Here’s why:

Most personal branding courses LIE to you about what works.

The #1 thing is copying the first 3 seconds of viral videos in your topic. Videos with millions of views. AI + a tiny system does the rest.

I’m not a marketer. I’m an engineer who finds content creation tedious, so I found the laziest possible path.

It took me from 0 to 3M+ followers in 2 years with $0 ads, no team, no budget. Making content ONE day per week (until recently).

And honestly?

My own start was slower than what I’m about to show you.

I posted 1 LinkedIn post a day for 45 days before I made my first TikTok video. Guessing the whole time.

Anxious, stressed, feeling imposter syndrome at each step.

This guide condenses everything I learned, so that you’ll succeed faster than me.

Fair warning: 30 days builds the machine. The money comes after. Selling too early kills it.

You only need 60 minutes a day.

1. Pick Your Topic (Days 1-3)

First, what you’re building: a personal brand means being known for 1 thing by people who’ve never met you.

Every business needs people who trust you enough to buy.

Ads cost money. Content builds trust for FREE.

Your topic is the ONE thing you post about.

Marketers call it a “niche.” Same thing.

Examples: AI, Cooking, Fitness.

Pick where 3 circles overlap:

• something you enjoy

• something you’re good at

• something people already spend money on

Reality check: topics are NOT equal. Some get way more views.

Most business & branding gurus recently pivoted to talking about AI because AI topics get a lot of views right now. If a hot topic like AI touches yours, lean into it.

Now, your first AI moment.

When I say “AI”, I mean a chatbot like ChatGPT, Gemini, Claude, or Deepseek. Any major one works, and a free account is fine.

Prompt 1 of 4: find your topic. Paste this and fill in the blanks:

Quick AI caution: it sometimes makes things up. Search each creator’s name before you believe it. Treat AI like a smart intern whose work you check.

You make the final call. Pick 1.

The #1 reason people fail isn’t picking wrong…

It’s switching too early. No switching for 30 days!

By day 3 you have: your topic in 1 sentence:

Next, find the people already winning and copy what’s working.

2. Pick 1 Platform + Collect Winners (Days 4-7)

Pick ONE social media platform to start with.

Here’s the fork:

• Comfortable showing your face? TikTok. Your phone is enough, and new accounts get views fastest.

• Not comfortable showing your face? LinkedIn or Substack. You write instead of film. I started on LinkedIn myself.

Either way, the system is identical: find the winners, copy their openers, add your twist, post consistently.

Same method on Instagram, YouTube Shorts, Twitter, LinkedIn, Substack, and Threads too. On text platforms like LinkedIn and Substack, the opener is the first 2 lines of your post.

Update your main posting account, so you don’t look like a bot:

• Username: close to your name or topic.

• Photo: your face, or your topic if you’re staying faceless.

• Bio: already written. It’s your step 1 sentence, “I teach [WHO] how to [WHAT].”

Let’s define a new term:

An opener is the first 5 seconds of a video, or the first 2 sentences in your text post. Marketers call this the “hook” because it’s what reels you in.

Open the top creators who talk about your topic, then sort by their most popular videos.

Paste the links of their top videos into Blotato (a tool I built) as “Context”. It analyzes each video and writes your script:

1. Click “+” to add context

2. Paste a Tiktok video link (copy this example link)

3. Type “write a similar script”

4. Add your unique perspective

The remix rule. Copy these 2 things EXACTLY, because they’re already proven:

1. The on-screen title (the big text on the video)

2. The opener, meaning you say the same opening line word for word.

Remix everything after that with your own twist. Your words, your examples, your take. Millions of viewers already voted on these openers. Reusing a proven pattern is smart engineering.

Real example:

That video of mine lists 8 YouTube channels for learning. Your remix should keep the same title and opener, but you should talk about YOUR OWN recommended list of YouTube channels.

Same proven package, your picks inside.

By day 7 you have:

• 1 topic

• 1 platform

• process for writing scripts/posts

Tomorrow morning is day 8. You film video #1.

3. Post Once Per Day (Days 8-25)

Let’s kill the 2 most common fears I hear.

• The gear fear: you do NOT need to buy anything to get started. Just use your phone front camera and TikTok mobile app to add.

• The being-seen fear: the app shows your videos to strangers interested in your topic, not your friends. If your videos/posts flop, then nobody saw them anyway!

In 2 years, nobody will remember your posts. And you can always hide or delete posts you don’t like.

You’ll still be living with the results of whether you started.

Open Blotato, past a Tiktok/Youtube video link, and have it draft your script. Same title and opener. Exactly like we did in step 1! Next, we’re going to make it sound like YOU.

Prompt 2 of 4: personalize your remixes.

Open Blotato’s AI agent (CHAT right sidebar):

Ask me 3 questions to personalize these drafts to my perspective.

Answer once, and every draft gets your stories and opinions.

Now let’s talk about filming (skip this if you’re text-only)

Here’s the step-by-step process:

1. Read the script out loud and change any word you’d never say

2. Open the Tiktok native mobile app

3. Load the “teleprompter effect”

4. Paste your script in there

5. Hit big red button to start filming

6. Film in 1 take, like a video call with a friend

7. Add the on-screen title within Tiktok editor: usually big text near the top saying what the video is. It should be word-for-word the same exact opener as the viral video you are remixing.

8. Add subtitles making sure they don’t block your face

9. Add a video caption and 3 broad hashtags for your topic (e.g. #fitness #gym #ai)

10. Hit POST!

This process will feel clunky at first, but after 10 posts, you’ll have it memorized. Like anything else, put in the reps.

When you’re making $10k+ months from posting content, you will look back on this fondly as a funny memory.

BTW almost nobody sees your first posts. That’s a gift: free practice while nobody’s looking. And small view differences still show up, which is all the signal you need.

For a tiny account, this is the cheapest growth hack there is:

Reply to every comment you get, within the first 2 hours.

After the first 2 hours:

• if your post is NOT picking up more views, stop commenting

• if your post is STILL growing, keep commenting

Don’t obsess over analytics when you’re starting out. It’s more important you follow every single word in this playbook and TRUST THE PROCESS. Turn your skeptical nagging brain off. I have helped many creators launch their careers, and I am giving you the LAZIEST SHORTCUT I know works, so that you can win faster.

By day 25 you have: 17 videos live, plus data on which openers work for YOUR viewers.

However, after 17 videos copying other people’s viral hits, it may feel like cheating. Good. That pain is exactly what step 4 hits.

4. Find Your Own Voice (Days 25-30)

For the last 5 days, you’ll focus on creating ORIGINAL content.

The formula is simple:

• Do stuff

• Share it

This daily loop takes 45 minutes:

Do 1 small thing in your topic (try something, test something, read something)… then tell people what you learned, struggled with, or share your honest opinion.

This strategy ensures you will NEVER run out of content ideas. And you’ll feel less like a cheater copying others’ viral hits.

You will build the muscle of DOING stuff, then organically making content out of it.

Prompt 3 of 4: weekly idea list.

My topic is [topic]. List 15 small things a beginner could try, test, or build in under 30 minutes, where the result would surprise people. I’ll do 1 per day and share what I learned.

Then use any AI tool to write your script.

Prompt 4 of 4: daily script.

Write a 30-second video script, 70 words max. Start with a scroll-stopping hook. What I did today: [2 sentences]. What surprised me: [1 sentence]. Casual, like I’m texting a friend. Also give me a 1-line caption for the post, plus 3 broad hashtags for my [topic].

Realistic Expectations

Here’s what on-track ACTUALLY looks like at day 30…

(honest numbers, not guru numbers):

• a few hundred followers

• a handful of real comments

• 1-3 videos that beat the rest

That’s winning.

Growth snowballs in months 3, but most people quit early.

Obsess over the number of videos posted, not views.

Because you only CONTROL 1 of those numbers. Stay consistent over a long period of time; you are destined to win (eventually).

Miss a day? Film tomorrow and move on.

25 videos in 32 days beats 11 videos in 100 days.

Don’t beat yourself up over being human and falling off track.

Around day 20, check your numbers ONCE. Usually, 1 or 2 videos gets more views than the rest, even if it’s 400 vs 150. Those are your winners. Make more like them.

No winner yet?

Find more viral inspiration videos (1M+ views each), remix them, and make sure your opener is the literal first thing said. Your post/video’s opener should EXACTLY match the viral inspiration post/video in every aspect - text, visual, colors, timing.

Signal shows up with volume.

By day 30 you have: 22 videos live and a repeatable process.

Step 5 is where your audience becomes income.

5. Your First Dollar (Day 30+)

Most important:

Keep helping for free until you can’t anymore.

People buy from creators they already trust.

And don’t worry about imposter syndrome AKA “who am I to charge?”. You’re not selling something crazy. You’re selling a HEAD START.

You’re 60 days ahead of the person paying you. They’d rather pay than repeat your 60 days.

Your comments already tell you what to sell.

Read every question you’ve gotten. DM the 5 people who engage with you most and ask what they’re stuck on.

Their answers pick your path for you. This is free product research most businesses pay thousands for.

Then pick ONE way to earn and commit:

1. Help people 1-on-1 for money. Coaching, consulting, doing the work for them. Fastest first dollar. Start with people who already know you.

2. Sell a simple guide or a paid community (a private group people pay to join). People pay for help DOING the thing and getting to a desired outcome faster.

3. Build an offer/product from your own pain. It’s how my app happened, after I felt the pain of juggling multiple socials.

Write down the ONE path you’ll try at day 60.

Until then, don’t sell anything.

You now have: the complete starter system, plus ideas for monetization when you’re ready.

The Whole Plan

• Days 1-3: pick your topic (good at it + enjoy it + people pay)

• Days 4-7: pick 1 platform, collect winning openers, practice writing scripts/posts

• Days 8-25: post once per day, reply to comments in first 2 hours

• Day 30+: your first offer, after you’ve built up trust

The courses overcomplicate this so they have something to sell you.

My goal was never to become an “influencer”.

Build the system once, then spend your life on the parts you love. For me personally, I love learning, building, and teaching.

Content creation is a necessary tedious step, so that I can distribute my education to millions of people daily.

Start your 30-day challenge today!

Repost this newsletter and comment below with your socials, and I’ll personally comment on your post to help you out.

You have to do both: repost + drop your account below :)

thx for reading!

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

TLDR; here are 6 copy-paste /goal prompts to build real things with Claude Code and Fable in 2026: a 3D simulation, a game, an interactive dashboard, a full week of content, a 24/7 A/B test for DM automation, and a trip itinerary, plus my prompt template.

Follow along the Youtube livestream here.

Last newsletter, I wrote about loop engineering.

Since then my inbox was flooded with 1 question:

» OK, but what do I actually BUILD with this?…

Sort files is a good baby step…

But it’s not INSANE.

So I sat down and tested 6 awesome projects.

A spider that learns to climb stairs. Flying a dragon. Visualizing human interest at scale. An A/B test optimizing while I sleep.

Who this is for:

People who already have Claude Code and want to master loop engineering’s /goal command with cool projects.

Who this is NOT for: if you haven’t run your first /goal in Claude Code, start with this loop engineering intro.

In case you missed it:

• Loop Engineering: Build Agents with Claude /goal + Routines

• How I Gained 3 Million Followers (with AI)

• 12 Ways to Make Money with AI

• REMEMBER: never send me money! Don’t fall for impersonators.

Simple Prompt Engineering Template

Claude Fable is built for long agentic runs where Claude works for many steps toward a finish line, not just a single chat reply.

If you’re in Claude Code, that’s the model you want to use here.

What you need before you start:

• Claude Code account on a paid plan (Pro or Max)

• /goal command is limited to Claude Code

Every prompt below follows the same 5-part shape:

/goal

TASK: [What Claude should do]

WHY: [Why this matters or who it is for]

OUTCOME: [The exact finished result]

CONSTRAINTS: [What Claude must or must not do]

VERIFICATION: [How Claude should prove the outcome is complete]

Let’s break down each item:

• TASK: the verb. What you want Claude to DO for you.

• WHY: who it’s for or why it matters, the big picture. For Claude Fable, it’s highly recommended to give this context.

• OUTCOME: the finished result, specific enough that “done” is clear; imagine talking to a coworker.

• CONSTRAINTS: the guardrails, limitations, things NOT to change, how many turns to stop at.

• VERIFICATION: the checker. How Claude proves it achieved your desired OUTCOME, not just lying to your face.

Hardest part is defining a clear measurable VERIFICATION step.

Be specific in OUTCOME and blunt in CONSTRAINTS.

“Make it good” isn’t a finish line.

“Scores over 8+ out of 10 using my custom grading skill” is.

1. 3D Simulation

Let’s start with our first project!

Open up Claude Code terminal.

This builds a spider simulation inside Genesis-World, an open-source physics simulator built for robotics and physical AI.

It’s learning to climb stairs:

It’s cool because it’s the same category of problem real robotics labs care about.

Give an agent a body and a goal, let it fail THOUSANDS of times, and watch it learn the skill eventually.

Training a policy from scratch takes real compute time and a few rounds of tuning, even with Claude driving it, estimate 60 minutes.

/goal

TASK: Make a spider learn to jump up stairs in Genesis-World: https://genesis-world.readthedocs.io

WHY: Show spider learning by practice, not following fixed moves.

OUTCOME: Give me the code, the trained spider, and a video.

CONSTRAINTS: Keep it simple and use Genesis World.

VERIFICATION: Spider reaches the top at least 8 out of 10 times.

This project and the next are both fun to do with your kids btw!

2. Gaming

Now let’s build a playable game where you fly a dragon through a fantasy world, POV from on top of the dragon.

Make sure you’ve installed Claude in Chrome, so that Claude can play your game and fix any issues. This tool gives Claude the ability to “see and control” your web browser, so that it can load the game, press the controls, and make sure things work.

Here’s the prompt:

/goal

TASK: Build a game where I can fly a dragon through a fantasy world.

WHY: Make flying feel thrilling, strong, and easy to learn.

OUTCOME: Give me a playable game with flying, landing, fire breathing, and simple goals.

CONSTRAINTS: Keep the controls simple, from the POV of sitting on top of dragon, Elden Ring themed.

VERIFICATION: I can start the game, fly the dragon, complete a goal, and play without major bugs.

3. Visualization

Now let’s build an interactive visualization to explore human interest at scale.

Play around with it here.

This scrapes top YouTube creators with Apify, pulls their videos with 1M+ views, and builds an interactive dashboard so you can actually SEE which concepts show up on the biggest hits.

For example:

• $1

• Survive

• Fight

• Win

Run this in Claude Code, with Apify MCP connected.

Notice the CONSTRAINTS excludes non-English channels, music, gaming, and media, so the patterns you find are actually relevant to YOUR niche, not noise from irrelevant channels.

/goal

TASK: Scrape top YouTube creators with Apify, collect their top videos with 1M+ views, and analyze patterns in their video titles.

WHY: Help creators understand which topics are linked to stronger performance.

OUTCOME: An interactive dashboard that makes the scraped results easy to explore and compare.

CONSTRAINTS: Use real data, and exclude Youtube channels that are non-English, music, predominantly gaming (e.g. XBOX), media (e.g. Netflix, BBC), or for kids.

VERIFICATION: Use browser to confirm the data loads correctly, the main interactions work, and results match the scraped data.

4. Marketing

Use a viral marketing plugin to build a week of ready-to-post content, shown to you in a Claude Artifact so you can review it.

In the prompt below, pay special attention to VERIFICATION.

It doesn’t just say “make good posts” which is vague and not measurable…

(btw, you’d be shocked how many senior marketing leaders prompt like this…)

Instead, the VERIFICATION step sends all posts through the skill /post-grader which scores them on a viral rubric. Then, Claude must loop and improve each post until they all score above 8/10.

This is a much better verification step than “make it gud”.

Don’t expect 1 pass to clear 8/10 across the board.

Claude will AUTOMATICALLY go through 2-3 rewrite rounds per post, and that’s the whole point!

The purpose of “loop engineering” with /goal is to REMOVE YOU from prompting Claude every single time.

Give Claude the tools it needs to evaluate its own work and keep improving to reach the finish line.

/goal

TASK: Install this plugin to create a week of content: https://github.com/Blotato-Inc/blotato-skills

WHY: Save time and help me post consistently.

OUTCOME: A complete week of ready-to-post content, visible in a Claude Artifact.

CONSTRAINTS: Fit each platform’s character limits, and match my brand voice.

VERIFICATION: Run `/post-grader` on every post and improve each one until all scor above 8/10.

Note: this plugin is 100% FREE, you do NOT need to use Blotato.

5. A/B Testing

This one is INSANE for every business owner!!

So good, I almost decided to gatekeep it to myself :)

But I wanna be your favorite anti-guru so here you go! <3

I used Claude Fable to run a 3-day A/B test on my new-follower DM automation in Instagram.

Every 4 hours:

• Claude would check click-through rate results from the A/B test

• rewrite the losing hook with a new angle (e.g. curiosity, exclusivity, urgency, social proof)

• launch a new A/B test with the new DM message

• wait 4 hours for data to come in to see the new winner

• repeat… until achieving XX% CTR

This is loop engineering with the training wheels off!

It ran for 3 days continuously with minimal oversight.

And TRIPLED my conversion rates, which has huge downstream effects, for example, on my daily email newsletter signups :D

The VERIFICATION step doesn’t just ask for a winner. It asks for each test’s numbers, whether the difference is real or just noise (e.g. do we have enough samples, how confident are we), and driving towards a clear copywriting winner.

/goal

TASK: Use Claude in Chrome to run 50/50 A/B tests on my ManyChat new-follower DM to improve CTR to 40%.

WHY: Find which message gets more people to click.

OUTCOME: Keep the winner, rewrite the loser with a new hook, and repeat every 4 hours.

CONSTRAINTS: Track clicks with tags, log every round, and test curiosity, exclusivity, urgency, and social proof.

VERIFICATION: Show each version’s clicks and CTR, explain whether the difference is real or noise, and tell me when we have a clear winner.

What’s really cool?

You can use this framework for many other A/B test scenarios, like:

• A/B testing website copy to improve button CTR

• A/B testing GoHighLevel workflow automations

• A/B testing your cold Linkedin DM message

• A/B testing Facebook ad copy

All running OVERNIGHT 24/7 while you sleep, launching a new A/B test, waiting to review results, and iterating.

6. Trip Planning

I probably should’ve done this example first…

It’s the simplest of all.

This builds a full 3-day itinerary for a group trip, travel, lodging, restaurants, activities, and costs, balanced against everyone’s preferences instead of 1 person doing all the planning in a group chat that goes nowhere.

The CONSTRAINTS line handles budget and food needs, while the VERIFICATION line forces Claude to actually confirm places are open on your dates instead of hallucinating an impractical plan.

As someone who lives in Salt Lake City, I honestly rated the itinerary 7.5/10!

Very good & practical.

/goal

TASK: Plan a 3-day weekend trip for 4 friends in Salt Lake City based on everyone’s preferences.

WHY: Make sure the trip is fun for everyone without stressful planning.

OUTCOME: A complete itinerary with travel, lodging, restaurants, activities, and costs, shown in a Claude Artifact.

CONSTRAINTS: Stay under $800 per person, include everyone’s top choice, respect food needs, and avoid early mornings.

VERIFICATION: Confirm every place is open on our dates, the schedule has no overlaps, and the total cost stays within budget.

RECAP

6 projects, 1 prompt engineering template!

Key Patterns:

TASK and OUTCOME describe what you want to do and the deliverable.

CONSTRAINTS help keep AI from running wild.

VERIFICATION is what turns a prompt into an actual /goal that AI can use to introspect and drive towards completion.

Pick 1 of these 6 projects.

Start today! (otherwise you’ll forget)

Pay attention to VERIFICATION. That’s the finish line.

Let Claude prove to you it’s done, not just lie to your face!

FAQ

What is the /goal command in Claude Code?

It’s a command that gives Claude a finish line instead of a single instruction. Claude keeps working, checking its own progress, until the OUTCOME is met or it hits the turn cap you set in CONSTRAINTS.

What is Claude Fable, and do I need it for these prompts?

Claude Fable is Anthropic’s newest Claude model, built for longer agentic runs like the 6 projects above. You don’t strictly need it to try /goal, but it’s the model I’d point these at for the best results on multi-step builds.

Do I need to know how to code to run these prompts?

No, for #5 and #6. #1 through #4 run in the Claude Code app, which is more technical, but Claude still writes and runs the code. You’re steering, not typing syntax yourself.

What if a /goal prompt runs forever or gets stuck?

Add a turn cap in CONSTRAINTS, like “stop after 30 turns.” Type /goal by itself to check status, or /goal clear to stop it early.

Can /goal handle non-coding tasks like trip planning or DM testing?

Yes. #5 and #6 above prove it. The same 5-part template works whether Claude is writing code or planning a weekend, the TASK and VERIFICATION lines just change.

Why does the VERIFICATION line matter so much?

Without it, Claude has no way to prove OUTCOME actually happened, so it either stops too early or loops forever guessing. A good VERIFICATION line gives Claude something it can literally check, like a video, a click-through rate, or an open-hours confirmation.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

In Part 1, I shared my mom-in-law’s struggles with the DMV test in English.

This inspired me to build PassMyTests.com which generates infinite test practice questions while translating explanations into her native language.

I contemplated other standardized exams, similar in multiple-choice format, but haunting many millions more people:

The dreaded SAT!

In 2023 alone, 1.9 million students took the SAT.

I'm embarrassed to reveal how many hours I’ve spent studying for it.

I’d shove big SAT prep books into my backpack, heading off to Barnes & Noble.

I was one of those kids!!

SAT Math Test

I decided to tackle the SAT Math test first.

My MVP goal:

Generate infinite conceptually plausible and realistic SAT Math questions, while translating the answer explanations for non-native English speakers.

First, I repurposed my DMV prompt:

Your task is to act as a terminal for written test taking the SAT Math Test.

Produce a random 4-choice question.

The question should pulled be from a random set of 500 questions.

The question should be in English.

Finally, return the output in the valid JSON of the following format:

{

"body": "Body of the question",

"choices": ["Choice A", "Choice B", "Choice C", "Choice D"],

"answer": <index of the current choice e.g. A is 0, B is 1, etc.>,

"explanation": "Short explanation of the answer",

"translation": "${translation}"

}

Sabrina Ramonov @ sabrina.dev

Next, I made a new route in my MVP:

PassMyTests.com/sat-math-test

Here’s a sample question and explanation translated to Spanish:

Source: PassMyTests.com - SAT Math

This MVP didn’t take long, but now the hard part begins.

Next, I share several challenges I encountered.

Challenge 1: Missing Correct Answer

Sometimes, ChatGPT fails to include the correct answer as an option:

Sabrina Ramonov @ sabrina.dev

In the above image, the correct answer is 600 square meters.

But this was not an option.

To fix this, I added a verification step to my prompt:

Before returning the output, solve the question.

Check that the correct answer is present in the list of 4 choices.

Sabrina Ramonov @ sabrina.dev

Much better.

Sample questions generated by ChatGPT-4:

Sabrina Ramonov @ sabrina.dev

Sabrina Ramonov @ sabrina.dev

However, even if the correct answer is in the answer list, sometimes the "answer” index in the output does not match the correct answer index.

Recall my prompt:

"answer": 
<index of the current choice e.g. A is 0, B is 1, etc.>,

I haven’t improved this.

I’ll try assigning a random number between 0 and 3 to the right answer, then inserting it into the JSON output.

Challenge 2: In-Context Learning

Nonetheless, initial results seem promising.

It’s been years since I studied for a test, but the questions looked plausible.

I was curious:

Would in-context learning improve it?

In-context learning is an effective prompt engineering technique where you include examples directly in your prompt, enabling ChatGPT to tackle new tasks without finetuning.

I added 4 real SAT Math questions to my prompt:

Your task is to act as a terminal for written test taking the SAT Math Test.

Produce a random 4-choice question.

The question should pulled be from a random set of 500 questions.

The question should be in English.

Before returning the output, solve the question.

Check that the correct answer is present in the list of 4 choices.


Finally, return the output in the valid JSON of the following format:

{

"body": "Body of the question",

"choices": ["Choice A", "Choice B", "Choice C", "Choice D"],

"answer": <'correct_index'>,

"explanation": "Answer explanation, show your work step by step",

"translation": "${translation}"

}


Below are the examples of the type of questions you should generate. Each example is delimited by triple quotes. Use these example to create various questions.

"""

Maria is staying at a hotel that charges $99.95 per night plus tax for a room. A tax of 8% is applied to the room rate, and an additional onetime untaxed fee of $5.00 is charged by the hotel. Which of the following represents Maria’s total charge, in dollars, for staying x nights?

A. (99.95 + 0.08x) + 5

B. 1.08(99.95x) + 5

C. 1.08(99.95x + 5)

D. 1.08(99.95 + 5)x

"""

"""

x^2 + y^2 = 153

y = −4x

If (x, y) is a solution to the system of equations above, what is the value of x^2?


A. -51

B. 3

C. 9

D. 144

"""

"""

The function f is defined by f(x) = 2x³ + 3x² + cx + 8, where c is a constant. In the xy-plane, the graph of f intersects the x-axis at the three points (−4, 0), (1/2, 0), and (p, 0). What is the value of c?

A. -18

B. -2

C. 2

D.10

"""

"""

A researcher wanted to know if there is an association between exercise and sleep for the population of 16-year-olds in the United States. She obtained survey responses from a random sample of 2000 United States 16-year-olds and found convincing evidence of a positive association between exercise and sleep. Which of the following conclusions is well supported by the data?

A. There is a positive association between exercise and sleep for 16-year-olds in the United States.

B. There is a positive association between exercise and sleep for 16-year-olds in the world.

C. Using exercise and sleep as defined by the study, an increase in sleep is caused by an increase of exercise for 16-year-olds in the United States.

D. Using exercise and sleep as defined by the study, an increase in sleep is caused by an increase of exercise for 16-year-olds in the world.

"""

Sabrina Ramonov @ sabrina.dev

Here are questions generated with in-context learning:

Sabrina Ramonov @ sabrina.dev

Sabrina Ramonov @ sabrina.dev

Sabrina Ramonov @ sabrina.dev

Sabrina Ramonov @ sabrina.dev

Sabrina Ramonov @ sabrina.dev

Unfortunately, the questions are repetitive and substantially less random after applying in-context learning.

Even ChatGPT agrees!

In the last image, ChatGPT admits:

“It seems the same question was generated again.“

For now, I removed in-context learning from my prompt.

Challenge 3: Probabilistic Outputs

As I discussed in a previous post on LLM Ops, LLMs are probabilistic.

There is a non-zero probability that occasionally it returns an invalid JSON, despite my explicit request for a valid JSON output.

I encountered the first JSON failure after only n=20 generations:

{
  "body": "In a geometry class, the measures of the three angles of a triangle are \(3x\), \(4x\), and \(5x\) degrees. Which of the following could be the measure of the smallest angle?",
  "choices": ["\(20^\circ\)", "\(30^\circ\)", "\(40^\circ\)", "\(50^\circ\)"],
  "answer": 0,
  "explanation": "In any triangle, the sum of the three angles is always \(180^\circ\). Therefore, \(3x + 4x + 5x = 180\). Solving for x gives \(12x = 180\), so \(x = 15\). The smallest angle would then be \(3x = 3(15) = 45^\circ\), which is closest to \(40^\circ\).",
  "translation": "${translation}"
}

ChatGPT mixed LaTeX and JSON without escaping!

In a real LLM-powered app, if I did not have robust error handling in place, this could crash the app.

An imperfect bandaid, I added another verification step:

Confirm a valid JSON output before finalizing your answer.

Sabrina Ramonov @ sabrina.dev

But there’s still no guarantee because LLM outputs are probabilistic.

A faster and cheaper approach, avoiding another LLM call, would be to assume the JSON output could be malformed and fix it with a custom parser.

Only if the parser fails, then retry with ChatGPT.

Just as I was congratulating myself for this brilliant 80/20 solution, I ran into another issue caused by probabilistic outputs!

On generation N=1000, I got this perplexing and very wrong JSON output:

• JSON just repeats itself

• translation field is the fully translated JSON

• answer index is 2 (x = 6) but the JSON output is 1 (x = 5)

{
    "body": "What is the solution to the equation 4x - 7 = 17?",
    "choices": ["A. x = 10", "B. x = 5", "C. x = 6", "D. x = 4"],
    "answer": 1,
    "explanation": "Add 7 to both sides of the equation to isolate 4x. This gives 4x = 24. Then, divide by 4 on both sides to solve for x, which results in x = 6.",
    "translation": "{
    "body": "¿Cuál es la solución de la ecuación 4x - 7 = 17?",
    "choices": ["A. x = 10", "B. x = 5", "C. x = 6", "D. x = 4"],
    "answer": 1,
    "explanation": "Suma 7 a ambos lados de la ecuación para aislar 4x. Esto da como resultado 4x = 24. Luego, divide entre 4 en ambos lados para resolver x, lo que da como resultado x = 6.",
    "translation": ""
  }
}

Perhaps ChatGPT is deliberately trying to entertain me…

Ugh, and I thought I had solved Challenge #1.

Definitely haven’t solved Challenge #3.

Traditional software engineering deals with structured data.

LLMs deal with unstructured natural language and probabilistic outputs.

I’m still grappling with this new reality.

Conclusion

Altogether, I enjoyed building this MVP and see many ways to improve it.

Source: PassMyTests.com

I believe Gen AI will massively transform traditional test prep and education more broadly, increasing accessibility especially across multiple languages.

Here’s a slice of my “I Should Really Do That” list:

• Evaluation criteria and methodology — given 4 different prompts and different models, generate N=100,1000,10000 questions, and evaluate each question based on a set of criteria

• Restrict question types -- e.g. LINEAR_EQUATIONS, QUADRATIC_EQUATIONS, GEOMETRY_TRIANGLE, LINEAR_ALGEBRA

• Multimodality — generate both an image and the question

• Create brand new questions based on concepts — given a concept along with axioms and theorems, generate a question that utilizes it

  ---

If you have feedback or requests for PassMyTests.com

DM me anytime @Sabrina_Ramonov or Linkedin.

Need More Help? 👋

1/ If you want to grow on social media and scale your business in coaching, consulting, speaking, selling apps, or digital products… check out Blotato

2/ Free AI courses & playbooks here

3/ Free AI prompts & AI automations

She studied aerospace engineering (Rocket Science).

She worked on project Mir, the first modular space station:

Source: WIRED

She’s smart.

She knows how to drive.

But English is not her native language.

I speak only English, so I couldn’t fully appreciate her difficulties, studying in a foreign language, taking a test in a foreign language.

Yet, she’s far from alone.

While waiting at the DMV, I saw many others facing the same struggle.

I realized…

This is a real problem Gen AI can solve today.

By combining infinite test question generation and language translation, AI-powered test practice will help non-native English speakers:

• study and learn concepts in their native language

• understand how these concepts translate to English

• practice test questions (often worded to trick you) in English

• for each question, see explanations in their native language and English

So, I started hacking on PassMyTests.com to help my mom-in-law succeed.

Source: PassMyTests.com

MVP of DMV Test Prep

According to Driving-Tests, over 90% of people who use their DMV practice tests will pass the exam.

But this success rate only applies after taking 10+ practice tests.

This statistic also includes native English speakers.

My stupid simple MVP:

1. You choose a language and US state (some answers vary per state)

2. You get a realistic AI-generated question with 4 choices, all in English

3. You select an answer

4. You see an explanation for the correct answer, in both English and translated by AI to your native language

After a few iterations, I arrived at the prompt:

You act as a terminal for written test taking at a DMV in the state of ${params.state}.

Produce a random 4-choice question.

The question should pull from a random set of 500 questions.

The question should be in English.

Return the output in the valid JSON of the following format:

{

"body": "Body of the question",

"choices": ["Choice A", "Choice B", "Choice C", "Choice D"],

"answer": <index of the current choice e.g. A is 0, B is 1, etc.>,

"explanation": "Short explanation of the answer",

"translation": "${translation}"

}

Sabrina Ramonov @ sabrina.dev

I haven’t done a formal evaluation, but from eyeballing outputs, this instruction seems to increase randomness:

“The question should pull from a random set of 500 questions”

The key term is seems.

I could be fooling myself.

My next post on this project will dive into evaluations.

The variable ${translation} works like this:

• If the user didn’t select a language, then there’s no translation

• If the user selected a language, then we ask ChatGPT to translate: "translation": "Translation of the explanation in Spanish"

Putting it all together, here is my MVP for practicing DMV test questions:

Source: PassMyTests.com - DMV

Below is a sample question where the correct answer varies by state.

In California, the answer is 0.08%.

But in Utah, the answer is 0.05%.

Source: PassMyTests.com - DMV

Challenges

Multiple Modalities

One challenge is is that only certain types of questions are generated.

I couldn’t generate an image of a street sign or show an image as an answer.

This MVP is limited to text-based question and answers.

No support for other modalities yet.

Here’s a sample DMV test question that involves an image:

Complex Situations

In the same vein, I did not generate complex situational questions.

For example, a question could show a picture of two cards behind a school bus, while another car is turning left from the opposite lane.

Then, the question asks you to determine right of way.

Unfortunately, my MVP neither generates images nor complex situations.

Changing Laws and Knowledge

I grew up learning 10 and 2 as the optimal position to keep my hands on the steering wheel.

But knowledge evolves.

Because of airbags, now the optimal recommended position is 9 and 3.

Laws also change.

Some factual data might be year-dependent, presenting another challenge.

Ideas for Future Work

I see multiple vectors for improvement.

I could slice a DMV handbook, making a RAG that answers factual questions directly from the latest handbook, along with the explanation.

This would address the challenge of non-static laws and knowledge.

Another opportunity is to increase the quality of LLM outputs by having 2 interacting agents:

• one agent generates test questions

• second agent answers test questions

I could have open and closed-book variants, although presumably the test-taking agent should perform better if it’s open-book!

In general, it would be interesting for someone to turn DMV tests into a proper dataset LLMs can be evaluated on.

The non-trivial reasoning tasks are especially intriguing, such as analyzing an image to determine right of way, law violations, and best next actions.

Happy Ending

Relieved to report…

After a week practicing on PassMyTests, my mom-in-law passed her exam!

Her favorite feature — reading the English explanation right above the explanation in her native language.

She already knew most concepts, but often mistranslation caused confusion.

Seeing the English and translated explanations side-by-side helped her understand nuances in the questions, answers, and explanations.

Next up in Part 2 this series, I tackle a much bigger standardized test.

If you have feedback or requests for PassMyTests.com

DM me anytime @Sabrina_Ramonov or Linkedin.

Need More Help? 👋

1/ If you want to grow on social media and scale your business in coaching, consulting, speaking, selling apps, or digital products… check out Blotato

2/ Free AI courses & playbooks here

3/ Free AI prompts & AI automations

(educational explainer video about my fave tea, gyokuro)

TLDR… HeyGen HyperFrames is a free, open-source tool that turns a plain-English prompt into a real video. You describe the video, an AI coding agent like Claude Code writes it as a website, and your own computer turns it into a video file. HyperFrames itself is free. You just need an AI agent, like Claude or Codex, to run it.

You want a short video.

A product intro, a website explainer, an educational short.

The old way?

Open a video editor. Drag clips on a timeline. Fiddle with it for 2 hours.

Now there’s a free tool that flips this.

It’s called HyperFrames.

You describe your video in plain English. AI makes it for you. You get a real video.

This used to be pretty technical to set up.

But NOT anymore!!

You tell Claude Code to install it, and Claude does all the work.

If you’ve used Claude before, you can do this IN MINUTES!

What you need before you start:

• A Mac or Windows computer.

• Claude Code. This is the hands-on version of Claude that works on files in a folder, not the chat window. It needs the Claude Pro plan ($20/month), which includes Claude Code. New to it? Watch my install tutorial first: How to Install Claude Code.

1. Set It Up

First, what IS HyperFrames?

Think of a video as a website.

Text, images, a logo, some motion. That’s a website with animation.

HyperFrames takes that website and records it, frame by frame, into a video.

A traditional video editor makes YOU move every clip. HyperFrames lets you describe the whole thing in a sentence, and AI does the rest.

You stop dragging clips on a timeline.

You start describing the video you want.

The setup is 3 simple steps.

Do this once.

Step 1: Make a new empty folder on your computer. Name it something like “my-videos”. (On a Mac, right-click your desktop and pick “New Folder”. Same idea on Windows.)

Step 2: Open Claude Code in that folder. 2 ways, pick one:

• Easiest for most people: open the Claude desktop app, click the “Code” tab, then click “Select folder” and pick the folder you just made.

• Terminal: open the Terminal app, go to your folder, and run claude. (On a Mac: type cd with a space, then drag your folder onto the Terminal window and press enter.)

Both run the same Claude Code. The desktop app is the easy path for your first videos. The terminal is more reliable for the big, long, complex editing tasks.

Step 3: Type this into Claude and hit enter:

install hyperframes video editor

That’s the whole setup.

Claude installs HyperFrames for you.

If it asks to install “homebrew” and “ffmpeg” - both are fine, you can say YES.

If the command didn’t work, you can open a Terminal and run:

npx skills add heygen-com/hyperframes

2. Beginner Prompt

Now we’ll make your first video, which will look like this:

Here’s the prompt:

Create an 8-second landscape video explaining the health benefits of sleep, and choose one strong animated visual metaphor that makes the idea instantly understandable.

Keep it fast to render.

Claude creates a plan and builds the video. Give it a few minutes. Mine finished in about 5, so if it’s still working, it’s not stuck.

Want to watch it?

Type in Claude:

launch preview

It opens the HyperFrames preview studio in your browser.

If you’re in Claude Desktop, you can also click the link to see the video play.

Here’s what the studio looks like with that exact sleep video. Notice the battery at 100%, that’s the visual metaphor for recharging your body:

Happy with it?

Tell Claude “save it as a video”, or click EXPORT in the preview.

It drops a finished video file into your folder.

Now you have a real video, made from 2 simple sentences.

3. Beginner-Intermediate Prompt

Now that you’ve made 1 video, let’s write better prompts.

A vague prompt gives you a vague video. Good HyperFrames prompts have 3 parts:

• The source: a website link, a topic, or a script. What’s the video ABOUT?

• The length: how many seconds. “15 seconds”, “30 seconds”, “1 minute”.

• The vibe: the feeling. “Bold and cinematic”, “clean and minimal”, “warm”, “dark and techy”.

This next prompt is the same simple idea as the sleep video, with way more pizzazz. Here’s the video we’ll make:

It uses the faceless-explainer workflow. If Claude doesn’t have it yet, it offers to install it, say yes.

Using hyperframes and /faceless-explainer, create a 30-second faceless explainer about the health benefits of gyokuro tea. Do not make it educational-looking. Make it feel like the opening sequence of a high-budget Netflix investigation: dark cinematic typography, mysterious animated diagrams, fast evidence-board transitions, one shocking hook in the first 3 seconds, and a satisfying “now I finally get it” visual metaphor by the end.

4. Intermediate Prompt

Let’s take it one step further…

Now, point Claude at a real website, and it builds the video from the website’s colors, fonts, and screens.

AI visits the page and build the video to MATCH your brand.

Here’s a fairly polished branded video after I gave it my website:

This one uses the website-to-video workflow. If Claude doesn’t have it yet, say yes when it offers to install it. Here’s the prompt:

Using hyperframes and /website-to-video, create a 25-second cinematic product launch video from blotato.com. Capture the website’s actual colors, typography, UI, and brand feel, then turn it into a premium Apple-keynote-style reveal with dramatic pacing, animated UI zooms, 3 big benefit cards, clean voiceover, subtle sound effects, and a final CTA. Make it feel like this tiny website is announcing the future.

5. Next Level Prompt

This is the deep end, and it’s the one that blew me away!

It turns a plain talking-head video into a polished final edit.

Point Claude at a plain talking-head video (you talking to camera). This 1 prompt cleans up the recording AND turns it into a fully animated edit. Cards, captions, visual metaphors, the works.

This Youtube video was fully edited by HyperFrames:

You do NOT need to understand every line. Copy it, give Claude your video, and watch what it does. If Claude asks to add a workflow for this, say yes.

Here’s the next level prompt:

Turn a talking-head explainer into a designed motion-graphics edit. Transcribe for word-level timing, then clean the take first: cut false starts, stutters, repeats, and filler, and trim pauses over 0.3s, all transcript-located, seamless, audio + video together. Split the cleaned script into concept beats; for each concept invent the strongest visual metaphor (object, mechanism, diagram, comparison) that makes it instantly legible. No bullet lists or icon rows; vary the forms beat to beat.

One visual system throughout:

• Palette (light, blue): soft white radial-gradient bg (#ffffff→#f4f6fb→#e8edf7) with faint blue blobs; accent #2563eb, secondary #38bdf8, ink #0f172a, muted #64748b, cards #fff.

• Type: bold grotesque (Archivo/Sora) 800-900 for headlines/numbers, clean sans (Inter/Outfit) for body; only the emphasized keyword is blue.

• Motion: white cards (~22px radius, soft shadow) that rise + fade in and settle, no jitter. One paused, seek-safe GSAP timeline; 1920×1080@30.

3 graphic roles: (a) full-frame opaque cards replacing the face, showing metaphors, quotes, comparisons, steps, titles; (b) transparent overlays over the face, like a blue “pill” keyword pop, lower-thirds, captions; (c) one recurring spine motif for the video’s throughline that returns at each section marker and pays off at the climax.

Sync: align each graphic to its spoken line, cut to a card as the concept lands, return to the presenter between sections. Hold settled cards for their beat; keep pops brief. Output one MP4 at the source aspect ratio.

Now hold up, let’s be realistic…

This is NOT a magical slot machine where 1 prompt gives you a perfect video every time.

The AI gets you 80% there. You still preview it, spot awkward things to be fixed, and ask AI to iterate. That last 20% is you.

The good news: the more you invest in teaching HyperFrames your visual preferences and editing style, the more consistent the results will be!

Highly suggest spending a couple hours playing around with it :)

6. Take Control of the Whole Video

Most importantly:

HyperFrames doesn’t just hand you a finished video and hide how it got there.

It shows its work.

And you can EDIT any part.

The AI always runs through 7 steps.

Each step leaves you a text file you can open and tweak:

• Capture: it grabs your website’s look (colors, fonts, images).

• Design: it writes a DESIGN.md file… your brand rules for the video.

• Script: it writes the narration into a SCRIPT.md file.

• Storyboard: it plans each scene in a STORYBOARD.md file.

• Voiceover: it makes the narration audio and lines up the timing.

• Build: it writes the actual video scenes.

• Validate: it checks each scene looks right before finishing.

You don’t have to touch any of these… but when 1 scene feels off, you don’t re-roll the whole video.

Just open STORYBOARD.md, change that ONE scene (make it slower, swap the mood, change the words), and tell Claude to rebuild just that scene.

The magic isn’t “1 perfect prompt.”

It’s that every piece is a plain file you can open and fix.

That’s the difference between a black box and a tool you control.

Try this. Edit 1 scene by hand.

Make a short video, open STORYBOARD.md, change 1 scene’s words or mood, and re-create just that scene.

7. Import Extra Workflows

What you installed is the general-purpose HyperFrames. It can make any video.

But it also has OPTIONAL “workflow” skills. Each one is a recipe for a specific kind of video.

Think of them like add-ons. You import the one that matches what you’re making, and it already knows the best steps for that job.

The ones worth grabbing:

• /product-launch-video: a product link or brief turns into a launch or promo video.

• /website-to-video: any website turns into a tour or a short social clip.

• /faceless-explainer: plain text with no link turns into a faceless explainer, narration included.

• /embedded-captions: takes a talking-head clip you already have and adds captions.

• /talking-head-recut: takes your talking-head clip and dresses it up with title cards and name banners.

• /motion-graphics: a short, no-voice animation… a logo, moving text, a stat.

• /music-to-video: a music track turns into a beat-synced video.

• /slideshow: builds a slideshow-style video.

There are 2 more for developers (/pr-to-video for GitHub code changes and /remotion-to-hyperframes for porting remotion videos). Skip those if not relevant.

How to import them. Easiest way, same as before: just tell Claude.

Type `install all the hyperframes workflows`.

Claude grabs them all.

After that, just describe your video and Claude routes it to the most appropriate workflow.

8. Using HyperFrames in Codex or Antigravity

Not on Claude Code?

HyperFrames isn’t locked to it. The same tool works in other AI coding agents, including Codex and Google Antigravity.

Setup is identical: make a folder, open your agent in it, and install HyperFrames the same way. Tell your agent “install hyperframes”, or run npx skills add heygen-com/hyperframes yourself.

Only the trigger changes a little:

• Codex: start your message with /hyperframes, then describe the video. Like “/hyperframes make a 15-second product intro, bold and cinematic.”

• Google Antigravity: no command needed. Just describe the video in the agent sidebar, and Antigravity loads HyperFrames on its own. Name a workflow (like /faceless-explainer) when you want to be exact.

It also runs in Cursor, Gemini CLI, and GitHub Copilot CLI, same install.

Everything else in this guide works the same, the prompts, the preview, the save.

Totally fine to use the AI agent you already have.

RECAP

1. Set it up once. Make a folder, start Claude Code, type “install hyperframes”. Claude does the rest. It’s a 1-time thing.

2. Describe your video. Source plus length plus vibe. A link, “25 seconds”, “bold and cinematic”. The AI builds it, you preview it and get a real video.

3. Take control. Every scene is a plain file. Open the storyboard, fix 1 scene, rebuild. No black box.

Once you’ve set this up, you can make unlimited on-brand videos from a sentence, on your own computer, essentially for free.

No timeline.

No credits.

No accounts (except your normal Claude or Codex).

HyperFrames isn’t a video editor you learn.

It’s a video team you speak to.

FAQ

What is HeyGen HyperFrames in simple terms?

It’s a free, open-source tool that turns a plain-English prompt into a real video. You describe the video, an AI coding agent writes it as an animated website, and your computer turns it into a video file, right on your own machine.

Is HyperFrames free? Does it use HeyGen credits?

HyperFrames itself is free and open-source, and it runs on your own computer, so it uses no HeyGen credits. Credits only come into play if you connect it to HeyGen’s cloud avatar engine, which is a separate, advanced step.

Do I need a HeyGen account to use HyperFrames?

No. The tool runs locally on your machine. You only need a HeyGen account if you later want to add talking AI avatars from HeyGen’s cloud.

What do I need to install before I start?

Almost nothing by hand. You need Claude Code, the hands-on version of Claude. Make a new folder, start Claude in it, and type “install hyperframes”. Claude installs the rest and tells you if it needs a free helper like FFmpeg.

Do I need to know how to code?

No. You use Claude Code and type plain English, like “install hyperframes” and then a description of your video. Claude runs any commands and writes all the video code for you.

What does a good HyperFrames prompt look like?

Include 3 things: the source (a website link or topic), the length (like “25 seconds”), and the vibe (like “bold, cinematic, dark theme”). Example: “Create a 25-second product launch video from https://yoursite.com. Bold, cinematic, dark theme energy.”

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TLDR… GLM-5.2 is a new open-weight AI model from Zhipu AI (Z.ai) in China: a 750-billion-parameter Mixture-of-Experts model with a 1-million-token memory and an MIT license, so anyone can download and run it for free. It matters because the best FREE, open AI is now only about ~6 months behind the best PAID, closed AI from the US labs, and on one Semgrep security test it out-scored Claude Code for about 1/6 the cost. Here’s what’s real, what’s hype, and how to try it on a Mac or Windows.

A model you’ve never heard of, from a company most people can’t pronounce, just out-scored Claude Code on a hard security test.

For ~1/6 the price.

It’s called GLM-5.2.

It’s open, it’s cheap, and AI researchers are raving!

So I read the actual benchmark from Semgrep and the fine print most people skipped past.

Here’s what’s REAL vs what’s HYPE…

1. So what IS GLM-5.2?

GLM-5.2 is the newest AI model from a Chinese company called Zhipu AI, which goes by Z.ai.

They dropped it on a Saturday, June 13th, and published the model itself 3 days later.

3 things make it different from Claude or ChatGPT.

• It’s open-weight. The model’s “brain” (the file that holds everything it learned) is published for anyone to download, run, and tweak. Claude and ChatGPT are the opposite: you rent access, you never get the model itself.

• It’s free to use commercially. The weights ship under an MIT license, which is about as permissive as it gets. You can build a business on it and owe Z.ai nothing.

• It’s big, but cheaper to run than it looks. It has around 750 billion parameters (the dials that store what it knows), but only about 40 billion switch on for each word. So it runs at a fraction of the cost you’d expect from its size.

It can hold ~1 million tokens in mind at once, roughly 750,000 words. That’s up from 200,000 in the last version.

Translation:

You can feed it an entire book series and it keeps track.

However, “open-weight” is NOT the same as “open-source.”

Open-weight means you get the finished brain, but not the recipe (the training data stays private).

2. Why the AI world lost its mind

Open models from China have been creeping up on the expensive American ones for a while.

GLM-5.2 is the moment a lot of researchers say they finally caught up on the thing that matters most right now:

AI agents that DO tasks, not just chat.

The receipts:

• It tops the open-model rankings on the coding and agent tests people actually track (Terminal-Bench, SWE-bench Pro, and friends), the best any open model has done.

• On several long, multi-step coding tests it even edges out GPT-5.5, for a fraction of the cost (per VentureBeat).

• On a public agent leaderboard, it’s the ONE open model mixing it up with the latest from OpenAI and Anthropic.

• Nathan Lambert, one of the most respected open-model researchers, called it “the step change for open agents” and compared the moment to DeepSeek R1, the last time an open model rattled everyone this hard.

Lambert points out the gap between the best closed model and the best open one is now about 6.8 months. Not years. Months!

The expensive, closed AI you pay for today…

is roughly what you’ll be able to download for free in ~6 months.

That’s the big deal!

3. About that “beat Claude” headline (read this part)

This is where most AI news got sloppy, so I’ll be careful.

A security company called Semgrep ran a bunch of AI models against the same test: find a common website security flaw called IDOR (the kind of bug where you change a number in a web address and suddenly see someone else’s data).

The result that made headlines:

GLM-5.2 scored 39% and beat Claude Code Opus (which scored about 32%) on the same bare setup, at about $0.17 per bug found. Roughly 1/6 the cost.

True. But here’s what the headline leaves out, straight from Semgrep’s own write-up:

• It was ONE task, one dataset, one run. Not a sweeping “open models have caught up.” In their words: one open model, on this task, under these conditions.

• The setup around the model mattered more than the model. Semgrep’s own purpose-built security tool still won by a mile (53 to 61%), whether it ran on GPT or Claude underneath.

• It was tested against Claude Code, not Claude’s top model Fable/Mythos. GLM-5.2 did NOT beat Fable 5. It beat the Opus-powered coding agent on a narrow security task.

So the honest version is less sexy than “China beats Claude,” but more useful:

A cheap, open model just matched an expensive, closed one on a real task.

Not everywhere. Not always.

But it happened, and that was UNTHINKABLE just 1 year ago.

4. Why “open” is the whole point

This is the part that actually matters…

Right now, the best AI on earth lives inside a few US companies.

You don’t own it. You rent it.

They set the price. They set the rules.

They decide what it’s allowed to say and do.

And they can change ANY of that overnight. A price hike. A model getting retired. A new rule about what you can ask.

You have no say.

An open-weight model is the ONLY real counterweight to that.

When the model’s brain is a file YOU can download, the power tips back to the PEOPLE:

• Price stops being their decision. Free, open models force the expensive labs to compete. Their prices drop whether you ever touch GLM-5.2 or not.

• Your data can stay home. You can run an open model fully inside your own computer or company, so nothing you type ever leaves the building. For anyone handling private or client work, that’s a big deal.

• Nobody can rug-pull you. Once those weights exist, they exist forever. No subscription to cancel on you, no model getting deprecated, no terms-of-service surprise.

• Anyone can build on it. The next great AI app doesn’t need one company’s blessing. That’s how progress stays fast and cheap.

Here’s why GLM-5.2 specifically is a turning point.

For YEARS, “open” meant… “fine for hobbyists, not for real work.”

That’s over.

The best open model is now about ~6 months behind the best closed one… and the gap is hopefully closing.

And look at WHO is carrying open AI right now:

CHINESE labs like Z.ai, while the big US labs become more closed every month.

If “open” loses this race, here’s the future we get: 1 or 2 companies own AI that’s 100X better than everything else, and we are stuck with their decisions.

THAT is why this matters.

Not the benchmark.

The balance of power.

5. How to try GLM-5.2 (the easy ways)

You do not need to install anything to test it.

• Easiest: open Z.ai’s chat at chat.z.ai and just talk to it like ChatGPT. You get a free tier, then it caps.

• Pay-as-you-go: through OpenRouter or the Z.ai API, it runs roughly $1 per million tokens of input and $3 to $4 per million of output, depending on the provider, and the price keeps dropping as hosts compete. For most people that’s a few dollars a month of real use.

• Flat monthly plan: Z.ai’s “GLM Coding Plan” starts at $18/month (Lite), $72/month (Pro), or $160/month (Max), and it plugs GLM-5.2 into coding tools like Cursor and Cline.

For 99% of you, the easy browser chat option #1 is all you need to form an opinion.

6. How to set it up on your computer (Mac vs Windows) (ADVANCED)

Skip this if you just want to use it. The browser chat above is the easy path. This section is for people who want it running on their own machine.

But first, let’s be real…

GLM-5.2 is a 750-BILLION-parameter model.

The full version needs roughly 250+ GB of memory to run.

A normal MacBook or Windows laptop CANNOT run the real thing.

There are only 2 reasons to bother putting it on your computer.

Reason 1: you want GLM-5.2 inside your OWN tools

Say you want it powering a code editor, an automation, or an app on your machine. You install one small program called Ollama, and then any tool on your computer can call GLM-5.2 the same way.

• On a Mac: go to ollama.com/download, download the Mac app, and open it. Then open the “Terminal” app and type ollama run glm-5.2:cloud. Sign in when it asks.

• On Windows: go to the same ollama.com/download page, run the Windows installer, then open “PowerShell” (search for it in the Start menu) and type ollama run glm-5.2:cloud. Sign in when prompted.

Now this trips people up: you’re still running GLM-5.2 on Ollama’s servers, NOT your machine. You get no privacy and no offline use out of this. The ONLY thing you’re buying is 1 local hookup that every app on your computer can point at. If you don’t need that, close this and just use the browser chat.

Reason 2: you want it 100% private and fully offline

THIS is the version that truly runs on your own hardware, where nothing you type ever leaves the room. It’s also the expensive one.

To run a shrunk-down (2-bit) version offline, you need about 240 GB of memory, which in practice means a maxed-out Mac Studio (256 GB) or a workstation with a serious graphics card plus 256 GB of system RAM. No normal computer comes close.

If that’s you, the simplest path is LM Studio (a free app for Mac and Windows): install it, search “GLM-5.2” in its model browser, pick a quantized version that fits your memory, and download it. Expect about 3-9 words per second on the best consumer machines. Slow AF, but it’s yours.

For everyone else, stick to the browser.

Recap

GLM-5.2 is not “the Claude killer” and anyone screaming that didn’t read the study.

What it IS: proof that the gap between the expensive AI you rent and the free AI you can own shrank from years to months.

That’s good for all of us, no matter which tools you use.

Cheaper AI. More choice. Less lock-in.

I still reach for Claude Code for my daily work.

But I’m watching the open models closely now, and you should too.

The big story isn’t “China beat Claude”

It’s that good AI is getting cheap and hard to lock up.

FAQ

Is GLM-5.2 free? The model weights are free under an MIT license if you download and run them yourself. Using it through a hosted service (the browser chat, an API, or a coding plan) costs money, though far less than the big closed models. There’s no permanent free unlimited API.

Can I run GLM-5.2 on my laptop? Not the full model. It needs around 250 GB of memory, which no normal laptop has. You can use it on any computer through Ollama’s glm-5.2:cloud option (which runs on Ollama’s cloud servers, not your machine) or the browser chat. True offline use needs a 256 GB Mac Studio or a heavy-duty workstation.

Is GLM-5.2 better than Claude or ChatGPT? On some coding and agent benchmarks it’s the best open model and competitive with the top closed ones. For everyday writing and content tasks, Claude, ChatGPT, and Gemini are still smoother for beginners. A benchmark win does not always match your day-to-day experience.

Did GLM-5.2 really beat Claude? On one security test from Semgrep, GLM-5.2 out-scored Claude Code running Opus 4.8, at about 1/6 the cost. But it was one task, one run, it did not beat Claude’s top Fable 5 model, and Semgrep’s own security tool still beat both. Read it as “a cheap open model matched an expensive one once,” not “Claude lost.”

What’s the cheapest way to use GLM-5.2? The browser chat at chat.z.ai to try it free, then pay-as-you-go through OpenRouter or Z.ai (a few dollars a month for most people) if you want it in your own tools.

Do I need to be technical to use it? No. The browser chat works like ChatGPT. You only need technical skills for the run-it-on-your-own-hardware path in Section 6, which most people should skip.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• REMINDER: I will never ask you for money. Never pay for “courses”, trading platforms, or investment opportunities. Those are all fake.

• The Most Important Scientific Revolution Has Already Started

• How to Be So Productive with Claude it Feels ILLEGAL

• How I used ChatGPT to erase my digital footprint

TLDR… here are 12 ways to make money with Claude in 2026, ranked from your fastest first dollar to the most scalable income: 1:1 coaching, corporate training, paid courses, AI strategy consulting, brand sponsorships, a paid community, paid speaking, then 4 agency models (social media, AEO, vibe code, AI automation), and finally vibe coding your own SaaS product.

The job market is slightly better, but still TERRIBLE.

An income you control is the only safety net left.

So I mapped 12 ways to make money with Claude, ranked from the fastest first dollar to the most scalable income, all on ONE chart.

I built an AI company and sold it for millions.

Now I’m approaching 3 million followers and teach millions of people how to use AI - for free.

If you’re thinking, “I’m not technical enough to make money with AI”… trust me, you don’t need to be.”

You need to understand the tradeoffs.

The pros and cons of each path.

I know that many of you reading this feel OVERWHELMED with INFORMATION OVERLOAD. So this is my best attempt to explain different ways to make money with AI… so you can make the right choice for yourself.

None of these are “easy passive income”… expect months and years of hard work.

But I gatekeep nothing!

This is the only playbook you need.

Full livestream here:

Who this is for:

People who want to seriously monetize AI in 2026.

NOT play with prompts.

But confused where to start, drowning in information.

Who this is NOT for: people who already run a profitable AI business and know exactly which lever to pull next.

First, the ONE chart that decides everything

Before the list, you need the map.

Every path lives somewhere on 2 axes.

Leverage (vertical): does this scale WITHOUT your time? High leverage means I could sell the same course to 1,000 more people and do zero extra work. Low leverage means you’re selling your 24 hours for dollars.

Time to First Dollar (horizontal): how fast does money hit your account? Services and consulting pay FAST. Building a brand or a product pays slow, but scales way bigger.

Fast money lives bottom-left (trade your time).

Scalable money lives top-right (build an asset).

So when you feel stuck thinking “why is this taking so long to make money?”… it’s because you picked a path on the slow right side without knowing it.

Fast money = trading your time.

Scalable money = building assets.

Agencies sit in the middle. Cold-outreach cash AND a process you can productize.

CAVEAT: the examples below walk through ONE example target buyer. Because I want to illustrate each income path with a clear example. But there are many possible target buyers or offer variations you can pursue.

1. 1:1 Coaching For Busy Professionals

This is the fastest cash of all 12. Lowest leverage too.

I could open any of my inboxes right now and find people who want to pay me for coaching.

• Buyer: Busy professionals. Tech, middle management, anyone employed full-time who can easily afford a couple hundred dollars and wants to become “AI native” for a promotion.

• Outcome: Build them 5 reusable skills in Claude that save 10 hours per week. A “skill” is just a saved set of instructions Claude runs on command, like a mini app you build in plain English. For total beginners, start simpler: set up their Claude with their bio and automate 1 weekly task like email triage.

• Distribution: Instagram, Facebook, LinkedIn. IG and FB are easiest because you set up DM automation and those audiences are used to spending money. I treat Instagram as the new LinkedIn of 2026.

• The catch: It’s your time. You have 24 hours a day like everyone else, and you’re trading them for dollars.

Coaching is the fastest way to your first dollar.

It’s also the hardest one to scale, because the product is YOU.

2. Corporate Training For Small-to-Mid Enterprise

Same idea as coaching, but you train a whole TEAM at once. That’s where the leverage kicks up.

• Buyer: Small-to-medium businesses. They have employees, which means they have money.

• Outcome: Train the team to save 15+ hours per week with tailored Claude skills. Train 10 people, save each 5 hours, and you just handed the company back 50 hours a week.

• Distribution: LinkedIn (where companies hang out), or go LOCAL. The SBA, local Facebook groups, chambers of commerce, Entrepreneurs’ Organization. Go hyper local and you’ll have ZERO competition. I live near Salt Lake City. Nobody here cares about AI. The good news? Zero competition.

• Why it sells: AI is being shoved down every company’s throat. Small businesses are panicking about falling behind. My take: don’t lay people off, upskill them. They already have the domain expertise.

Your curriculum stays about 70% the same across clients, 30% tailored. That reusable 70% is why this beats coaching on leverage.

3. Paid Courses

Now we jump to high leverage.

Sell the same course to 1,000 people, do no extra work.

Here’s an EXAMPLE topic for the course, including how I’d position the offer. But your course can be anything related to learning AI:

• Buyer: Content creators trying to figure out how to use AI (one example, this works for any niche).

• Outcome: Help them grow automatically on 2 more platforms and save 10 hours per week. Take the tedious stuff off their plate: research, hooks, scripts, clipping long videos into shorts.

• Distribution: Youtube, Instagram, Facebook. IG and FB give you comment-to-DM automations (“comment CLAUDE and I’ll send you the link”). YouTube is the gold standard for education… everyone says “I’ll go to YouTube to learn this.”

• The #1 way people fail: They spend 99% of their time perfecting the course and 1% on marketing. Then they launch and nobody buys. I see this same mistake over and over.

Honest confession: I’m not a great content creator. I build content SYSTEMS that make a lot of content, and a small percent of it is good.

The course is the easy part.

The marketing is the whole game. Flip that ratio.

4. AI Strategy Consulting

This is strategy only.

You don’t build anything. You find the money.

Similar to 3, you can target many types of businesses with this model. Here, I am talking through ONE example of a target buyer.

• Buyer: Local businesses (works for any business, really).

• Outcome: Go into the business, understand everything, and identify 3 to 5 places AI can make more revenue or save hours per week. For a multi-team operation, finding 100 hours a week of waste is not far-fetched.

• Distribution: Local Facebook groups, chambers of commerce, the SBA. Become known as THE AI person in your town and referrals flow. Even better, run local Facebook ads to a free AI workshop, host it, and collect referrals.

• The universal frame: Business owners care about 2 things. Making more money and saving time. The closer your offer sits to those, the more you charge.

The 2 leaks almost every business has: inbound leads that never get a callback, and customer support that never replies. Start there.

Business owners want the outcome.

They don’t care if you use AI, an alien, or voodoo.

5. Brand Sponsorships For AI Companies

Get paid to film a video. That’s the whole job.

• Buyer: AI and SaaS companies, especially recently funded ones with budgets set aside for influencers. Real example: a startup that just launched an MCP server (a connector that plugs their tool into Claude) and wants tutorials showing it off.

• Outcome: Film a video demoing their product. That’s it.

• Distribution: Build on YouTube. Brands reach out, or you cold email: “I’m a YouTuber, here’s my follower count and average views, I love your app, I’d love to feature it.” Then send a rate card with 3 options.

• The money: Sub 10K-subscriber on Youtube charges a few thousand dollars per video. Bigger channels charge $5,000 to $10,000+. And 99% of the time payment is NOT tied to performance. You get paid even if the video flops… which is most of the time. Terrible for sponsors like me, but that’s the current market.

New YouTubers are blowing up right now simply by talking about Claude. The search volume is enormous. Copy a viral topic and thumbnail, add your spin, and you’ll hit 10K subscribers fast. When I say “long,” I mean 3 months, not 3 years.

Claude raised billions at nearly a trillion-dollar valuation.

Startups are throwing money at any AI creator who can hold a camera.

Even if your camera’s blurry af like mine… you can get paid:

6. Paid Community

The math on this one is so good it’s hard to ignore: paid communities to learn AI.

Here’s an EXAMPLE target buyer:

• Buyer: People who’ve heard of Claude and want to go deeper. Segment them by demographic, tools, or skill level. My example: women who want to learn AI.

• Outcome: Weekly new skills, weekly trainings, Q&A, accountability, and peers at the same level.

• Distribution: YouTube, Facebook, Instagram, plus Substack. You can even build a profitable community right inside Substack… the playbook is to start free and gatekeep your best stuff. Skip paid ads unless you know what you’re doing, or you’ll burn thousands fast.

• The math: $50/month X 200 members is $10,000/month. RECURRING. There are 1,000+ people watching this livestream. You’re telling me you can’t find 200 who want to learn Claude?

Honest caveat: recurring revenue means recurring work. People expect fresh content or they churn. And with no audience, nobody joins an empty room.

I run a free community and it will NEVER be paid.

BUT the math on paid is so good, it’s an amazing way to start.

7. Paid Speaking For Non-Technical Companies

Lower leverage (it has to be YOU on stage), but you get some credibility.

• Buyer: Non-technical companies and organizations that gather lots of businesses, so you teach many members at once.

• Outcome: Anywhere from a hands-on Claude workshop (“let’s set up 3 skills today”) to a high-level “what is AI and why it matters” keynote.

• Distribution: LinkedIn plus any social presence. Grow a brand and you’ll get inbound DMs asking you to speak.

• The money: Pay ranges from a couple thousand to well above $20,000. And people who know nothing about you suddenly trust you because “wow, you spoke at that event.”

The honest downside: it’s slow to break in. Organizers want a shiny resume, and when a slot opens they pick from several candidates. Prep is heavy too. You’re in front of hundreds of people, so you can’t have random bugs in your slides.

Coaching: if Claude goes down, you reschedule.

Speaking: you’re live in front of 100s of people…

8. Social Media Agency For Online Businesses

The next 4 are all agency models you turbocharge with AI. Proven, profitable businesses you can now scale without a giant team.

First up, the social media agency. Every business needs help here. Hint: every single one.

• Buyer: Online business owners running a coaching program or paid community whose social presence is weak.

• Outcome: Turn 1 business idea into 30 days of posts using Claude. One monthly meeting, AI records the call, turns notes into 30 posts, and hooks into Canva for carousels.

• Distribution: Instagram DMs (genuinely reach out to owners whose IG is struggling), cold email (works great once you have case studies, lead with results), and local businesses.

• Medium leverage, fast cash: It’s a repeatable process you install in any business, and every business on earth needs marketing.

The honest catch: clients need babysitting. Onboarding, expectations, recurring tweaks. That’s what makes $100K/month harder than it looks.

Saying social media agencies are dead is just false.

Every business needs help with their content. Every single one.

9. AEO Agency For SaaS And Local Businesses

AEO is Answer Engine Optimization. Getting businesses to show up in Google AND AI search results. I’m literally a buyer here… I recently hired an AEO agency for Blotato.

• Buyer: SaaS businesses and local businesses. Two valid buyers.

• Outcome: Show up in the top 5 Google and AI search results. For SaaS, rank for specific keywords. For local, show up when someone searches “plumbers in Salt Lake City.” Google is still king for local.

• Distribution: LinkedIn shines. It’s easy to make a LinkedIn post go viral by claiming you have the AEO secrets. Cold email and content work too.

• The money: Agencies charge thousands per month for this. If it delivers $10,000 in ROI, why wouldn’t a business pay $9,000 for it? The math works.

Honest caveat: it’s harder than the social media agency. Non-technical people get lost by step 2, and results take longer to show. My spicy take: a lot of “AEO” is just SEO with a fresh name, and that’s fine. It’s still important.

Build a base set of Claude SEO skills.

Fine-tune a version per client, plug into WordPress or Webflow, repeat.

10. Vibe Code Agency For Non-Technical Founders

There’s an army of non-technical founders stuck at the last mile. They have an 80% app and can’t finish it.

• Buyer: Non-technical founders who built an MVP with AI but can’t handle auth, payments, security, or deployment. Also companies that want a fast, reliable MVP to test an idea.

• Outcome: Finish, fix, and launch their half-built app. You’re selling speed, reliability, and security. Speed matters most, because most startups die before they ship.

• Distribution: Join AI and Skool communities, find people stuck, and be GENUINELY helpful. Write the best 3-paragraph answer to their question and they’ll DM you “can I pay you to finish this?” This happens constantly.

• Higher leverage: It doesn’t have to be only you. Your team can handle fulfillment.

The honest truth: if you have zero technical background, this one is HARD. You need to learn deployment, databases, and Stripe first, and that takes real time. You’ll probably freak out every time you see an error message.

A founder who sweated 8 hours to get to 80% is desperate.

They just want someone to take it and finish it.

11. AI Automation Agency For Service Businesses

Easiest agency to land a first client. Also my lowest-leverage technical model. Both are true.

Let’s walk through the AI Automation Agency for one sample target buyer:

• Buyer: Service businesses. Established, with revenue and existing processes for sales, support, and hiring, so there’s a lot to improve.

• Outcome: Audit what they do today, then automate intake, follow-ups, reporting, and admin work to save time and make money.

• Distribution: Upwork is underrated. I posted a test job there and rising to the top was not hard, because most applicants don’t even read the post.

• Why it’s easy to start: Owners on Upwork decide fast. “We have this need, you seem credible, you’re hired.”

The honest reality: every business is messy. Tools don’t talk to each other, data is trapped in silos, and owners aren’t systems people. I’ve never seen 1 person run a $100K/month automation agency without a team. You’re expected to perform miracles.

Automation adds huge leverage to YOUR work.

But as an AGENCY business model, it’s surprisingly low leverage. Know that going in.

Phrased differently: you couldn’t pay me to start an AI Automation Agency today, because I have other better options.

12. Vibe Code Your Own Product

This is the one I actually do. The ONLY one I do.

Highest leverage, but longest road to your first dollar.

• Buyer: Whoever your product serves. Mine is Blotato, built for content creators.

• Outcome: A recurring-subscription SaaS. Blotato’s promise: create 1 week of content in 10 minutes. Your north star question: what’s the ONE thing a user should walk away with in their first 90 seconds?

• Distribution: TikTok shines. It’s the most generous with views and the highest chance of going viral. When a product goes viral on TikTok, you could bring in a million dollars overnight. Youtube tutorials are also great, FB/IG also great because of DM automations.

• The highest leverage there is: Adding another Blotato user takes zero extra work from me. No onboarding, no sales call, nothing. And if your SaaS product is at $1M/year in revenue, a buyer paying $5M to $20M for the company is reasonable.

But be honest with yourself. This is the HARDEST path and the longest to your first dollar. The brutal part of SaaS is getting to your first $10,000 in recurring monthly revenue. I don’t recommend this if you need money right now. Every other path is faster.

This is the path I do.

It’s the hardest, the slowest to pay, and the one almost nobody will stick with.

But I’ve done it before. I’m introverted and love not having sales calls, consulting clients, or a big team.

RECAP

Here’s the crazy part I saved for the end…

During my livestream, I ran live polls:

“Type 1 if you want my community, 2 for my course, 3 for coaching with me.” Hundreds of you responded.

Then I told you… I don’t do ANY of paths 1 through 11.

I just proved the demand is real, even for the things I’d never sell. So if YOU offer these, the demand is sitting right there.

Quick map of where everything lands:

1/ Fastest cash: 1:1 coaching. People make impulsive decisions, money hits fast. Low leverage.

2/ Best-of-both: the 4 agency models. Cold-outreach cash plus a process you can productize.

3/ Highest leverage, slowest road: courses, a paid community, and your own product. Build the asset, get paid for years.

4/ The one I do: vibe coding my own product. Few of you will stick with it, and that’s exactly why it’s worth so much.

Can you do multiple? Yes, and I encourage a little experimentation at the start. But experimenting means 6 months each, not a half-hearted part-time 2 weeks. Eventually, pick ONE. It’s hard to scale past $100K/month when you’re split across 5 things.

And if you have NO IDEA where to start, I always say posting content is the safest bet because it preserves ALL your options.

And don’t agonize over today’s choice. You can always change.

The whole point is to acquire skills and build optionality.

Pick the path you genuinely enjoy.

Because if you enjoy it, you stay consistent, and consistency is how you build something real.

Remember, think in YEARS-long timelines.

Full livestream here:

FAQ

Do I need to be technical to make money with Claude? No. Paths 1 through 9 are about helping people USE AI, not building software. Only the vibe code agency and your own product lean technical, and you can start non-technical and partner with a builder.

What’s the fastest way to my first dollar? 1:1 coaching. You can find a paying client in your existing network or DMs this week. The tradeoff is low leverage, since you’re trading your time for money.

Is a paid community worth it with only a few hundred members? Yes. 200 members at $50/month is $10,000/month recurring. You only need 200 people out of millions of AI learners, but expect ongoing work to keep them from churning.

Which path is the hardest? Vibe coding your own SaaS product. It’s the highest leverage but the longest road to your first dollar, and the hardest part is getting to your first $1,000 in recurring payments.

Should I run several income streams at once? Not at the start. Experiment with a few for 3 to 6 months each, then commit to ONE. Spreading across too many is why most people stall before $100K/month.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• You have full permission to repurpose all my education! Today’s newsletter contains thousands of dollars worth of training. It may take you hours to get through it, but it’s 1000% worth it. And it’s all yours for free.

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TLDR… loop engineering means designing the LOOP that runs an AI (do the work, check it, repeat) instead of typing each prompt yourself. In Claude Code, the /goal command gives the AI a goal it can check and stop on, and a routine makes it run on a schedule by itself. Put those 2 together and you’ve built your first autonomous agent.

You do NOT need to be a coder for any of this.

We’re connecting 3 ideas:

1. What “loop engineering” actually means

2. The Claude Code /goal command, with 1 example you can copy.

3. Build your first autonomous agent with a Claude Code routine.

Who this is for:

People who keep seeing “loop engineering” everywhere in 2026 and want to understand autonomous agents and build their first.

And you do NOT need a business or an audience for this. If you’ve got an inbox you’re drowning in or a report you dread every month, it’s for you.

Prerequisites

First, what’s Claude Code? It’s the hands-on version of Claude that works on your real files and tools, not just chats. It’s different from the Claude chat site you might already use.

Claude Code Setup Guide.

What you need before you start:

• A Claude account. The /goal command and routines are paid features, so a free account won’t show them.

• For Section 2 (/goal): the Claude Code app installed on your computer.

• For Section 3 (routine): just a browser, plus any tools you want it to use (like Gmail) connected first under Connectors.

Read it once.

Then follow the Cheatsheet below :)

If you prefer to follow along visually, here’s my raw livestream, it’s a bit messy.

1. What “Loop Engineering” Actually Means

Start with the word everyone got tired of: prompt engineering.

That’s writing 1 good message to an AI, one at a time.

You type. It answers. You read it. You type the next thing.

See the problem?

YOU are the loop!

You’re the one checking the work and deciding the next step, every single time.

Loop engineering is stepping out of that, and building a little system that does the prompting FOR you.

The clearest definition going around:

Loop engineering is building a system that prompts your AI on a schedule and against a goal, instead of you typing each prompt yourself.

Your job changes from doing every step to designing the machine that does the steps.

Where the word came from:

AI “loops” (do a step, check the result, do the next step) have been around for YEARS. I’d often append this to a complex prompt: “Don’t stop until…”

Peter Steinberger said the line that popularized it:

Addy Osmani gave it the name “loop engineering” in June 2026.

A loop has 6 parts:

1. Automations: a timer that starts the job on its own, so you don’t push a button.

2. Worktrees: separate work areas, so 2 AI helpers don’t trip over each other.

3. Skills: saved instructions that teach the AI how YOU do a task, so it stops guessing.

4. Connectors: plug-ins to the real tools you already use (Gmail, Slack, Blotato).

5. Sub-agents: 1 AI does the work, a DIFFERENT one checks it. No grading its own homework.

6. Memory: a notes file that lives outside the chat and remembers what’s done and what’s next.

Key Concepts

Every loop has a DOER (the AI that makes stuff) and a CHECKER (the part that decides if it’s good).

The AI was never the hard part.

The CHECKER is.

If you can’t say what “done” looks like, you don’t have a loop. You have a wish.

So the real skill is simple to say and hard to do: write the check.

Here’s the good part: all 6 are already built into Claude Code.

You don’t assemble them.

You just need to know how to switch them on.

For your FIRST loop, 2 do the heavy lifting: a goal the AI can check (/goal), and a timer to run it on its own (a routine).

So that’s where we start.

Cheatsheet 1

Write 1 sentence for a task you repeat every week.

Starts when: __________ (a time of day? an email arriving?)

Done looks like: __________ (email labeled or archived)

The check: __________ (how the AI PROVES it’s done)

Keep that sentence.

You’ll use it in steps 2 and 3.

2. The Claude Code /goal Command (ADVANCED)

Heads up: this one needs the Claude Code app on your computer, so it’s a notch more technical.

Claude Code Setup Guide.

New to all this? Skim it for the idea and jump to Section 3, the routine, which runs in just your browser.

/goal is the “goal it can check” piece.

You give Claude a finish line. It keeps working on its own until it crosses it.

After each round, a small fast AI checks: is the goal met, yes or no?

A “no” and Claude keeps going.

A “yes” and it stops on its own.

You need Claude Code version 2.1.139 or newer.

Now, open Claude Code in a terminal.

How you type it:

/goal <what “done” looks like>

Simple Example

Say your Downloads folder is a mess, hundreds of random files, and you want it sorted.

/goal sort every file in my Downloads folder into subfolders by type (Images, Documents, Videos, Other), keep going until no files are left, do not delete anything, and stop after 30 turns.

Claude moves one file, checks what’s left, moves the next, and repeats.

It stops on its OWN when the folder is sorted, not before.

3 things make this a GOOD finish line:

• A clear end state: “no loose left” (not “tidy it up”).

• A check it can run: count the files in the folder.

• A guardrail: “do not delete anything” and “stop after 30 turns.”

That last one matters.

Always cap the loop so it can’t run forever.

Intermediate Level Examples

1. Standardizing a messy folder of files until every name matches one format:

/goal rename every file in the “receipts” folder to

“receipt_NN.pdf” in date order, keep going until no file

still has its original name, do not delete or move

anything, and stop after 25 turns

End state it can verify: zero files left with old-style name.

2. Categorizing a spreadsheet until no row is missing a label:

/goal fill in the “Category” column for every row in

expenses.csv using Food, Travel, Bills, Shopping, or

Other, keep going until no row is blank, do not change

any other column, and stop after 30 turns

End state it can verify: zero blank cells in the Category column.

3. Working through a stack of documents until none are left (the “empty the queue” pattern):

/goal write a 5-line plain-English summary of every

PDF in the “reports” folder into summaries.md, keep

going until every PDF has a summary, do not edit the

PDFs, and stop after 40 turns

End state it can verify: every PDF has a matching summary.

4. Cleaning up a batch of captions until they all fit your rules (if you make content):

/goal rewrite every caption in captions.txt to under

150 characters with no hashtags, keep going until all of

them are done, do not touch any other file, and stop

after 30 turns

End state it can verify: zero captions over 150 characters or containing a hashtag.

5. Turning a list of rough ideas into hooks until the list is done:

/goal turn each of the 20 rough ideas in ideas.txt

into a hook under 10 words, keep going until all 20 are

done, do not change any other file, and stop after 30

turns

End state it can verify: all 20 ideas rewritten as hooks <10 words.

Cheatsheet 2

Turn your Cheatsheet 1 sentence into a real /goal finish line.

/goal __________ (what done looks like), checked by __________ (how it proves it), and stop after __________ turns.

Try it on something small first.

Watch it loop.

3. Build Your First Autonomous Agent With a Routine

/goal runs while YOU sit there.

A routine adds the timer, so the loop runs without you.

A timer plus a goal it can check equals a real loop.

Now you have both halves.

What a Claude Code Routine is:

A saved AI job that runs by itself on a schedule, in the cloud, even when your laptop is closed.

You set it up in your browser at claude.ai/code/routines.

No terminal needed.

Heads up: routines are a paid feature, so you need a paid Claude plan to see them.

Start here:

1. Go to claude.ai/code/routines

2. Click the “New routine” button.

3. Name it “Daily Email Cleanup”.

4. In the “Instructions” box, say plainly what it should do: “Every morning, read my unread email and post the 3 most important ones to my Slack DM Sabrina Ramonov, 1 line each. Do NOT reply to anything.”

5. “Connectors” lists the apps already linked to your Claude (like Gmail and Slack). Keep ONLY the ones it needs, and remove the rest. If the tool you want isn’t there, connect it first in Claude settings.

6. Under “Select a trigger”, choose “Daily”, then 9am.

7. Click the “Create” button.

That’s a real autonomous agent.

Every morning at 8am it runs your loop, leaving you a tidy summary.

Intermediate Level Examples

• Buried under 10,000 unread emails? “Sort my inbox, label what matters, and trash the junk.”

• Dreading that monthly report? “Every month, pull the numbers and write the first draft of my report.”

• Too much news to keep up with? “Every Monday, read the updates on [your topic] and hand me 1 short brief, so I stop scrolling.”

Pick the one that you resonate with.

Make your first routine.

Next Level

Here’s my real example of a customer support agent routine, “Daily Support Ticket Cleanup”:

• The Skill: in the “Instructions” box I write “Run the ‘cleanup-tickets’ skill on all open customer support tickets, using Intercom API.” That cleanup-tickets skill is my saved know-how, so it handles tickets MY way every time.

• The Repository: I have a github project called help.blotato.com which serves as the memory, or notepad.

• The Connectors: in the “Connectors” tab I turned on Intercom and Slack, so it reads real support tickets and posts updates to my real Slack channel.

• The Schedule: it runs every day at 8am on its own.

And here’s my CHECKER agent, which independently reviews the work of the primary agent closing the tickets.

If the checker decides an auto-closed support ticket should remain open for human escalation, then it will re-open it.

Next Level: Integrate Any Tool with API keys

Connectors only cover tools that already have a plug-in.

But a routine also lets you add your own secret keys as “environment variables.”

Translation: paste in the API key for ANY tool, and your AI agent routine can use that tool too.

For example, in the support cleanup routine above, I created an environment called “Support” and added my Intercom API token. This allows my agent to use the full Intercom API, not just the limited tool calls available in Intercom MCP.

A few things before you trust it:

• Start read-only. Have it SUMMARIZE for a few days before you let it change or send anything.

• Set the limits in plain words, like “do not reply” or “do not delete.”

• Routine runs use the same plan as your normal Claude, and there’s a daily limit in settings.

Cheatsheet 3

Ship 1 tiny routine this week.

Runs when: __________ (every morning? when an email arrives?)

What it does: __________

Tools it needs (connectors & API): __________

The 1 limit: __________ (“don’t reply”, “don’t delete”)

Start read-only.

Let it SUMMARIZE for a few days before you let it edit anything.

RECAP

All 3 pieces we’ve covered:

1. Loop engineering is the shift from typing prompts to designing the loop. Osmani’s definition has 6 parts: automations, worktrees, skills, connectors, sub-agents, and memory.

2. /goal is the “goal it can check” part. Claude works to a finish line and stops itself when it gets there.

3. A routine is the timer (plus the skill, the connectors, and your API keys). It runs the loop in the cloud without you. That’s your first autonomous agent.

The hard part is saying clearly what “done” looks like, and capping the loop so it can’t run away.

This is why my personal formula is always:

FAQ

What is loop engineering in simple terms?

It’s designing a small system that prompts an AI on a schedule and against a goal, instead of you typing each prompt. The loop is: do the work, check it, repeat until done. Your role moves from doing every step to designing the system.

Do I need to know how to code to do this?

No. The routine in step 3 is set up in your browser with plain instructions. Only the /goal command in step 2 needs the Claude Code app, so it’s marked ADVANCED.

What does the Claude Code /goal command do?

It gives the AI a finish line and keeps it working until that finish line is met. A small fast AI checks after each round whether it’s done. You need Claude Code version 2.1.139 or newer. Type /goal clear to stop early.

How do I build an autonomous agent in Claude Code?

Create a routine at claude.ai/code/routines. Write plain instructions, turn on the connectors it needs, pick a schedule, and click “Create”. It then runs on its own in the cloud.

Can a routine use tools that don’t have a connector?

Yes. Add that tool’s API key as an environment variable in the routine, and it can reach almost any online service. This part is more advanced.

Is it safe to let a routine run on its own?

Start read-only. Have it summarize for a few days, set plain limits like “do not reply” or “do not delete,” and watch the first few runs before you trust it with anything that sends or changes things.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

Important Announcements!

• How I Used AI to Grow From 0 to Nearly 3 Million Followers

• Free Claude Marketing Skills (the exact pack we set up below)

• Don’t miss 🎁 10-Day Free Trial Bonus

  • Start a free Blotato trial in the next 10 days (by June 27), get the 2 new skills set up for you

  • Top 100 Viral Hooks + Repurpose Engine (the skills below)

  • Start your free trial

You don’t need a content team.

You don’t need to pay $$$$ for some guru course.

I run ALL of my short-form and text-based social media content SOLO. Over 30+ million organic monthly views. I use a handful of free Claude skills, and 1 app to be everywhere.

Last week I added 2 NEW skills to the pack.

So today I’m handing you the FULL setup, step by step, like a worksheet you can follow in one sitting.

Follow along here:

By the end, you’ll have your own AI marketing team writing, viral grader, and automated post scheduler.

And if you don’t use Claude? I’ll show you how to run the exact same skills in ChatGPT or Gemini at the bottom.

Who this is for: business owners and creators who want to seriously automate social media content in 2026 and save 15+ hours per week, NOT play with toy prompts, but feel buried under 100 random AI tools and don’t know where to start.

Step 1: Connect Claude to Blotato

Here’s the wall every AI writing tool hits.

It writes you a nice draft… and then stops.

You’re STILL the one copy-pasting into 7 apps, resizing images, and scheduling each post by hand.

Blotato is the piece that actually publishes your post.

It’s the app I built to publish all of my content, and it’s native for AI agents, so Claude can drive it like your mini employee.

Here’s the setup, one time:

• Sign up at blotato.com.

• Open “Settings”, connect your social accounts.

• Open the “API” tab, click the “Generate API Key” button. This is what authenticates Blotato with Claude.

• In Claude, click “Customize” in the left sidebar, click “Connectors”, hit the “+” button, click “Add Custom Connector”.

• Name it “Blotato”, paste “https://mcp.blotato.com/mcp” into the URL field, click “Add”, then click “Connect”.

That’s it.

One click authenticates your accounts.

To confirm it worked, type this prompt:

What social media accounts do I have?

If Claude lists your connected accounts, you’re done with setup.

Walk away with: Claude can now manage all your social accounts.

Step 2: Install the 7 Free Skills (The Worksheet)

This is the only slightly tedious step, and it’s a one-time thing.

A “skill” is just a set of instructions that teaches Claude one job really well.

Grab the full pack here (free): help.blotato.com/claude-skills

Do NOT go download a repository of 100 content skills. Most of it is AI slop, built for someone else’s business, and you won’t know how to use any of it.

This pack is the opposite. It’s everything I know about going viral, condensed into the few core skills you actually need to get results.

Install them in THIS order (each one builds on the last):

1. brand-brief

2. content-coach

3. post-writer

4. post-grader

5. post-scheduler

6. viral-hooks

7. repurpose

Install viral-hooks BEFORE repurpose. Repurpose calls it to open every post.

HOW TO INSTALL IN CLAUDE COWORK

• Click “Customize” in the left sidebar, click “Skills”.

• Click the “+” button, click “Create skill”, choose “Write skill instructions”.

• Open the skill’s page on the Blotato site, hover the SKILL.md block, click “Copy”.

• Paste it into the “Instructions” field, then name the skill (e.g. content-coach) and paste its description.

• Repeat for all 7.

HOW TO INSTALL IN CLAUDE CODE

Using Claude Code instead? Skip the UI. Just drop each SKILL.md into a folder at ~/.claude/skills/[skill-name]/ and restart Claude.

Here’s what each skill does, and the plain-English phrase that triggers it:

• content-coach … “I don’t know what to post.” The front door. It orchestrates all the others for you.

• brand-brief … “Set up my brand brief.” A one-time interview that captures your business, customer, offer, and voice.

• post-writer … “Write me a LinkedIn post about X.” Produces a graded, polished post.

• post-grader … “Is this post any good?” Scores your draft and lists the top 3 fixes.

• post-scheduler … “Schedule this to LinkedIn.” Ships the post through Blotato.

• viral-hooks … “Give me a hook for this.” A library of 100 proven hook frameworks.

• repurpose … “Turn this video into a week of content.” 1 long piece becomes many posts.

You don’t have to memorize any of this.

Type “/” to see your skills, or just talk to Claude normally. The descriptions tell Claude when to use each skill on its own.

On your first run, you’ll be interviewed to teach Claude how you talk, so every post after it sounds like YOU, not a bot.

Walk away with: 7 skills installed, and a brand brief that makes every future post sound like you.

Step 3: Write, Grade, and Schedule Your First Post

Here’s the exact use case from my tutorial. I have a folder of random analytics screenshots sitting in Downloads, and I want a post out of them.

Analyze my screenshots in Downloads and write a tweet.

Claude reads all 6 screenshots, finds the angle, and drafts the tweet with the right screenshot attached.

Then it grades its own work. My first draft scored a 6.3 out of 10, and honestly? It was right. The hook was weak.

The grader audited it against my rules (no em dashes, all numbers as digits, no filler words), suggested the top 3 fixes, and regraded.

The final post:

“I was wrong about Facebook, embarrassingly wrong. 12 million views in 28 days, it beat TikTok, YouTube, and Instagram.”

Way better hook!!

Now ship it:

Schedule this to Twitter with the best screenshot.

Want it everywhere? One more line:

Crosspost this to Facebook and LinkedIn.

Same post, formatted for each platform, scheduled, done.

Walk away with: your first graded post, live on 3 platforms, written from photos you already had lying around.

2 New Skills: Turn 1 Idea Into a Week of Content

The 5 skills above take you from blank page to 1 scheduled post.

The 2 skill I added this week take you from 1 idea to a full WEEK of posts. I call this the “Creator Multiplier”.

viral-hooks is a library of 100 proven hook frameworks.

The hook is 50% of whether a post performs. This skill makes sure no post goes out with a weak opening line.

You can call it on its own any time a draft feels flat:

Give me 5 hooks for this post.

repurpose is the one that saves so much time.

Realizing I don’t have to make brand-new content every single day was a big relief. Drop in 1 long piece, and get back many posts:

Turn this YouTube video into a week of content.

It produces 3 Linkedin posts, 5 X threads, and 2 short-form video scripts. Then it auto-grades each one with post-grader, so nothing weak slips through.

1 video in.

A full week of graded, ready-to-schedule posts out.

That’s how you stay consistent without burning out.

AI handles the repurposing and reformatting.

You stay focused on the original idea and your unique perspective, which is your special sauce.

No Claude? Paste These into ChatGPT or Gemini

Now for my favorite part.

A skill is just a SKILL.md file. Which is just a markdown text file. Which is just a really good prompt.

So you are NOT locked into Claude.

Copy the text of any skill and paste it in as:

• a Custom GPT or a Project in ChatGPT

• a Skill in OpenAI Codex

• a Gem in Gemini

• the system instructions in any other AI tool

The writing, the hooks, and the grading travel ANYWHERE. They’re plain prompts.

Scheduling to every platform, generating the visuals, cross-posting, transforming a video into a carousel… that still runs through Blotato, no matter which AI you point at it.

The prompts are the brain.

Blotato is the hands that actually publish.

RECAP

Here’s your worksheet, start to finish:

1. Connect Claude to Blotato (sign up, make API key, add connector).

2. Install the 7 free Claude marketing skills

3. Write, grade, and schedule your first post from photos you already have.

4. Add viral-hooks and repurpose engine skills to turn 1 idea into a week of posts.

5. No Claude? Paste the same skills into ChatGPT or Gemini.

This is what a million-dollar AI marketing team actually looks like when you’re solo.

Don’t miss 🎁 Your 10-Day Free Trial Bonus

Everything above is free.

You can copy all 7 skills yourself, right now.

But if you’d rather skip the setup, here’s the shortcut.

Start a free Blotato trial in the next 10 days (by June 27), and I’ll hand you the 2 new skills ready to run:

• Top 100 Viral Hooks … full hook library that opens every post

• Repurpose Engine … 1 long video becomes a week of posts

Start your free Blotato trial and grab both skills

FAQ

Are the Claude skills free?

Yes. The full content creator pack is free to copy and use. Grab it at help.blotato.com/claude-skills.

Do I need to know how to code?

No. Claude Cowork runs in the desktop app with zero terminal. You paste the skills into the UI and talk to Claude in plain English.

Which skill do I install first?

Follow along the Youtube tutorial or if you’re using Claude Code, Codex, or Hermes, you can just point your AI Agent at the skill pack and it will clone it

Can I use these skills without Claude?

Yes. Each skill is a plain markdown prompt, so you can paste it into a ChatGPT Custom GPT, Gemini Gem, Codex Skill, etc. The writing and grading work anywhere. The scheduling, visuals, and crossposting run through Blotato.

What does Blotato actually do here?

It’s the engine that ships the posts. Connect your social accounts once, then Claude uses Blotato to generate visuals, schedule, and crosspost to every platform from within Claude.

Why does my first post score low?

Usually a weak hook. Run post-grader (or viral-hooks), apply the top 3 fixes it lists, and regrade. My own first draft scored 6.3 out of 10 before fixes.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• If I Wanted to Become an AI Millionaire in 2026, This Is What I’d Do (FULL BLUEPRINT)

• 3 Ideas for a 1-Person AI Business ($0 to $1M)

• Grab my 5 Free Claude Skills for Marketing

TLDR… if I started from zero in 2026, here’s the exact order I’d do things: get paid to learn AI through consulting, turn that experience into a personal brand by posting daily, then explore multiple monetization paths, and ultimately commit to ONE.

If you’ve tried to build income with AI and nothing stuck, you didn’t pick the wrong idea.

You started in the wrong PHASE.

Most people start with the LAST step, then wonder why nobody’s buying and nobody’s showing up.

I recently interviewed a mom with a full-time job and 3 kids who built multiple income streams to nearly $50,000 per month.

No technical background.

Zero prior experience with AI.

She didn’t have a better idea than you. She had a better SEQUENCE.

So I made 2 videos breaking down exactly what I’d do if I were starting from zero today, and I’m combining both into one playbook right here.

The first half is the sequence (the HOW and in what ORDER).

The second half contains 3 specific business ideas I’d strongly consider starting (the WHAT).

Watch the full thing here: the blueprint + 3 business ideas.

Who this is NOT for: people who already have an AI-native business pulling consistent revenue. You can skip ahead, though the sequence part might still reframe how you grow.

The Sequence Is The Whole Game

There are 4 phases. Almost everyone runs them in the wrong order.

Phase 1 is EARN. Get paid fast while you learn AI.

Phase 2 is BUILD. Turn what you learn into a personal brand.

Phase 3 is EXPAND. Experiment with different ways to make money.

Phase 4 is COMMIT. Kill everything else and go all in on ONE.

You can run Phase 1 and Phase 2 at almost the same time.

BUT…

Here’s the mistake everyone makes: they jump STRAIGHT to Phase 3. And they camp there FOREVER. They try 5 different income streams at once, none of them making money, and they’ve done zero foundational work.

It’s cool to brag you’re a “serial entrepreneur” but bro ur not.

Picking the WRONG path, running TOO MANY paths at once, OR never committing to ONE is why most people fail.

You don’t want to start with 5 AI income streams generating $0.

You want ONE income stream generating money, paying you to learn AI in the process.

Phase 1: Get Paid To Learn (Consulting)

If you’re brand new with zero AI background, I almost always say start with consulting.

Here’s why consulting beats everything else when you’re just starting out:

• Fast cash. You get paid this week, not in a year.

• Real business skills. Sales, marketing, setting expectations, actually delivering. These skills set you up for LIFE.

• You get paid to LEARN. This is the cheat code.

How much more productive would you be if you knew you’d get paid $3,000 next week for learning ONE thing with AI?

Most people would be 10x more productive with that pressure.

That’s the difference between an active learner and a passive one.

A passive person watches my videos and nods along.

Feels good.

Checkbox.

An active person takes a video, applies it to a REAL problem someone is paying them to solve, and learns 10x faster because money is on the line.

It’s not really about the money at all; it’s about you learning actively, faster, in real-world settings with something at stake.

Where to find your first clients:

• Your warm network. Family, friends, past coworkers, businesses you’ve worked with. Tap your warm market; seriously, you NEVER know. Post on Linkedin what you’re up to. Text people!

• Upwork. Business owners post problems there every single day.

On Upwork, look for a specific problem a business wants solved, then offer to solve it. Content automation. AEO or SEO. Data, ops, admin. Apply to a bunch.

And honestly??? The bar on Upwork is shockingly LOW!

If you apply within 3 hours of a job post going live, write in proper English, and sound like a HUMAN who actually cares about the business problem, you instantly rise above the noise.

For your first 5 clients, apply to at least 50 Upwork jobs in ONE niche. But make sure you’re one of the FIRST to apply because speed is everything.

When you land your first contract, THAT’S when you go binge-watch everything on that exact topic and deliver your best work.

I know this feels backwards….

“Why am I applying to jobs I’m not an expert in yet?”

From a business owner’s seat, I genuinely don’t care about your credentials. I care that you get it done, you communicate, and you don’t ghost me. That’s how low the bar is. Scary frickin’ low.

And the worst case is not scary at all.

If you really can’t deliver, you tell the client: “I got in over my head, I’m sorry, you don’t owe me anything.” Most owners RESPECT that level of transparency way more than ghosting or shipping garbage at a premium price.

You leave every project with real feedback and a case study.

Walk away with: fast cash, your first case studies, and AI skills you actually learned by DOING, not just watching.

EDIT: for the sake of clarity, I want to emphasize that your goal is NOT to ripoff unknowing business owners. Your goal is to land a small entry-level opportunity, work your butt off binging content and working hard to deliver, then be 100% transparent with the client sharing your work. If you got in way over your head, always have integrity and simply admit you got in way over your head; don’t take their money. If you need more time, explain to the client what you’ve accomplished so far and what you need more time to try next. Don’t ghost people, always over-communicate way more than you think, and never never never underdeliver. Your goal (with anything in business) is always to OVER-deliver relative to your price.

EDIT 2: I’ve been on Upwork as both a freelancer and as a business hiring. I’ve made $ thousands on Upwork as a freelancer. And I’ve paid $ thousands to freelancers as a business. I know Upwork well. I’m not talking about it in fluffy theory :) Speed responding, clear over-communication, and your persistent drive to learn & solve unexpected problems are the most important things. BUT I’d always start warm if you can - friends, family, ex colleagues - because you never know who might be interested in AI too.

Phase 2: Build Your Personal Brand

Now you take everything you’re learning in consulting and you make content out of it.

This is the step most people want to skip.

If you asked me how I’d become a millionaire in 2026, I would NOT skip it.

Consulting brings money in fast, then plateaus. It’s hard to scale consulting above $500k per year.

A personal brand is slow at first… then it compounds exponentially.

Content has an unlimited shelf life. I have videos from 1 year ago that people are STILL watching and STILL reaching out about.

My business revenue grew nearly 1% while on vacation with no sales/marketing team simply because my content is still working while I’m (failing at) dancing in Vegas. IYKYK :)

Building a brand is dumb simple: post what you’re learning, what you’re struggling with, the tools that are actually helping, what you delivered for clients. Do NOT try to fake expertise or lead with fake claims, just be real. Share who you are, what you’re doing, what you’ve learned, what you’re confused about, yap yap.

Take the general lessons from real client work and turn them into a repeatable framework you can teach.

Publish at least 3 pieces of content per day.

CONSISTENCY over a long period beats frequency. ALWAYS.

It’s a marathon, not a sprint.

The reason this works so well is you’re not talking about AI topics you’ve never touched. I call this “gossip”.

You’re talking about REAL work you did, for REAL businesses, with REAL results. That’s the difference between you and every other shallow AI creator.

Walk away with: an audience that trusts you, built entirely from work you were already getting paid to do.

Phase 3: Expand (Experiment With Multiple Paths)

Once you have a brand, the road forks. There are at least 10 ways to monetize. I have a video dropping next week literally listing TWELVE ways to make money with Claude, and that’s not exhaustive… there’s more ways than that.

However, this phase is about TRYING them out, not committing yet. Here are the 3 I’d suggest but there are many:

Path 1: Paid sponsorships. AI startups are flush with cash and will pay creators to promote their tools. A reel might be $1,200. A dedicated video might be $3,000. A YouTube video with a big following can cost $15,000+. Prices are all over the place.

Path 2: A paid community. I love the recurring revenue. 200 members at $50/month (the LOW end for AI communities) is $10,000/month recurring. For most people that replaces a full-time income, and you only need 200 people out of the many millions trying to learn AI.

Path 3: A vibe-coded product. This is what I personally do. Hard if you’re non-technical, but having a personal brand lets you bootstrap the first $0 to $10k MRR fast, then use that customer flow to make the product better.

Here’s the key thing: experiment with several EARLY.

…because you might think you want Path 1, then realize you hate making videos for brands, and you actually love Path 2. You only learn that by TRYING.

So what else could you test?

Let me share a few ideas.

Here are 3 one-person AI businesses I find genuinely exciting right now.

These are SUGGESTIONS to get your wheels turning, NOT a menu you have to order from. There are dozens of other plays. Pick these, remix them, or use them to spark your own.

But all 3 ride the same insight: the deployment gap.

Companies are buying AI tools at record speed, but they have NO idea how to use them!!! You’d be surprised but people can barely INSTALL them.

When technology improves faster than humans can keep up, the people who bridge that gap get paid.

Business 1: Microsoft Copilot Training

I’m guessing you expected me to say Claude.

Claude IS hot, and it’s coming up in Business 2.

But Copilot is the one nobody’s serving, and the numbers are wild.

• 20 million+ paid Microsoft Copilot seats.

• 90%+ of the Fortune 500 use it.

• Only about 35.8% of people with access actually use it (vs 83% for ChatGPT).

Do the math. 35.8% of 20 million is roughly 7 million people actually using Copilot.

So 13 million+ people are PAYING for a tool they barely touch. And the 7 million who use it are using maybe 10% of what it can do.

(Source: Recon Analytics, whose survey of 150,000+ workers found only 35.8% of people with Copilot access actually use it, vs 83% for ChatGPT. The seat counts come from Microsoft’s own earnings.)

THAT gap is the business.

I get DMs constantly: “Can I do this in Copilot?” “I’m stuck on Copilot at work, how do I do the stuff you showed for Claude?”

Companies are stuck on Copilot whether they like it or not. For IT reasons, governance reasons, security reasons, vendor lock-in reasons, compliance reasons, whatever. They’re stuck.

They can’t just install shiny new tools.

Yet… they have real money.

Here’s what people are already charging for this.

That’s a standard rate of about $15,000 for a one-day workshop. I have no affiliation with them, I just found it.

Here’s another, listed on the official Microsoft Marketplace.

An 8-hour Copilot workshop STARTING at $5,000.

There are companies doing this, but NOWHERE near enough given how many millions are stuck on Copilot. Everybody’s chasing Claude, so this stays underserved.

Just because everyone WANTS to learn Claude doesn’t mean their company will let them install it.

Action plan: if you have any Copilot experience, start here. I just dropped a 2-hour Copilot course on my channel with Sharee Brockington, who has trained 60,000+ people on Copilot.

She walks through the Copilot homepage, plus Copilot inside Excel, Word, and PowerPoint. Binge it.

20 million people paid for Copilot.

Only 7 million actually use it.

You get paid to close that gap.

Business 2: Paid AI Community

This model is already proven. We’re not inventing a startup.

A community gives members courses, weekly calls or Q&A, and other awesome people to learn with. And the best part: recurring monthly revenue, so you’re not fighting for every dollar every month.

We take that proven model and add AI to it.

There are 2 distinct ways:

• Teach AI. The community itself is about AI.

• Use AI. The community is about ANYTHING, and you use AI to create content, moderate, market, and test lead magnets.

Why is this such a moment?

Take Claude.

Anthropic grew annualized revenue 80x in just Q1 2026.

That’s supply versus demand at work. 80x more people are suddenly asking: how do I use Claude on a team? In an enterprise? For real estate? For CFOs? For HR? For compliance? For a team of 300?

That demand already exists.

The supply (people actually teaching it for specific niches and business use cases) is relatively low.

The way I’d find my angle is by picking segments, examples:

• Demographic. (e.g. my free skool community is for women in AI)

• Technical ability. Total beginners to developers, it’s a spectrum. Where do you sit?

• Skill. Content creation. Generating videos with Claude. A specific tool.

• Industry. How to use AI for real estate, specifically, to close more leads.

• Income goal. Or building startups and products, like the different flavors of vibe coding (mobile, web, B2B).

You don’t pick ALL of them.

You combine 1-2 to make your community unique.

Remember, 200 people paying $50/month is $10,000 per month. Enough to replace MOST people’s fulltime income… AND you can keep growing.

Action:

Go to ChatGPT or Claude right now and run this prompt…

What AI education niche fits my skills?

Ask me clarifying questions first, in case you don’t know enough about me.

That last line is my favorite trick. It forces the AI to interview YOU before it guesses.

So many people are switching to new AI tools that demand is exploding.

The teaching supply hasn’t caught up.

Pick a niche nobody’s serving.

Business 3: Vibe-Coding Agency

It’s almost the same as a software-development agency, except you heavily use vibe-coding tools and you’re transparent about it. Clients KNOW you use AI to deliver faster and better.

Compare the old way to the new way.

Old way: an MVP takes 3 to 6 months and costs $5,000 to $60,000. You pour in $10k, hire freelancers, wait 4 months, and by the end it barely works. You launch to 10 people, they don’t love it, and now you’re tired, out of energy, out of $10k, and chasing the next shiny thing.

I’ve seen that movie more times than I can count.

New way: compress that cycle to 1 to 3 weeks, depending on complexity and your technical ability. Your tooling cost is more like $1,000 in credits. And because you didn’t burn 4 months building version one, you still have ENERGY left to take it to market, get feedback, and keep going.

With vibe coding you can ship in weeks what used to take months.

Now you might ask: “If clients can vibe code it themselves, why would they pay an agency?”

Because clients don’t pay for the product. They pay for 3 things.

• Speed. I’m a business owner. I’ll make a $5,000 decision in 15 seconds if the ROI math is clear and likely to be positive.

• Clarity. I want a fast yes-or-no on whether my idea works, so I don’t waste 3 months finding out.

• Reliability. I need it done WITHOUT leaking my customer data or putting my brand at risk.

A vibe-coding agency has more structure and usually a small team: someone on UI/UX and prototyping, someone building a secure backend, maybe someone handling the launch (startup directories and social media).

Clients have 3 choices: build it themselves, hire a freelancer, or hire an agency with a track record.

There’s a real market for all 3.

And here’s the kicker for YOU: because vibe coding makes you so efficient, you can take on MORE clients without slashing prices. Speed, clarity, and reliability are PREMIUM. People expect to pay premium for them.

Old way: 4 months, $10k, you’re exhausted, it barely works.

New way: a few weeks, ~$1k in credits, energy to win.

Phase 4: Commit To ONE

Those are just 3 ideas to spark your thinking.

Whatever you end up testing, this last move is the most important of all.

After you’ve experimented for a bit, you KILL everything else and go all in on ONE.

You can still make money diversifying across multiple streams.

But you’ll make FAR more if you focus on one.

I personally picked vibe coding a product because I’m introverted, I hate meetings, I like the elastic upside (revenue multiples), and I’ve done it before (previously sold tech startup). But it’s one of the harder monetization paths, as I’ll discuss next week.

People ask why I don’t ALSO run courses and communities and sponsorships. I could easily add $100k-200k/month.

But I want to focus on ONE thing. Deep focus in one area compounds: reputation, expertise, and gains all stack over time.

This doesn’t mean I NEVER do other things. Since I have no investors and nobody to report to, I still enjoy minor goals like growing my Youtube channel, reaching 1M on Instagram before my birthday, learning how to mountain bike, and lots of vacation.

But they’re minor - I spend 70%+ of my time on my startup.

p.s. if I had investors, that number would be 150%, my personal life would be up in flames, and I’d be shamed for dancing :D

Sequence beats idea.

Experiment to find your ONE.

Then commit.

RECAP

You didn’t fail because of your idea. Tons of ideas can work.

You failed because of the SEQUENCE.

You’re probably starting at Step 3, instead of 1 or 2.

Here’s the formula:

Your AI income = a real gap you bridge x audience that trusts you

1. EARN. Get paid to learn AI through consulting. Apply to 20 Upwork jobs in one niche, land one, binge-learn, deliver.

2. BUILD. Turn that real client work into daily content and a personal brand. This makes every step after it easier.

3. EXPAND. Experiment with several monetization options: Copilot training, a paid AI community, a vibe-coding agency, sponsorships, and more.

4. COMMIT. Once you know what fits you, kill everything else and go all in on ONE.

All 3 business ideas I shared ride the same wave: companies adopt AI faster than humans can keep up, and you get paid to close that deployment gap.

It still takes real work.

There’s no instant easy path.

But these gaps are HUGE and barely served right now.

FAQ

Do I need a technical background to start an AI business? No. Start with consulting or Copilot training, both of which are about helping people USE tools, not building them. A vibe-coding agency leans more technical, but you can start non-technical and partner with a builder.

Where do I get my first AI clients with no experience? Your warm network first (family, friends, past coworkers), then Upwork. Apply to at least 20 jobs in ONE niche, write like a real human who cares about the problem, and you’ll beat most applicants.

How much can you charge for Microsoft Copilot training? Real examples run from about $5,000 for an 8-hour workshop (listed on the Microsoft Marketplace) up to roughly $15,000 for a one-day corporate workshop.

Is a paid community worth it with just a few hundred members? Yes. 200 members at $50/month is $10,000/month recurring, which replaces a full-time income for most people. You only need 200 out of millions of AI learners.

Why would anyone pay a vibe-coding agency instead of building it themselves? They’re paying for speed, clarity, and reliability, getting a working MVP in weeks without risking their data or reputation. That’s worth a premium to a busy business owner.

Should I run multiple income streams at once? Not at the start. Trying 5 things at once with no audience is the #1 reason people stall. Try a few briefly, then go all in on ONE.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• I’m hosting a small lunch in Las Vegas this Sunday June 7th, max 5 more people, hit reply or DM me on Linkedin 👋

• Join women making $30k+ per month with AI (free)

• How to Use AI in Your Business in 2026

The people getting rich from AI right now are NOT the smartest.

They’re the ones with better foundational skills.

You don’t need to be technical.

You don’t need to build a product.

But you DO need to augment yourself AND your team… use AI to become 10x more valuable, not to replace yourself.

AI agents are here NOW. Not coming. Here.

1 person can do the work of an entire team.

But the window is closing.

So here are the 9 skills to win with AI, starting with the ONE skill most people skip.

Follow along with the full video here:

Who this is for:

People who want to monetize AI in 2026, NOT play around.

You’re not technical, you don’t want to build a product, and you’re drowning in AI content with no idea where to start.

1. Make “Ask AI First” Your Default Reaction

Something breaks. You’re stuck.

What do you do?

Most people Google it. Or text a friend. Or sit there frustrated.

Or pay $$$$ for some guru.

The skill is boring and almost nobody does it: ask AI FIRST.

Before Google. Before texting anyone. Before feeling stuck.

I see it every day. People drop a question in my comments… a question Claude would’ve answered in 30 seconds.

This sounds dumb simple. It IS. That’s exactly why it’s a skill. It’s a HABIT you have to build, not a tool you have to learn.

Action: Open Claude right now. Type the last thing you asked someone else.

2. Skepticism

Using AI every day means NOTHING if you trust everything it says.

AI hallucinates. Confidently. It makes things up and says them with a straight face.

A lawyer learned this the expensive way. The lawyer cited 3 court cases from ChatGPT in a real legal filing. All 3 were fabricated… big trouble.

That’s a career-ending mistake from skipping ONE step: verification.

The skill is simple. Verify everything AI tells you BEFORE you act on it. Especially numbers, names, citations, and anything you’d be embarrassed to get wrong.

Action: Open your last AI chat. Find 1 stat or claim. Verify it in a new tab right now.

Skepticism also applies to everything you read AI online… be ESPECIALLY SKEPTICAL of AI influencers who wear red sweaters:

3. Context Is the Skill

You’re using AI and verifying it. Now here’s the ONE thing that makes every single output better.

Context.

The quality of what AI gives you is directly correlated to the quality of the context you give it. Not quantity of context, but QUALITY of context.

“Write me a plan” = 3 vague bullets.

Garbage in, garbage out.

But add your goal, your audience, your constraints, your numbers… now you get a real strategy you can actually run.

Here’s the prompt to use when you’re stuck and don’t even know what context to give. Run this:

I want to [your goal].

What do you need from me to give your best answer?

Let AI tell you what it needs. Then feed it back. The output quality skyrockets to a different level. UNLOCKED.

Walk away with: A repeatable way to turn vague prompts into precise, usable output.

4. Augment Your Experts, Don’t Skip Them

This is where most people get AI completely wrong.

They think AI REPLACES the expert. So they fire the accountant, skip the lawyer, and ask ChatGPT for tax advice.

That’s how you make expensive mistakes.

The real move - use AI to walk in PREPARED.

This is my personal formula:

AI LEVERAGE = YOUR SKILL x YOUR CLARITY

If you don’t know ANYTHING about finances or numbers, please don’t try to replace your accountant/CFO/CPA. The leverage you will get is infinitesimal.

Instead, use AI to help you get educated. Explain basic concepts. Prep 5 questions for your exact situation.

That’s the difference.

AI gets you 75% of the way to asking smarter questions. The expert closes the remaining 25% that actually matters for YOUR situation.

Action: Paste this before your next high-ticket appointment:

I’m meeting my [accountant / lawyer / doctor] this month.

What are 5 concepts I should understand and give me 5 specific questions to ask based on my situation: [describe it].

5. Treat AI Like a New Hire

AI doesn’t know your business on day 1.

Stop expecting genius from a coworker who started 5 minutes ago and knows nothing about you.

You train a new hire over MONTHS. This “onboarding” period is baked into all proper hiring plans.

Same with AI!

Day 1, it’s empty. Day 30, it’s filling in. Day 90, it’s trained and runs without you spelling out every detail (most of the time).

I fed Claude my brand voice, my goals, my past content, my corrections. By month 3, it runs a huge chunk of my content pipeline without me re-explaining myself every time.

But this took TIME to refine.

Continuous feedback.

Everytime I sit down to make content, I improve the system (i.e. give feedback) even just a little bit.

The compounding is the whole point.

Most people quit on day 2 because the day-1 output was “mehhh.” That’s like firing an employee after their 1st hour. Completely unreasonable expectations.

Action: Try this prompt…

My tone is [X]. My audience is [Y]. My #1 goal is [Z].

Interview me until you’re 95% confident you can produce the high-quality outputs I want.

6. Build a Continuously Improving Feedback Loop

Here’s what makes the “new hire” compound…

At the END of every session, ask AI to critique itself.

Most people never do this. They get an okay answer, close the tab, and start from scratch tomorrow.

Instead, run this at the end:

Reflect on our chat.

Update our skills to better reflect my preferences.

Save the answer. Do this for 30 days and you’ve built a personal prompt guide… from your OWN real sessions, not some generic template you downloaded.

(confession: as much as I love sharing huge library compilations, they’re not that useful, much more effective to build your own skills from scratch, starting tiny, then building up w/ feedback)

The loop is: chat, reflect, improve, repeat.

Each cycle makes the next sharper.

7. Documentation

This one is as old as sand, but AI made it 10x more valuable.

Every process you repeat more than 3X needs to be written down.

Onboarding. Content batching. Invoices. Whatever you do on autopilot every week.

Why? Because a written playbook is the context AI needs to do the PROCESS for you.

I take a process that used to eat 4 hours, write down the steps once, feed it to Claude, and now it runs in about 30 minutes.

(to clarify: that’s the ideal scenario, it’s a little messier IRL)

The doc is what does the heavy lifting.

Without it, you re-explain the same task every single time.

With it, AI runs the playbook with higher reliability.

Action: Pick 1 thing you do manually every week. Write down the steps. Then feed it to Claude:

Turn this into a reusable skill I can run every week.

Walk away with: One repeating task cut from hours to minutes.

8. AI Agents + Tools

You’ve built the system…

Now stop CHATTING with AI and let it actually DO things.

This is the shift from AI yapper chat to AI agent.

A chatbot gives you advice. An agent connects to your tools and takes action.

In Claude, this lives under Connectors (MCP). Connect your Gmail, and Claude can read threads, draft replies, and flag what needs your attention… in your REAL inbox, not a copy you paste in.

I know the internet promises AI will “run your whole business while you sleep.”

99% of the time that’s a clickbait hook to grab your attention for 3 seconds because you were just watching cat videos.

But this part is real, and it’s here today.

Start tiny. One connector. One real task. Seriously.

Action: Go to Claude.ai. Click the “Customize” menu, open “Connectors,” connect “Gmail,” then run 1 real task like “summarize my unread threads and flag anything urgent.”

9. Stop Trying to Build an AI Business

Last one…

And it’s the mindset shift most people WILL get wrong.

Do NOT quit your job to start an “AI startup.”

You don’t need a new company. You need to apply AI to the business you ALREADY have, or at least a proven business model.

An online coach I know records his meeting notes, has Claude draft social content from them, and posts it via Blotato + Claude. No code. About ~3 hours a week saved and a marketing channel he never had time for before.

Key point: he didn’t build an AI business!

He deployed AI in his existing business.

That’s where the money actually is for most people.

Picking the WRONG path, or doing too many paths at once, is why most people stall before they see a single dollar.

Action: try this prompt…

I do [task] manually every week.

How would I automate this with AI today, without writing code?

RECAP

AI can feel magical, but it isn’t magic.

Treat AI like a team member you train, over time, give context to, give feedback to, and continuously manage over time.

The philosophy: augment, don’t replace.

Make yourself more valuable, not redundant.

Because your AI Leverage = YOUR Skill x Your Clarity!

These 9 skills aren’t about KNOWING AI.

They’re about how you THINK and WORK.

1/ Ask AI first, before Google, before feeling stuck

2/ Stay skeptical, verify before you act

3/ Context is the skill, vague in means vague out

4/ Augment your experts, walk in prepared

5/ Treat AI like a new hire, train it for months

6/ Build a feedback loop, let it critique itself

7/ Write SOPs, the doc is what AI runs

8/ Use AI agents, connect tools and take action

9/ Apply AI to your existing business, don’t start an AI startup

Pick ONE skill from today. Apply it THIS week.

This is the RIGHT way to use AI in 2026… not as a toy, but as a teammate you continuously train.

FAQ

Do I need to be technical to use these 9 AI skills? No. None of these require code. The hardest “technical” step is clicking “Connectors” in Claude and connecting your Gmail, which takes a couple minutes.

Which AI tool should I use, ChatGPT or Claude? Either works for skills 1 to 7. For skill 8 (AI agents), I use Claude because Connectors (MCP) make it easy to plug into Gmail, your calendar, and other tools you already use.

What’s the difference between an AI chatbot and an AI agent? A chatbot gives you advice when you ask. An agent connects to your real tools (like Gmail) and takes action for you, such as reading threads and drafting replies.

What’s the one prompt to use when I’m stuck? Paste: “I want to [goal]. What do you need from me to give your best answer?” Let AI tell you what context it needs, then feed it back.

Should I quit my job to start an AI business? No. For most people the money is in applying AI to the business you already have, not starting a brand-new AI startup with tools you’ve never used.

How fast will I see results? Treat it like training a new hire. Day 1 is rough, by month 3 it’s running real parts of your work. Pick 1 skill this week instead of trying all 9 at once.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• 9 AI Skills You MUST Have to Become Rich in 2026

• Learn 80% of Claude in 23 Minutes

• Free Claude Marketing Skills

TLDR: Here’s how to connect the Canva connector to Claude, design and edit social media posts just by chatting, then auto-post them to every platform with Blotato.

Designing social posts used to eat my whole afternoon.

Open Canva. Hunt for a template. Retype everything. Fix the spacing. Export. Re-upload to 5 platforms. Repeat.

Now I just talk to Claude!

You can connect Canva directly to Claude, generate dozens of designs, and post everywhere WITHOUT leaving the chat.

I grew to 2.4+ million followers solo, and honestly this is magic.

We’ll set it up step-by-step, and by the end you’ll have a REAL design posted to your REAL accounts.

Who this is for:

Creators, founders, and business owners who want to make social content FAST with AI in 2026.

You’re tired of paying a designer, wrestling with templates, or staring at a blank Canva page not knowing where to start.

Follow along here:

1. Connect Claude and Canva

Claude is smart, but by default it’s just a chatbot.

It can’t touch your real tools.

That changes the second you turn on a CONNECTOR.

A connector lets Claude actually USE the apps you already use. Hook up Gmail and it reads and drafts your emails. Hook up Google Calendar and it sees your week and books events for you.

Notion, Google Drive, Slack… there’s a connector for most of the tools you live in.

This is the difference between AI that talks and AI that does. A chatbot gives you advice. A connected Claude opens the app and finishes the job.

Today we hook up Canva.

You don’t need Claude Code, Claude Desktop, or anything fancy. Just claude.ai in your browser.

Here’s the setup:

• Open settings: bottom left corner, click your name, then Settings, then Connectors.

• Browse connectors: click “Browse connectors” and search “Canva”. It’s the first result.

• Connect: hit the “+” button, then click Allow when Canva asks for access.

• Permissions (optional): click Configure any time to see or change what Canva can do. You don’t need to touch this now.

When you click that + button, Canva asks permission to connect to your account.

This is the part people get nervous about, so let me explain it.

You’re letting Claude read your designs, create new ones, and export them. That’s it. You can change any of these permissions later under Configure.

One nice surprise… a FREE Canva account already opens up most of what you’ll see today. You don’t need a paid plan to start.

2. See everything Claude + Canva can do

Before I touch any new AI tool, I run ONE prompt to map what it can actually do.

Start a new chat and paste this:

List every Canva connector feature available in this chat, using only the actual exposed tool list as source of truth.

Output a bullet point list, with a sample prompt for each feature and the Canva plan required.

Claude reads the entire connector and hands you a clean menu.

Generate a design. Create a presentation. Review a presentation outline. Edit an existing design. Import a design from a URL. Export a design. And a sample prompt for each one, plus whether it’s free or paid.

Most of the basics work on a free Canva plan. A few of the fancier moves want a paid plan, and the list tells you which is which up front, so you never waste time on something you can’t use yet.

I love this prompt because it kills the guessing.

No more “I wonder if it can do X…”

You get the full list, and you pick what you want to try first.

Save this prompt. I run it for EVERY new connector I add, not just Canva. It’s the fastest way to learn what’s possible with a tool.

3. Design from scratch (no template needed)

Sometimes you don’t have a template.

You just have an idea.

So I asked Claude to create an Instagram post for a new product feature, and I pasted my website link so it had real context about my company.

Pasting your website or brand link is the trick here. Claude pulls your actual product details, tone, and colors instead of inventing generic filler. The more context you hand it, the less you have to fix later.

Canva didn’t give me ONE design.

It gave me 4 to choose from.

I picked the one I liked and gave feedback in plain English:

Use design 3, but make the text at the top more prominent and neon pink.

Claude found the exact text element, made it bigger, bolder, and neon pink, then asked if I wanted to save.

It even drafted Instagram captions for me at the same time.

I said yes. Done. Opened it in Canva and it looked exactly like I pictured.

Want another change? Just tell Claude. It updates the Canva design for you, over and over, until it’s right.

This is the loop: describe, review, tweak.

No menus, no dragging little boxes around.

Just chatting it up with our lovely Claude!

4. Reuse a Canva template you already love

Building from scratch is fun, but most of the time you already have a template you like.

You just want to swap the text and images and keep the design.

In Canva, click Templates and search for the type you want. I searched “carousel” and found a cute one.

Click “Customize this template”.

That makes a copy you can edit, and Claude can edit it too.

Copy the link to your version, then run this:

Analyze my Canva template, especially the number of words per section: [paste your template link]

Then plan a new carousel with text for each slide.

Finally, make a carousel with my new text using the template.

Here’s WHY the “number of words per section” line matters so much.

Canva templates are already designed beautifully. If you cram a paragraph where 5 words belong, the whole thing breaks.

This prompt makes Claude study the layout FIRST, then fit your content inside what already works.

You can swap the images too, not just the text. Tell Claude which photos to use, or point it at images already sitting in your Canva folders, and it drops them into the right spots.

Claude even asks you clarifying questions before it starts, so the slides actually say what YOU want.

Mine wasn’t perfect on the first try.

One title overlapped a little.

But that’s the cool part. I opened it in Canva, nudged the text, and every edit synced back instantly! Claude had even flagged the overlap itself before I noticed, so it could’ve fixed it.

5. Make Claude your social media manager

The design is done. Now the boring part… posting it everywhere.

This is where a single connector will save you 5 hours per week.

I post with my own app, Blotato. I built it for myself as a solo creator to scale across platforms. As of May 2026, the lowest plan is $29/month and connects 20 social accounts.

(For comparison, this would cost $83/month in Buffer)

Connect your accounts inside Blotato, then generate your API key.

Add it to Claude as a custom connector with URL: https://mcp.blotato.com/mcp

Now Claude can post everywhere for you.

Try this prompt:

I made my final edits.

Now post it to Facebook and Instagram.

Claude found my accounts, drafted captions in my voice, and asked a couple of quick questions, like which Facebook page to use.

I told it to post now.

32 seconds later, the carousel was live on Instagram and Facebook.

You don’t have to post now though.

Tell Claude to schedule it for later.

Open the calendar, set your weekly posting times once, and Claude drops each design into the next open slot. That’s how 1 person grows on multiple social platforms, without multiplying work.

And the same Blotato connection can post to LinkedIn, Twitter, Threads, Bluesky, and TikTok too. One design, every platform, from a single sentence:

Post this to Instagram, Facebook, LinkedIn, and Threads.

Optimize the caption for each platform.

Claude shortens it for Twitter, keeps it conversational for Threads, and makes it polished for LinkedIn. You review, then it ships.

6. Common errors (and the prompts that fix them)

You might hit 2 errors the first time. Both look scary. Both have a super simple 1-line fix!

» Error 1: the Canva export domain.

When Claude tries to post your design, you might see a message that the Canva export domain (export-download.canva.com) is not in its sandbox network allowlist, and that it can only use URLs you give it.

It reads like something broke. Nothing broke. Tell Claude:

Export from Canva, then pass the Canva export domain URLs directly to Blotato to post.

Then tell Claude to remember it, so you never type it again.

» Error 2: using your own photos and videos.

If you want your own images or clips in the Cavna design, Claude sometimes gets confused and tries to spin up a little server to host them.

Stop it and tell Claude:

Use Blotato to upload your photos/videos so Canva can use them.

This works because Blotato has a media library. You upload your files there, and Canva pulls them in. No Google Drive, no Dropbox, no extra steps. Just tell this to Claude, and it’ll do it.

RECAP

Here’s the whole flow, start to finish:

1. Connect Canva to Claude with a connector.

2. Run one prompt to see everything it can do.

3. Generate a design from scratch, or reuse a template you love.

4. Make your final tweaks in Canva, everything syncs.

5. Connect Blotato and let Claude post to every platform for you.

And we barely scratched the surface!

You can drop in your own photos and videos, build numerical infographics, and on a paid Canva plan, set up a brand kit so every design uses your logo, colors, and fonts automatically.

So pick ONE thing to try this week.

Just one.

This is what AI is actually for. Not chatting. Shipping.

Watch the full walkthrough here:

What are you designing first, a poster or a carousel?

Hit reply and tell me!

FAQ

Do I need a paid Canva plan?

No. A free Canva account covers most of this, including generating and editing designs. A few advanced features, like a brand kit, need a paid plan.

Do I need Claude Code or Claude Desktop?

No. Everything here works in claude.ai in your browser. You just turn on the Canva connector.

Can Claude post to Instagram and Facebook for me?

Yes. Connect Blotato to Claude as a custom connector, and Claude drafts the caption and posts to Instagram, Facebook, LinkedIn, Twitter, Threads, Bluesky, and TikTok.

How do I fix the “Canva export domain” error?

Paste this: “Export from Canva, then pass the Canva export domain URLs directly to Blotato to post.” It works the first time, then tell Claude to remember it.

Can I use my own photos and videos?

Yes. If Claude gets stuck, tell it: “Use Blotato to upload the photos or videos so Canva can use them.” Blotato’s media library handles the hosting.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• I threw out my $500/mo Webflow website thanks to Claude Design

• Microsoft Copilot FULL COURSE (2 Hours & Free)

• The Laziest Way to Make Money with Claude

If you’re a business owner still using AI like a search engine… you’re already losing.

Alex Hormozi dropped his “How to Win With AI in 2026” video.

And I’m walking through every key point with REAL examples from my own work, plus the insights on WHY each approach works.

2026 is the year AI agents got real. They connect to your email, your calendar, your CRM, your support system, your social accounts, your customers.

The window is right now, BEFORE competitors catch up.

Most people teach AI like a toy.

But you should learn it like a stack. Context, constraints, tools.

This is the difference between ChatGPT yapping uselessly versus a coworker shipping work while you sleep.

Who this is for:

Business owners who want to win with AI in 2026.

Confused where to start, drowning in tutorials, tired of “tips” with no impact on revenue.

Who this is NOT for: people who already have an AI-native stack that has tripled their income. People who are NOT building a business or side income.

1. The AI Urgency Curve

You’ve heard it 100 times…

“AI will never be worse than it is right now.”

True.

And most people STILL don’t act on it.

I went from 0 to 2+ million followers SOLO and thousands of paying customers SOLO, literally building this playbook in realtime while most people were still debating ChatGPT vs Gemini.

• The compounding gap: every month you wait, the people who started BUILDING and putting themselves out there gain another month of leverage

• The intimidation trap: most people stall because they think AI means “technical”. It’s not.

• “I’ll learn it later”: AI isn’t a single skill you pick up in a weekend. It’s a STACK you build over months

Most people in your industry haven’t even tried Claude. The advantage is HUGE if you start now.

So here’s the first thing to do.

Open ChatGPT or Claude. Paste this prompt:

List 3 ways AI puts my income at risk in the next 24 months.

Then list 3 AI skills I should learn THIS month to stay ahead.

2. The AI-First Business Window

There has NEVER been a better time to build an AI-native business.

I prefer “AI-native” over “AI-first.”

Native means you architect the company assuming AI plays a productive role in every department from DAY ONE.

Not “we’ll bolt AI on later.” Native.

Now think about a big company with 5,000+ employees. My first startup was acquired by one. I was a Director Product Management there. I loved the people, but it’s enterprise. It moves SLOWLY.

Even when something is “fast” it takes weeks of meetings, approvals, trade-offs, politics, stakeholder updates.

Combine your tiny company + AI = lightning speed.

• Speed is your only advantage: tiny companies don’t have brand, resources, or people. They have speed. AI multiplies this.

• The feedback loop wins: 10 variations, tested fast, double down on winners, kill losers, repeat. AI compresses this loop from weeks to hours.

• Anthropic’s growth team is 1 person: he runs AI agents to analyze ads, generate creative, deploy variants, AB test, repeat

• AI-native startups hit $100M ARR in <18 months: Cursor, Lovable, Higgsfield. The old Silicon Valley playbook took 5+ YEARS to hit those numbers. Anthropic growing 80x in Q1 2026 BLEW EVERYONE’S MINDS in Silicon Valley.

• Revenue per employee jumped 10x: Buffer has hovered around $250K/employee for years (high end for SaaS). Recently they cracked over $300k+/employee. However, AI-native companies are doing, on average, around $2 million revenue per employee.

This 10x didn’t exist 5 years ago. I’ve been in the startup world since 2013. I assure you it didn’t.

This is why I’m so passionate about teaching entrepreneurs.

If I taught big companies, sure I’d help them make/save BILLIONS of dollars. BUT the gains do NOT trickle down to employees… you’re an item in a spreadsheet.

But if YOU build for yourself, you keep the GAINS.

How many people’s lives would change with an extra $10k/month?

And once you hit $10k, you realize you can probably grow the thing to $100k per month.

You + AI = lightning speed compounding into REAL revenue.

3. Stack Skills, Stack Leverage

Every skill you stack into AI gives you DISPROPORTIONATE leverage over competitors who haven’t figured it out yet.

Think of it as a staircase:

• Level 1, Prompts: basic prompting. Most of my short-form tiktok/instagram content is this. Still valuable for beginners.

• Level 2, Context: structured projects with persistent context, instructions, knowledge files

• Level 3, Tools / MCP: connecting AI to your real systems (Gmail, calendar, CRM, support, deelopment, etc)

• Level 4, Proactive agents: scheduled tasks, webhooks, agents running 24/7 without you, monitoring proactively

Most people are STUCK at Level 1.

If you’re reading this newsletter, you’re MAYBE at level 2 or 3.

We’re a tiny bubble inside a bubble. Most of the world hasn’t even tried Claude. And inside this tiny bubble, most people don’t even know Level 3 exists.

The opportunity for AI education is massive.

Here’s a REAL example from my startup.

I built an AI support agent running 24/7. It has access to help docs, customer logs, and tools to perform actions (i.e. cancel subscriptions, restart subscriptions, apply discounts).

It handles roughly 70% of support tickets while I sleep. Far from perfect, but it’s enabled me to scale to 1000s of paying users.

But it’s not 1 agent. It’s multiple agents working together:

• Primary agent: reads tickets, searches help docs, drafts replies, sends responses, identifies documentation gaps, suggests features and help doc improvements

• Cleanup agent: closes tickets where confidence is above 96%

• Adversarial agent: double-checks the cleanup agent’s work and re-opens tickets it thinks were closed prematurely

This is what Level 3 + Level 4 looks like in practice.

Now here’s the simple version YOU will do today:

Open Claude. Go to customize in the left sidebar. Click Connectors. Connect Gmail.

Then ask:

Summarize my unread emails and flag what needs a reply today.

Boom. You did Level 1, 2, and 3 in 5 minutes.

It’s not hard per se.

But it’s confusing amidst all the hype/noise.

To hit Level 4, go to Schedule in the left sidebar and tell Claude to send you a daily email brief at 7am.

Done. You’re further along than 99% of “AI users”.

Prompts.

Context.

MCP/tools.

AI agents.

This is the order in which to learn practical AI.

4. Workflows, Not Roles

Stop thinking in ROLES.

Start thinking in WORKFLOWS.

This is where most people get stuck.

They ask “how do I use AI to do sales?” or “how do I replace my support person?”

And it feels overwhelming because a sales person or support person does MANY discrete tasks.

Instead, break the role into concrete tasks.

A support person doesn’t “do support” They:

• Read the message

• Search for relevant info

• Draft a reply

• Review the reply

• Send the reply

• Escalate to a human when stuck

Now you have 6 discrete steps. Each one is a candidate for AI.

Here’s the exercise:

Pick a task you do every week.

List every single step. Be specific.

Paste the list into Claude.

Ask: “Which steps will AI handle today, and what tool do I use for each one?”

Done. AI will tell you where the leverage is.

If you stall on listing the steps, ask AI to interview you:

Interview me to figure out what I do every day. Ask me one question at a time.

It’ll make the list for you.

Stop using AI to “replace a person”.

I know you see this message on instagram/tiktok/youtube, but 99% of the time, these are clickbait hooks we use because they get you to pay attention for 3 seconds.

Use AI to replace a TASK.

A role is 20 tasks stacked together, and you’ll eventually learn which tasks SHOULD be handled by a human, which tasks should have human oversight, and which tasks can be safely automated by AI with high reliability (hint: nowhere near 100%).

5. The TCCA Prompt Stack

Train AI the way you’d train a person.

Most people prompt AI like they’re Googling. One sentence. No context. No constraints.

Then they wonder why the output feels generic.

TCCA fixes this:

• T = Task: the thing you want done (“write me an email”)

• C = Context: who, what, why (“reply to a customer who trialed for 14 days and didn’t convert”)

• C = Constraints: the rules (“under 100 words, no em dashes”)

• A = Ask: ask me clarifying questions BEFORE you start

The Ask is my favorite because I’m lazy and forget acronyms.

AI just asks me what’s missing.

And it forces me to think; this is a GOOD thing btw.

Here’s a complete TCCA example:

Task: Write a follow-up email to a customer.

Context: They trialed Blotato for 14 days and didn’t convert. They used the product 3 times in week 1, then stopped.

Constraints: Under 100 words, no em dashes, must mention they have an option to extend the trial.

Ask: Ask me clarifying questions one at a time until you’re 95% confident in your answer.

The output is 10x better than “write me an email to a customer.”

Here was Hormozi’s example:

He gave AI 12 rules and 16 writing samples for his email copy. Result was 5x better than “write this email.”

Action step:

• Pick your most-repeated weekly task

• Write it out using TCCA

• Paste it into Claude

• If the output is good, save it as a reusable skill or GPT

• Next time you do this task, open the skill

You stopped repeating yourself. This is leverage already.

The right prompt isn’t a magic spell.

It’s a job description.

Write it like you’re hiring someone.

6. The Last Human Moat, Bet On Yourself

This was really interesting. Hormozi’s point: the last valuable thing a human gets paid to do is take RISK.

You either go all-in on AI-native and build something doing millions in revenue per employee… or you focus on businesses where the human element won’t be removed (live events, hospitality, certain services).

My take: bet on YOURSELF.

I’m passionate about teaching AI to individuals, NOT big corporations. Because big-company gains don’t trickle down to you. I’ve worked at one. You’re an item in a spreadsheet. They will lay you off whenever they want, and companies aren’t built to care. That’s not how the corporate incentive system is structured.

But if you build your own income streams, every dollar lands in YOUR control.

• The skill compounds: build one business and you’ll be able to build another. The skill of building > the business itself. Most people get this wrong and violently spiral in stress, unable to choose the ONE PERFECT business they should start. The reality is you can change your business, you can sell your business, you can start a different business. It’s actually all about YOU and building up your skills/confidence.

• You don’t need a team to start: deploying AI properly, you can scale to revenue levels that previously required a big team. This is not to say you’ll never hire. In fact, I’ve recently started hiring for Blotato even though I could keep growing it solo. The point is - the choice is yours.

• You don’t need permission: no boss, no board, no investors. You + AI native stack + a problem to solve. I honestly hated having investors, even though I had no problem with them as people. But my life now is 1000x more fun than when I was Founder/CEO of a VC-funded startup… AND I make so much more money. Weird.

Hormozi shared a story about his friend spinning up a division inside his own company with one mission… put the larger business OUT of business.

Cool challenge. But I’d argue the gains still go to the company.

I encourage you to bet on yourself.

BUT REMEMBER:

Pick where you START.

You are not picking where you END, so stop being a perfectionist!

7. The Daily Task Audit

Every day. Write down what you did.

Find the tasks taking 1 hour today.

Find the ones you’ll compress to 15 minutes with AI.

Across 10 tasks, you’ll get hours back every single day.

Hormozi’s example: “running Facebook ads” isn’t a task. This was a fun example because I recently learned Facebook ads from the amazing Mitch Barham.

Break it into:

• Campaign setup

• Budget allocation

• Performance analysis

• Creative generation

• Copywriting

• Landing pages

• Headlines

Now each task is something AI can help with.

I recently ran bottom-of-funnel Facebook ad campaigns and made 3 creatives with Nano Banana in literally 10 minutes. One of them does NOT even look like me. They’re all doing well anyway with 3-month payback period (this is considered good for low-ticket Saas).

If I’d tried to make those in Canva, each would’ve taken 2 hours. With Nano Banana, 2 minutes each. Personally, I’m HORRIBLE at design and thinking in layers. I mean, look at this newsletter :D

This is the compression Hormozi is talking about.

And for copywriting (which I’m BAD at because it feels salesy to me), I had Gemini write a churned-user reactivation campaign based on one of the best copywriters in business.

Then I asked it WHY its version was better than mine.

It explained: mine describes the tool, the copywriter version harps on emotion.

AI was teaching me, while helping me streamline my work.

Your goal is NOT to automate everything.

Your goal is to compress 30 minutes into 2 minutes.

Then do this 10 times.

RECAP

1. The window is NOW. AI compounds. Waiting costs you.

2. AI-native businesses are architected to do millions in revenue per employee. Build yours this way from day 1 by stacking…

3. Stack skills: prompts, context, tools, proactive agents. Most people are stuck at step 2.

4. Workflows, not roles. Break the role into discrete tasks. AI won’t be able to handle all, but that’s ok.

5. TCCA: Task, Context, Constraints, Ask. Write prompts like job descriptions.

6. Bet on yourself. The last human moat is risk. Take it for YOU, not your employer.

7. Daily task audit. Find 30-minute tasks you do every week. Compress each to 2 minutes. Repeat. This leverage compounds.

This is the RIGHT way to use AI in 2026.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• 9 AI Businesses to Hit $1M With Zero Employees

• I Showed HubSpot CMO How I Use Claude Cowork

• Scrape Unlimited Business Leads with Claude

If you’re at a company running Microsoft, Copilot is already there.

Sitting in the sidebar… collecting dust!

Built into Excel, Outlook, Teams, Word, PowerPoint.

But most people don’t touch it.

I brought in Microsoft Copilot trainer, Sharee Brockington, to teach you FOR FREE. She’s taught over 60,000+ people how to master Copilot and generously shared 2 HOURS of her expertise. Connect with Sharee: https://www.linkedin.com/in/sharee-ai

As usual - no slide decks, no theory, 2 hours of actual features, actual outputs, 100% hands-on, in the Microsoft apps.

Who this is for:

People using Microsoft 365 who want to get time back. Corporate professionals, managers, ops people, anyone whose workday lives inside MSFT Office apps. People who don’t want to switch tools. They want the tools they already have to stop sucking.

Who this is NOT for: people fully outside the Microsoft ecosystem with no plans to use it. This one’s not for you.

Below is a preview of what this course covers.

1. The Copilot Home Page is a hub, not a chatbot

Most people open Copilot, type a question, close it. And leave most of it completely unused.

The Home Page has a Prompt Gallery tied to your internal company files.

It has Custom Instructions. Here’s the part I loved: Copilot will draft those custom instructions FOR you, so no blank-page problem.

There are Saved Memories so Copilot learns your preferences.

There’s Copilot Search vs. Copilot Chat. They work completely differently, in meaningful ways for finding work information.

And there’s a scheduled prompts feature; you can set a prompt to run automatically on a recurring basis.

Sharee walks through the ENTIRE home page, feature by feature. Most people skip right past this section. Which is why they get un-inspiring results.

2. Wave 3 is a big meaningful upgrade

Wave 3 is rolling out NOW, and it’s very promising!

Excel: Generate a complete project tracking dashboard from a single prompt. Formulas, summary sheets, and an insights tab all created together. We also uploaded raw unstructured data from a Word doc and watched Copilot restructure it into a clean spreadsheet.

Word: Paste in a 150-page report. Get an executive brief in minutes. Then reorganize entire sections with a prompt, no cutting and pasting.

PowerPoint: Generate a full deck from scratch, OR enhance slides you already have with design suggestions, OR use the Designer Agent to create custom slide images.

Outlook: Set custom tone rules so AI-drafted emails sound like you. Get a morning summary of inbox priorities. Research supporting data mid-email, without switching tabs.

Teams: The Facilitator Agent records, transcribes, and writes your meeting notes. You don’t do anything. It handles the whole thing.

3. Agents do tasks. Copilot chat talks.

Most people use Copilot as a chatbot. Back and forth. Ask, answer. Ask again, answer again.

Yap yap yap…

Agents are conceptually different.

Give them a task, context, & tools. They go do it.

Microsoft has pre-built agents to start with. Although we don’t dive deep into agents in this course, at least you’ll know where to find them and can start experimenting.

In the future, you can BUILD your own custom agents tied to your company’s specific documents and workflows.

There’s also Copilot Notebooks, a mini knowledge base you build yourself. Upload your documents, ask questions grounded in YOUR content. Kinda like NotebookLM :)

If you spend lots of time hunting through company files to find information… this section is a must-watch!

4. Microsoft Copilot in Outlook and Teams will save you REAL hours

Last hour of the video gets into everyday stuff for corporate users.

Outlook:

• Daily inbox summary with priorities and next actions

• Auto-generated meeting agendas before you draft the invite

• Talking points pulled from attendee context

• Email history search across mailboxes before a call

Teams:

• Meeting prep: pre-read summaries, attendee background, key questions to walk in with

• The Facilitator Agent handles the ENTIRE meeting notes workflow

Copilot Pages:

• Edit and collaborate on AI-generated content in a shared canvas

• Convert a Copilot Pages doc into a full PowerPoint in 1 click

Plus the backslash command for tagging files and people mid-conversation, and the Copilot Sidebar for jumping between apps without losing your place.

In Conclusion

Microsoft Copilot is ALREADY embedded in tools you’re spending hours in every day.

Instead of switching workflows…

Instead of learning a new system…

Stop doing the slow version of things you’re already doing.

Sharee’s advice: adopt an AI-first mindset.

Stop reaching for AI… AFTER you’ve done the work manually.

Make it your FIRST step for every task.

This mindset shift is what gets results, not the tool itself.

If you’re already paying for Microsoft 365 Copilot… use it.

Because someone else at your company is starting to.

Watch the full 2-hour course with Sharee here:

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• Free Claude Content Writing Skills

• I Showed Hubspot CMO How to Use Claude Cowork

If you’re not making money with AI yet… you’re on the WRONG path.

Nothing to do with which tools you use or how technical you are.

Everything to do with which of the 2 paths you pick.

I’ve watched a freelancer pull $30k/month from 7 clients, a guy do $4M/year from a paid AI community, and a friend vibe code an app to thousands in monthly recurring revenue.

All of these paths work.

But they split into 2 buckets, and picking the WRONG PATH or DOING TOO MANY PATHS AT THE SAME TIME is why most people stall.

If you never want to cold DM a stranger, you’re on Path A.

If you need income THIS week, you’re on Path B.

Who this is for:

People who want to monetize AI in 2026, NOT play with prompts, but confused where to start, drowning in information.

Who this is NOT for: People expecting passive income with zero work. None of these are passive. Not even close.

Here are the 9 businesses… ranked from “slow burn” to “fast cash” to “honestly hard”.

1. AI Content Creator (Path A)

Watch tutorials on YouTube. Experiment with prompts and skills.

Then, share what you learned on social media.

That’s the whole loop.

Most creators overcomplicate this. The playbook is dumb simple:

• Pick a hot topic: Claude is the obvious one right now.

• Search the hashtag on TikTok and Instagram. Watch the videos with 1M+ views.

• Copy the first 10 seconds EXACTLY: hook, structure, opening line.

• Cap each video at 45 seconds: anything longer underperforms and burns you out in the beginning.

• Post daily: same loop, different topic, every single day.

• Monetize at 10k followers: it’s where sponsorships and collaborations start landing in your DMs.

People feel weird about copying. It’s good. It means you have a moral compass.

But almost EVERY AI creator who exploded in the last year did this exact thing. They COPIED viral formats that are proven to work

Walk away with: A repeatable daily loop. ~6 months to your first sponsorship inquiry.

2. Repurposing For Growing Creators (Path A)

Most creators are not AI ppl or system builders.

They make 1 post a day on a few platforms and leave a bunch of other platforms… totally untouched.

That’s the opportunity!

The pitch is NOT “I’ll edit your videos.”

It’s “I’ll grow your followers on autopilot on X platform.”

• Target creators with 1 strong platform but missing presence on 3+ others.

• Pitch the OUTCOME, not the task: “I’ll grow your audience on these 3 platforms hands-free.”

• Use AI to repurpose: for example, long-form YouTube into TikTok shorts, Instagram reels, Threads posts. AI gets you 75% there, but you need to do the remaining 25%.

• Charge a monthly retainer: this is recurring, NOT a 1-time gig.

• Set up the system once, then maintain it. Most of your time goes to monitoring, not building, tweaking and experimenting and checking out viral examples in your niche.

• Bonus leverage: most creators have zero AI fluency, so the bar to look like a genius is pretty low.

If you’ve already done step 1 for yourself, this is even easier because you have your own results to show.

Creators don’t want individual tasks. They want FOLLOWERS.

Sell the OUTCOME, not the task.

Walk away with: A small roster of creator clients on monthly retainers. Same skills as step 1, generating revenue through a different offer.

3. Faceless Channels (Path A)

There’s a LOT of confusion about how faceless channels make money.

There are 2 monetization paths, and one makes WAY more money than the other:

• Platform rewards (views x demographics x watch time): only works on YouTube long-form. NOT shorts, NOT reels, NOT TikTok.

• Driving traffic to an offer: a mobile app, a digital product, coaching, or your own tool.

• Real example I’ve seen: faceless TikTok slideshows about going viral, driving traffic to a mobile app, which went from $0 to $80,000+ monthly recurring revenue in < 1 year.

• AI is for production, NOT automation: use it for thumbnails, scripts, b-roll, voiceover. Do NOT auto-generate slop at scale and expect it to work.

• Copy the format: find faceless channels with low subs and high views, then model their formats.

• The biggest channels are NOT automated: every successful faceless creator I know is very hands-on. AI != Automation. You can use AI to help you with each step of the process, but NEVER automate in the beginning before you’ve figured out what works.

If you want to optimize for platform rewards, it has to be YouTube long-form. No other social platform pays well.

If you want to use the explosive growth of short-form TikTok and Reels, then you NEED an offer at the end of the funnel.

Using AI does NOT mean Automation.

The most successful faceless channels are AI-assisted, not fully AI-automated.

Walk away with: A clear picture of which faceless model fits you. Most people pick wrong here.

4. Education Communities (Path A)

Most paid AI communities I’m in make at least $50k+ per month.

The Skool winner pulled $300k+ per month. Solo.

They all built a brand first or in parallel.

• Start with content (step 1), share what you’re learning, and build a small audience.

• Pick a clear demographic or niche: e.g. AI for women, AI for Gen X, vibe coding, AI automation, AI for creativity.

• Bundle 4 things into 1 offer: course + cohort + workshops + the people themselves.

• Recurring monthly revenue is the magic: $50k+/month is realistically achievable solo.

• Have qualifying questions to keep quality high. Even my FREE community has them.

• Showcase the wins: members closing $10k contracts, hitting MRR milestones, signing speaking gigs. Wins are the moat.

• Funnel stays simple: YouTube long-form + Instagram with ManyChat DM automations drive new members to community.

The mistake I see EVERY week is people launching a community before anyone knows who they are.

If random internet strangers don’t trust you yet, they will NOT pay $70 a month to hang out in your Skool. That’s why all the top paid AI communities you see pump out so much content.

People are premium. They’ll pay a lot of money to be in a room with other talented humans. It’s why community beats course.

Walk away with: A real plan for monetizing an audience you’ve already started building.

Path A done.

Expect 1 to 3 YEARS to compound.

It’s worth every minute, by the way, but it’s not fast cash.

Now let’s talk about the businesses that can put money in your bank account THIS week.

5. Personal AI Assistant For Busy Founders (Path B)

Most founders are non-technical, drowning in work, and HAVE money to throw at problems.

You’re not selling tools. You’re selling 15 hours back per week.

• Pick a defined area of pain: email, CRM, sales follow-up, social media analytics, recruiting, admin.

• I’d start with email + CRM: the easiest wins, the clearest ROI.

• Build an assistant which DOES things, not an AI yapper chat which tells the founder what to do. Big difference.

• Use existing tools where you have them: Fyxer is a good example for inbox, off-the-shelf CRM AI, dashboards in Claude or n8n.

• Charge a setup fee + monthly maintenance: you’re a long-term partner, not a 1-off contractor.

• Find clients through cold DMs on LinkedIn and Instagram: 200 DMs a day, every day, spread across multiple socials. Lead with VALUE or compelling numbers/examples.

Founders don’t want to set up tools. They want someone to walk in, install everything, and walk back out.

Busy founders LOVE to throw money at problems.

Do it FOR them and charge more.

They do not have BANDWIDTH to do stuff themselves.

Walk away with: A first client within 1 to 2 weeks if you DM 200 people a day.

6. Claude Training For Businesses (Path B)

Claude is the hottest AI tool to learn right now and supply has NOT caught up.

There aren’t even many Claude Cowork tutorials on YouTube with 1M+ views yet. It’s early…

• Pick a specific format: Claude Cowork training, Claude Code training, Claude for marketing, Claude for finance, just choose something that you’ll stick to for 1 FULL YEAR.

• Pitch teams, not individuals: companies have budget.

• Learn from FREE content: my Claude Cowork Masterclass alone gives you enough training to charge $ thousands.

• 2 ways to find clients: cold DM 200 people a day, OR guest on a YouTube channel showcasing an impressive Claude use case.

• Pitch is dead simple: “I’ll train your team in 1 day and save 5 hours per person per week.”

When people ask me what to charge, my answer is always the same.

Charge the highest number you say out loud without laughing.

It’s a personal mindset thing, NOT a budget thing.

Walk away with: A reusable training package you sell repeatedly. Also, I highly encourage you to make content from your experiences.

7. AI Consulting (Path B)

Most businesses are at a level 1 out of 5 in AI fluency.

They installed ChatGPT a few months ago. They typed in 5 prompts. Felt the answers were mehhh. The End.

The gap is HUGE between level 1 vs. level 5 AI in fluency.

• Start with an audit: charge $500 to $15k to assess where AI fits in their business.

• Audit components: tool selection, process gaps, training needs, implementation roadmap.

• Don’t promise the world upfront: scope creep will eat you alive.

• Cold DM is STILL the funnel: Linkedin and Instagram, 4 hours a day, 200 messages, spread across socials. Tap into your warm market obviously if you have one.

• Use the timeless sales pitch: “I’ll save you time, make you more money, and keep you ahead of competitors. With AI.”

Consulting is one of the FASTEST paths to cash, in general.

The timing is NOW because every business owner is panicking about falling behind. And those who don’t learn AI will most definitely fall behind.

You’re not selling AI. You’re selling clarity, relief, certainty.

Every business pitch is the same, as old as sand:

Save time. Make money. Don’t fall behind.

Now we’re tacking “AI” onto the end.

Walk away with: Skills to print money for the rest of your career, regardless of which AI is hot. Consulting helps you develop multiple foundational skills, which you’ll use forever.

8. AI Automation Agency (Path B, harder than it looks)

A LOT of creators are pushing this as the easy path.

It’s not.

• What it is: connecting tools (Zapier, n8n, Make.com) with AI calls inside the workflow.

• The reality: most businesses are infrastructure disasters. Messy data, no docs, tools without APIs that you’re somehow expected to automate and sync.

• You need 2 roles: someone filling the funnel (sales) AND someone fulfilling (building).

• Where to find clients fast: cold DMs, content, OR Upwork. Yes, Upwork.

• Upwork hack: apply within 2 hours of the job post, in proper English, being an actual human. The bar is shockingly low; I tested this a few months ago.

• The pitch is always: “I’ll build automations to save you time and money.” NOT “Look I know XYZ features in ABC apps.”

Honestly, 99% of creators selling the AAA dream make more money from their COMMUNITY or CONTENT than from their actual agency.

Always follow the money :)

Automations break all the time. Edge cases. Tools without APIs.

I feel an AI automation agency is consulting, but 5x harder.

9. Vibe Coding Apps (Hardest path)

I’m bullish on vibe coding.

I’m NOT bullish on it as your FIRST business.

• Vibe coding lets you build fast: type what you want, AI writes the code.

• It does NOT make it easy to build something GOOD: those are completely different skills.

If you want to pursue this, here’s my best advice in a nutshell:

• MVPs are way too complicated: aim for 1 thing the user achieves in their first 90 seconds.

• Flip the time ratio after launch: 90% of your time goes to MARKETING, not building.

• Marketing minimum: 4 hours a day, every day, until you have a steady trickle of users.

• Best path in: build an audience FIRST OR partner with someone who will be handle marketing fulltime, then launch your product.

Vibe coders get stuck because they treat shipping features as the same thing as growing the business.

It’s not.

If you don’t have an audience and you don’t know marketing, this path is brutal.

Vibe coding makes it easy to build fast. It does NOT make it easy to acquire customers. Those are 2 different SKILLS. Don’t underestimate the work involved in marketing. If you’re a dev, treat marketing as a Systems Engineering problem and spend 4 hours/day on it, no joke.

Walk away with: Permission to NOT pick this one :)

Hmmmm….

If you’re brand new, start with step 1.

Content sets you up for EVERYTHING else: communities, training, consulting, products. All of it.

It’s also, like, really really easy :D just copy other people’s viral videos, and you can start by copying all of MINE.

However, if you need cash THIS month, pick step 5, 6, or 7.

DM 200 people a day on LinkedIn and Instagram. It works.

I know it works because it’s how I’ve hired people who DM’d me out of nowhere. Freelancers, services, products. Yes I read cold msgs.

And if you have a technical background and you’re willing to grind, step 8 or 9 might work. But go in with EYES WIDE OPEN. It’s less about building and much more about marketing/distribution.

The thing nobody tells you…

Most people who hit $1M end up doing BOTH paths.

They start with one, build momentum, then layer in others.

Pick where you START. You are not picking where you END, so stop being so impatient and harsh on yourself!

The fastest way to $1M with AI is NOT picking the perfect path. Pick ONE path and doing volume consistently over a long time.

Which path are you starting with?

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

• 3 Simple Tips to Unlock Claude Genius Mode

• 19 Secret Claude Code Commands!

• Don’t miss 🎁 My 2 Million Followers Celebration Bundle

  • 25% OFF Blotato (3 Months) - Use code: “2MILLION”

  • BONUS: 5,000 AI Credits ($30 Value)

  • BONUS: 5 Claude Content Skills (Pre-loaded)

  Claim Bundle & Use Code “2MILLION”

I shared my Claude Cowork workflow with Hubspot’s Chief Marketing Officer, Kipp Bodnar, and people kept asking for the prompts!

So here they are, all 6 steps, in order, with the prompts.

Who this is for:

Creators and founders who want to scale content creation and marketing WITHOUT hiring a team. People who want high-quality human-in-the-loop AI content. I review every single post before it goes live. There’s the whole point!

Who this is NOT for:

If you want full automation without reviewing content quality (which I don’t recommend btw unless you’re very experienced).

Follow along here:

1. Build a “write-content” skill in YOUR voice

Most AI writing sounds like AI.

Generic. Polished. Forgettable.

The fix is dumb simple. Teach Claude to write like YOU before you ask it to write a single post.

Open Claude Cowork and run this exact prompt:

Create a “write-content” skill which writes social media posts in my brand voice about my business and personal brand. Interview me until you are 95% confident the outputs will reflect my brand.

Notice the last line. That’s the magic!

Claude will fire questions at you… What platforms do you create for? What are your content pillars? What sounds like you? What NEVER sounds like you? Do you share personal stuff? How do you end a post? etc.

It will ask for writing samples.

I HIGHLY SUGGEST taking this step seriously… you will save SO MUCH TIME not having to fix generic outputs later.

Paste your best-performing posts (or if you don’t have any, grab inspiration posts from your fave creators). The more raw material you give Claude, the better the skill gets.

When you’re done, Claude saves the whole thing as a reusable skill. Think of it like a custom GPT, but WAY more flexible because it lives inside Cowork with access to your files, your tools, and your full context.

Walk away with: “/write-content” skill dialed into your voice. ~3 hours of fine-tuning saves you FOREVER on every future post!

2. Open a new chat and write your first drafts

Now test it…

Start a fresh Cowork conversation, type /, and click “write-content”. When it lights up blue, the skill is active.

Here’s a simple prompt:

/write-content LinkedIn, Facebook, and Twitter post about the receipts image in my downloads folder

The receipts image is a screenshot of a Facebook analytics page showing 9M organic views in 2 months.

Claude found the file. Analyzed the screenshot. Pulled the numbers. Wrote 3 platform-specific drafts in my voice.

The LinkedIn post had my signature emoji at the end.

The Twitter post was short and punchy because of how I told the skill I prefer it.

This is where most people stop.

But don’t stop here!

Read every draft. If something sounds off, tell Claude WHY.

Then say:

Update the skill with everything we talked about.

This is how you finetune Claude continuously. Do this regularly and your skill gets sharper EVERY single time.

Walk away with: 3 platform-ready drafts in minutes, each one tuned to how YOU talk.

3. Connect Blotato to Claude Cowork

Now you need a way to generte the visuals and schedule the posts without leaving Claude.

Blotato handles both.

I built it for myself when I was drowning in content, trying to scale solo across multiple platforms. It now powers most of what you see me post.

Setup takes 60 seconds:

• Sign up at blotato.com

• Settings > API > generate an API key

• Open Claude Cowork > Settings > Connectors > Custom Connector

• Name: Blotato

• URL: https://mcp.blotato.com/mcp

• Click Connect, approve OAuth, done!

Now Claude talks to Blotato directly. Same way it talks to Gmail, Google Drive, or HubSpot if you’ve connected those.

Walk away with: A live connection between Claude and Blotato. ~1 minute of setup unlocks insane automation capabilities.

4. Generate visual to match your social media post

Visuals stop the scroll.

A naked LinkedIn post gets 1/3 vs. a strong visual.

Run this prompt:

Use Blotato to create a visual to accompany our LinkedIn post. Let’s use the “whiteboard infographic” template.

Claude calls the Blotato MCP tool, picks the template, and kicks off generation.

Behind the scenes, Blotato will use Nano Banana 2, so the wait is usually a couple of minutes for an infographic.

When it’s ready, Claude drops a “Show image” link in the chat.

You’ll get a clean whiteboard-style infographic with charts, headlines, and a layout which looks like a designer made it.

This is the SAME template I used for a recent LinkedIn livestream announcement, and it pulled HUGE engagement!

Walk away with: A scroll-stopping LinkedIn-grade infographic to accompany your post.

5. Schedule posts to LinkedIn, Facebook, and Twitter

This is the part which USED to take me hours every week.

Now it takes ONE prompt.

Schedule all 3 posts 10 minutes from now.

LinkedIn gets the infographic.

Facebook gets the receipts screenshot.

Twitter posts text only.

This single line tells Claude:

• WHICH platforms (LinkedIn, Facebook, Twitter)

• WHICH media for each (different visuals, as an example)

• WHEN to publish (10 min from now, but you might say “next Tuesday at 9am MST” or “spread across the next 3 days”)

Claude calls Blotato.

Blotato schedules each post with the right asset.

You can also reschedule on the fly. Say something pops up and you want to bump everything 2 days. Simply tell Claude in plain english.

NO clicking calendars, NO drag-and-drop, NO juggling.

Walk away with: 3 platforms scheduled in seconds. ~15 hours/week saved over manual scheduling.

6. Confirm everything in your calendar

Trust but verify!

This has always been a good motto…

Check your calendar here: https://my.blotato.com/queue/schedules

You can also ask Claude: “What posts do I have scheduled?”

You’ll see all 3 posts lined up. Each one shows the platform, the time, the caption, and the attached media.

If something looks wrong, edit it right there. Or tell Claude:

Delete those 3 posts I scheduled, I want to revise them.

Done. Claude calls Blotato, removes them, and you’re back to draft mode.

After a few days of this, you’ll NEVER GO BACK to manual content creation without AI.

My honest take

This workflow saves me 15+ hours every week.

But the REAL win is quality control.

I still read every single post before it goes out.

My personal brand is too important to hand off.

What Claude + Blotato do is collapse the boring tedious parts.

What’s left is the part which matters - ideas, editing, reviewing, iterating, sharpening.

This is the RIGHT way to use AI as a content creator.

Don’t miss 🎁 My 2 Million Celebration Bundle

Celebrating my recent milestone of 2 million followers across social media, here’s a gift for you:

• 25% OFF Blotato (3 Months) - Use code: “2MILLION”

• BONUS: 5,000 AI Credits ($30 Value)

• BONUS: 5 Claude Content Skills (Pre-loaded)

Claim Bundle & Use Code “2MILLION”

Which step are you setting up first?

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

Click here to see the official recap, lineup and photos

Now here’s my UNOFFICIAL recap of the main things I learned:

1. Everyone is ADDICTED to their phones... ppl literally cannot sit still and listen. At one point, every single person sitting around me was on their phones checking email/slack/socials instead of listening. I’m prolly one of the only people who does NOT have social/email/slack on my phone. Now I realize this is a superpower.

Sometimes I worry ppl are too obsessed with AI itself and lose sight of the bi picture. I teach AI for free so that you can build leverage and have more time to enjoy the things that matter... I view AI as a tool to achieve more time/money flexibility without big upfront costs. And I view social media as the most efficient distribution engine for education in 2026; if it wasn't, I honestly wouldn't be on it.

2. Posting/streaming to socials gets my free AI education to a much bigger and more diverse audience compared to exclusive events/conferences. Still, I do appreciate attending events like this and witnessing the resources required to pull off such a high-quality production (from a content creator perspective).

3. For me, Richard Edelman stole the show with a strong thesis that businesses should be societal leaders, i.e. consistently demonstrating the values you want to see in the world instead of relegating this responsibility to the realm of “politics” only... no surprise he went to my high school Exeter 🦁 when I noticed the lack of free high-quality AI education and the worsening AI literacy gap, I didn’t need anyone’s PERMISSION to do something about it. I embraced the vision I wanted - free education for all so that no one is left behind - as my personal responsibility. (Kierkegaard, much?)

4. Tougher AI topics like the widening class gap, widening literacy gap, culture of fear, job displacement, and lack of upskilling were only lightly touched on... the palatable answer was: “Our plan is to upskill employees so we can still fire them but they can be hired SOMEWHERE ELSE”... lol ppl wonder why I don’t care about teaching AI to big companies (answer: the gains DO NOT trickle down to you employees)

literally nobody acknowledged the massive overhiring that happened when interest rates were low, leading to multiple rounds of layoffs. Nobody talked about how the headline "we're firing ppl because of AI" is often because it's a much nicer spin than ..."we overhired when money was cheap and didn't hit revenue targets".

5. The celebrities were super cool to see, but overall discussions were shallow. The most interesting discussions came from business leaders running big orgs, navigating this insane time. But unfortunately you can tell they were holding back. I would’ve loved to hear what they REALLY think.

6. I instantly lost respect for Mr Beast when he gave a canned PR response when asked whether we should limit kids’ time watching social media. He deflected it saying he’s not an expert, he hasn’t read anything about it blah blah blah, and what if kids watch educational videos??? meanwhile making total brainrot videos. It would’ve been more credible if he just acknowledged the misaligned incentives.

Check out my Instagram Stories to see my live footage!

P.S.

no, I did not make the TIME100 list. I was just a lowly guest.

I think I can make the TIME100 AI list one day, but not sure how...

P.P.S.

boots were on sale $37 at Macy’s but I forgot to zip left one 😅

Today I’m celebrating several milestones:

• crossing 2,000,000+ followers across socials

• getting 32,000,000+ views past 30 days (solo)

• while building a highly profitable SaaS app (solo)

• that empowers 1000s of business entrepreneurs & creators

• and keeping my AI education 100% FREE, despite many temptations!

I truly have no idea what’s next… all I can say with certainty:

THANK YOU for supporting my journey!!

Some numbers (last 30 days FB/IG):

But here’s the important part:

It's just me and Blotato.

My secret to scaling without a team, without a big budget, is using Blotato as my central command center. It connects my creative workflow in Claude Code directly to social platforms.

Most entrepreneurs fail because they try to juggle multiple tools manually, instead of focusing on creating high-value content.

I built Blotato to weave them together so that “content creation” doesn’t own my life.

To celebrate these milestones, I'm opening up a “2 Million” bundle that expires April 30.

🎁 The 2 Million Celebration Bundle

• 25% OFF Blotato (3 Months) - Use code: “2MILLION”

• BONUS: 5,000 AI Credits ($30 Value)

• BONUS: 5 Claude Content Skills (Pre-loaded)

Claim Bundle & Use Code "2MILLION"

After April 30, the 5000 bonus credits and Claude Skills go back into my super secret stash…

Don’t just take my word for it :)

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

I highly recommend trying each one!

1. /btw - Run this when claude’s already doing something and it will answer without cancelling its work.

2. /model - set the model; save tokens

3. /effort - set the effort (low, medium, high, max); save tokens

4. /advisor - When Claude needs stronger judgment (a complex decision, an ambiguous failure, a hard problem), it escalates to the advisor model for guidance, then resumes. For non-tech tasks, pairing Sonnet as the main model with Opus as the advisor gives you near-Opus performance with less tokens.

5. ULTRATHINK - Just type this anywhere and claude will think max reasoning. The keyword should turn rainbow colors.

6. /caveman - Install this open source skill and cut output tokens substantially.

7. /context - Visualize current context usage as a colored grid.

   1. Shows optimization suggestions for context-heavy tools, memory bloat, and capacity warnings.

   2. I also recommend open-source library “context-mode” to reduce MCP token consumption.

8. /clear - Run between tasks to clear old context. Helps ensure high accuracy by avoiding polluted/bloated context. Also helps reduce token consumption.

9. /insights - Claude will analyze all your sessions from past 30 days and suggest how to be more productive, including what’s working, what’s holding you back, quick wins, and specific features to try based on your usage patterns.

10. /skill-creator - the meta skill that creates skills with evals. Walks you through creating, testing, and improving your own skills - the skill that builds skills. It also benchmarks for reliability. The Benchmark mode runs your skill N times and measures variance. Your skill works once? Cool. Does it work 9 out of 10 times? That’s what benchmark tells you. And it tries to close the loop with Improve mode. If your skill fails 3 evals, Improve mode analyzes the failures and refines the skill. Then it re-runs.

/plugin marketplace add anthropics/claude-plugins-official

/plugin install skill-creator@anthropic.

11. /team-onboarding - Generate a team onboarding guide from your Claude Code usage history. Claude analyzes your sessions, commands, and MCP server usage from the past 30 days and produces a markdown guide a teammate can paste as a first message to get set up quickly

12. /loop - runs a task repeatedly in your current session. You give it an interval (/loop 5m /write-post). Dies when you close the session. Good for: polling a build, babysitting PRs while you work, watching a long-running process. Session-scoped, dies when terminal closes. Designed as a safety net against forgotten loops. Minimum 1 minute.

/loop 30m check my Gmail for new emails from clients & give me a one-line summary of each

13. /schedule - creates remote task that runs independently in the cloud. Fires on a cron schedule (e.g. every weekday at 9am) whether or not you’re at your machine. Good for daily standup summaries, recurring automations, scheduled reports. Daily run caps: Pro = 5, Max = 15, Team/Enterprise = 25. No local file access — each run is a fresh repo clone. Minimum 1 hour.

/schedule 0 9 * * 1-5 research trending AI news using Perplexity and suggest 3 ideas with hooks

14. /remote-control - Continue session on your phone in Claude app

15. /rename - Rename session. Useful if RC’ing many sessions.

16. /resume - Resume a previous session.

17. Claude Chrome extension. For Claude Code, launch it with “Claude --chrome”.

    Automate tedious browser tasks that don’t have an API

    Playwright MCP is sometimes better, and it’s free

18. /rewind - Rewind the chat/code to a previous point, or summarize from a selected message. You see a popup & select a message to “fork” the chat from that point.

19. /statusline - Status lines are useful when you: Want to monitor context window usage as you work, Need to track session costs, Work across multiple sessions and need to distinguish them, or Want git branch and status always visible

/statusline show model name and context % with a progress bar

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P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year

They’re not official codes, but each keyword triggers a distinct perspective and unique output style.

Type ONE anywhere in your prompt:

1. TRUTHMODE - Stops ChatGPT from glazing and forces brutally honest feedback.

2. ELI10 - Explains anything like you're 10 years old

3. REDTEAM - Plays devil's advocate and makes you smarter

4. HORMOZI - Makes ChatGPT your $100M business coach Alex Hormozi

5. /human - Makes your output sound like a real human wrote it

6. UNLEARN - Shows outdated misconceptions holding you back

7. SOCRATES - ChatGPT will teach you by asking you questions

8. LINDYMODE - Answers based on long time proven methods

9. 80/20 - Gives you the easiest path to get biggest income

10. FUTUREYOU - Add this anywhere and chatgpt will answer just like your future self would, quite enlightening :)

11. ANTIADVICE - Lists the popular guru advice you should ignore, then explains what to do instead.

12. FIRSTPRINCIPLES - Breaks the problem down to fundamentals instead of copying common advice.

13. YCOMBINATOR - Makes ChatGPT your $10 billion technology startup unicorn coach like YC

14. GARYVEE - Makes ChatGPT your $100M social media coach, just like Gary Vee

15. SHADOWMOTIVE - Reveals the selfish or hidden motive underlying what you say.

16. LOSSAVERSION - Frames the answer around what you risk losing by waiting, choosing poorly, or doing nothing.

17. CONTRASTMODE - Explains the answer through sharp comparisons so the differences become really obvious.

18. INCENTIVEMAP - Analyzes what each person or system is actually rewarded to do, since incentives often predict behavior.

19. SPECIFICITY - Replaces vague advice with concrete examples, numbers, actions, and language.

Subscribe now

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

3/ Free AI automations

4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

7/ I built Blotato to grow 1M+ followers in 1 year