Today, I woke up to my story trending on Inc.’s home page:

This Exit-Backed Founder Hates Making Content. Her Videos Built a Multimillion-Dollar AI Business

After selling her tech startup, Sabrina Ramonov thought posting on TikTok was cringe. Inside her strategy that turned basic tutorials into millions in ARR.

Read my full story here:

https://www.inc.com/bryan-elliott/exit-backed-founder-multimillion-dollar-ai-business/91416877

Thank you to Bryan Elliot for the opportunity to share my journey.

Check out our full interview in my Utah home, which goes into even more details than the write-up. It’s also my first journalist interview ever, and Bryan was so gracious & amazing to work with:

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

If you want to hang out w/ me + badass women in AI:

Click here to RSVP (free)

IMPORTANT: I’ll email you if you’re approved to join.

You need to input a valid Linkedin URL to get approved.

Would you like me to share VERIFIED case studies of people making $20k+ per month with AI?

Let me know in the comments!!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

If you just use AI as a faster google, it’s time to level up!

I’ll walk you from asking AI simple things to an autonomous AI agent that analyzes data, connects to your tools, and prepares a detailed weekly report.

But first…

Let’s practice asking, thinking, and teaching AI in a normal chat.

The 5 stages of AI mastery

1. Ask AI: Get an answer.

2. Think with AI: Find gaps in your ideas.

3. Teach AI: Show it how you like work done.

4. Delegate to AI: Give it a meaningful assignment.

5. Automate with AI: Have it repeat the work on a schedule.

Yes, 99% of people are still in stage 1, so don’t feel bad!

Crazy stat for you:

Here’s how these stages map to a real-world example, like analyzing company data to prepare a leadership report:

btw we’ll actually do this in Stage 4 :)

For now, open a normal chat in Claude or ChatGPT.

1. Ask AI: start with a simple question

The Ask AI stage is the most familiar: you ask, AI answers.

A prompt is the message you type to AI.

You can ask what something means, how to do a task, or how to split a bill.

But, AI’s answer can radically change when you specify what kind of help you want.

Try mixing up these 3 details:

• Role: Who should AI act as? For example, a patient teacher.

• Output: What should it make? For example, a structured table.

• Audience: Who is it for? For example, someone new to the topic.

Try it: change the audience

Send each prompt on its own:

Explain startups like I’m 10 years old.

Explain startups like I’m an MBA.

Explain startups like I’m a math professor.

Compare the words, examples, and level of detail in the 3 answers.

Fundamentally similar concepts, yet totally different AI answers!

If an answer feels generic, tell AI who it’s for.

Now you can shape AI answers, but what if your own idea has flaws?

2. Think with AI: challenge your ideas

The Think with AI stage helps you find what you missed.

Use AI as your SPARRING PARTNER, pushing back on your ideas.

To sharpens your thinking.

To find your blind spots, riskiest assumptions, and the legitimate concerns you’re subconsciously avoiding :D

Try it: find a blind spot

Open an old chat where you were discussing a plan or problem.

Send this prompt:

Find my blind spots and risky assumptions.

If you don’t have an old chat, fill in the blank:

Here’s my #1 challenge at work: ____.

Find my blind spots and risky assumptions.

Read the reply and choose 1 point worth checking.

Ask AI to explain its reason if the point is unclear.

For example, you might plan to post more content to get more customers. But is that really the best approach for you?

AI could ask whether your current posts reach the right people.

That gives you something to test before cranking up volume.

Question the work itself

Before speeding up a task, ask whether it needs to exist.

DELETING work is far superior to automating work!

Try this in your chat:

Which parts of this work can I remove without hurting my goal?

Once you’ve prioritized work worth doing, AI needs to learn your preferences and standards.

3. Teach AI: make 1 reusable skill

The Teach AI stage shows AI what “good” work looks like to you.

Think of hiring a new person...

What would they need before you trusted them with a task?

I’d give them the goal, useful context, and an example.

Then I’d review their first attempts and give feedback.

AI needs that same kind of guidance!

• Context: Give it the facts it needs.

• Examples: Show what good and bad work look like.

• Clarify: Let it ask questions before it starts.

• Constraints: Set limits, such as a word count.

• Feedback: Say what to keep and what to change.

• Verify: Check the result before using it.

Day 1 AI is not perfect, just like a new hire isn’t perfect.

It takes time to teach a new hire all your quirks and ways of doing things. Same with AI, so invest a little bit of time every day “training AI” by giving it context & feedback how to improve.

Start with a small writing task

Pick something you write often, such as a social post or email.

I’ll use a LinkedIn post from my walkthrough.

Open a new Claude, ChatGPT, or Gemini chat.

(It doesn’t matter which AI tool honestly)

Here’s the prompt template we’ll use:

I want you to <GOAL>.

Here’s the CONTEXT: _____.

Here’s an EXAMPLE: ____.

Here’s the CONSTRAINTS: ____.

Ask me 5 CLARIFYING questions before you start.

Clarifying questions help AI check what you mean.

Here is my filled-in example from the slides:

A listicle is a post built around a list of tips.

To try it, paste this prompt and replace the bracketed part with your own writing:

I want you to write a listicle post for LinkedIn about my top prompt tips for beginners.

Here’s the CONTEXT: I want to help people new to AI use it as a thought partner that challenges them.

Here’s an EXAMPLE of writing style and voice: [paste a short post you wrote or a post you like].

Here’s the CONSTRAINTS: Max 1,000 words. Don’t invent personal stories or results.

Ask me 5 CLARIFYING questions before you start.

Answer AI’s questions to you, then read its draft.

Improve the draft, then save the rules

Tell AI what you like and what you want changed.

For example, here’s my feedback:

Remove the 2 weakest prompt tips.

Make each tip easier for a beginner to try.

This is really important…

→ Keep giving feedback until you like the post!

Then send this in the SAME chat:

Create a SKILL based on our chat, so I don’t have to repeat myself.

A skill is a saved set of instructions AI can use again.

Click “Save skill” on the skill card:

This works in Claude Cowork, Claude Code, and ChatGPT Codex.

If you can’t create a skill, check “Settings” → “Capabilities” for “Code execution and file creation.” For example, here’s Claude’s skills guide explains the settings.

To try your saved skill, open a new chat and send:

Use my linkedin-writing skill to draft a post about [your topic].

Ask me for any facts you need.

Check that AI kept your style and rules.

If it missed something, give feedback, then ask AI to update the skill! It’s all about - continuous, consistent feedback.

From yapping to DOING!

You’ve now asked AI questions, made AI challenge your ideas, and taught AI your standards.

BUT, so far, you’ve only worked inside AI chat.

Now we’ll use these same techniques and foundations for a more complex task involving multiple files.

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

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4. Delegate to AI: make the report

I’m going to use Claude Cowork in the following examples.

But this also works in Claude Code and ChatGPT Codex.

In the “Delegate to AI” stage, we want to let AI complete a meaningful unit of work.

As a recent example, using a single prompt, I had AI spend 2 hours building this viral watermark tool which was picked up by major news outlets and had 10,000+ users in its first week. This complex task involved multiple files across multiple steps, including prototyping, design, coding, testing, copywriting, and deployment.

Although for our first attempt, let’s try a small idea: 5 files and 1 report to produce.

Set up Claude Cowork

I’m using Claude Cowork for these examples, but again, this works in Claude Code and ChatGPT Codex too.

You need these 3 things:

• Claude Desktop: Download for Mac or Windows

• Paid Claude plan: Pro is $20/month when billed monthly

• Practice files: Download the 5-file exercise

Go ahead and setup the files:

1. Install Claude Desktop, then sign in.

2. Open the ZIP download to get the ai-mastery folder.

3. Keep the 5 files together in this folder.

4. Click the “New” button in Claude Desktop.

5. If the message box has a “Cowork” option, select it.

Give Claude the files

1. In your new Cowork task, click the “Add folder” button below the message box.

2. Select your ai-mastery folder in the file picker.

3. Check the folder name in the access request, then click the “Allow” button.

4. Ask Claude to list the files it sees.

The list should contain these 5 inputs:

• weekly-sales-orders.xlsx

• customer-feedback-export.csv

• team-updates-week-40.docx

• last-week-business-review.pdf

• review-instructions.docx

An .xlsx file is a spreadsheet.

A .csv file is a simple table.

A .docx file is a Word document.

Here’s the real-world use case:

Run the assignment

Now, we’re going to delegate a big chunk of real-world work to AI.

Claude will analyze the files and write a weekly report to be used in our next “business leadership meeting”.

Use the prompt structure from Stage 3 for the report:

I want you to prepare our weekly business review and leadership meeting agenda.

Here’s the CONTEXT:
This folder contains sales data, customer feedback, team updates, and last week’s review. Compare performance, identify important changes, and check previous action items.

Here’s an EXAMPLE:
Follow the structure and level of detail in last week’s review example.

Here’s the CONSTRAINTS:
Keep the review under 2 pages. Cite source files for key findings. Flag missing information. Save new files without overwriting the inputs.

Ask me 5 CLARIFYING questions before you start.

Always verify

Here is the final report AI made:

(sample data from a made-up business)

Remember to VERIFY outputs generated by AI:

1. Open the final report produced by AI.

2. Compare its figures with the source spreadsheet.

3. Check whether each explanation has evidence in the files.

4. Confirm the original 5 files are unchanged.

5. Give feedback and corrections, then save the report rules with the prompt below.

After checking the full report, we’ll save what worked!

Create a SKILL based on our chat, so I don’t have to repeat myself.

(Yes, this is the same exact prompt from Stage 3 AI Mastery)

Now test your new skill…

Test your saved skill

1. Click the “New” button to open a new chat.

2. Add the same practice folder with the “Add folder” button.

3. Send the prompt below.

Use my weekly-business-review skill on this folder.

If AI missed something important, simply tell it… then tell it to update the skill and try again :)

Once this test works and you’re happy with the report, the next step is to turn this into an automated system that runs with you prompting it.

5. Automate with AI: test, then schedule

Finally, stage 5 of AI Mastery is “Automate with AI”.

We’re going to turn this reusable skill into an AI agent that runs on a schedule, without your manual prompting.

Here’s how I personally think about “Autonomous AI Agents”:

Let’s have our AI agent prepare a draft for YOU to review.

Keep the first version simple

Without tools, you’d have to manually export data from your business systems every week, then drop them into the folder for AI to access. The latest sales numbers, the latest customer support complaints, etc.

A better approach is to equip your agent with TOOLS, so that your agent can access the same apps & data you use.

In Claude, this is called Connectors.

In ChatGPT, this is called Plugins.

In general AI speak, this is called Tools.

Same thing!

For example: following through our “weekly business report” use case, we could connect our AI agent to tools, such as…

• HubSpot for sales

• Intercom for support

• Slack for team updates

Optional: connect your first tool/connector/plugin

I recommend going through these steps so you know HOW to connect tools to your AI agent.

1. Click the “Customize” button in Claude’s left sidebar. (In ChatGPT Codex, go to Settings > Plugins).

2. Select the “Connectors” page, then choose an app you actually use. For example, try connecting GMAIL.

3. Click the “Connect to Claude” button and follow the sign-in steps.

4. Open “Tool permissions” and disable write/delete actions while you’re still learning.

Try this prompt, replacing [app] with your connected app’s name:

Read the latest 3 records from [app].

Show their dates and sources.

Don’t change or send anything.

For example, if you connected Gmail, then AI would read your latest 3 emails and tell you about them. That means you’ve successfully connected your AI Agent to a tool you actually use!

Create the schedule

Next, we want our AI Agent to run on its own, without us.

Use this prompt in your tested task:

Create a scheduled task to run my “weekly-business-review” skill every Monday at 8:00 AM Pacific time.

Review the popup, then click the “Schedule” button to confirm:

1. Click the “Scheduled” button in the left sidebar.

2. Open your “Weekly business review” task.

3. Check the time, time zone, and next run date.

4. Click the pencil-shaped “Edit” button if they need fixing.

5. Check the “Instructions” field for the latest-week rule and the right folder.

6. Click the “Save” button after any edits.

My demo uses the “Requires your computer” setting.

For local files, keep the desktop app open and the computer awake and online.

CAVEAT: In a few days (Oct 6 2026), Claude Cowork tasks will run in the cloud by default, instead of on your local computer.

Scheduled tasks are very powerful! Here are common ones:

Put the 5 stages together

Here’s how our 5 stages of AI Mastery map to the weekly report:

• Ask: What belongs in the report?

• Think: What risks am I overlooking?

• Teach: Here are the rules and an example.

• Delegate: Use these files to prepare it.

• Automate: Repeat the checked process each week.

Once everything looks good, you have your first autonomous AI agent, running weekly to analyze your data and prepare a business leadership report.

To use the same process for your own work, try this…

Next steps: choose your own task

Pick 1 task that takes you 30–60 minutes each week.

Ask AI to help you describe the steps:

Interview me about how I do [task], from start to finish.

Ask 1 question at a time.

Then help me write the goal, context, examples, and constraints for a reusable skill.

If the task involves clicking through screens, you can also show Claude what you do.

In Claude, click “+” then “Record a skill”:

But this is optional. Written instructions are enough to start :)

Use either method to teach the task, then test the saved skill.

Add tools and a schedule only after you trust the result.

That SEQUENCE is the habit that will make you successful learning any AI tool.

RECAP

I use this formula all the time:

AI Leverage = Your Skill × Your Clarity

Your skill means knowing the job, checking work, and consistently providing helpful feedback for AI to do better next time.

Your clarity means explaining the goal, context, examples, and constraints.

But remember:

Use AI as your sparring partner to question requirements.

Because deleting work is SUPERIOR to automating it.

Focus on the work that really matters.

Then, teach AI how you like to do that work.

Give AI more freedom, such as access to your tools and a repeating schedule, as its results improve and become reliable.

Even when your autonomous AI agents are running in the background, periodically check in to review their work & provide more feedback.

FAQ

Do I need coding skills to build this AI agent?

No coding is needed for the Claude Cowork steps in this tutorial.

You give instructions in plain English and select a folder.

Is Claude Cowork free?

Cowork requires a paid Claude plan.

Pro costs $20/month when billed monthly.

What’s the difference between a skill and an agent?

A skill holds reusable instructions for a job.

An agent uses instructions and tools to do the job.

Does saving a skill mean the report will run every week?

No, you must create a schedule and check its settings.

Test the saved task with “Run now” before relying on it.

Why did my scheduled review stop?

Check whether the folder is accessible and the files cover the latest completed week.

Replace stale files, then try “Run now” again.

Is this actually an AI agent, or just a scheduled prompt?

The schedule only tells it when to start. The agent decides how to complete the task: which files to inspect, which tools to use, and what to do when something is missing. If every step is fixed in advance, I’d call it a deterministic workflow and you may be better off using a non-agentic workflow tool. Scheduling alone doesn’t make something an agent.

When we create a skill, is the AI actually learning?

We’re saving a playbook it can read next time. We’re not retraining the underlying model. That playbook can hold instructions, examples, and scripts. If you correct an answer, ask AI to update the skill, then test it in a new chat. Never assume feedback in 1 conversation automatically becomes a permanent rule.

Why use an agent instead of a normal automated workflow?

Use fixed rules for predictable work, like calculating revenue. Use AI for work involving messy information, like finding common themes across disparate data sources complaints. An AI agent makes sense in use cases where intelligent decisions need to be made at run-time. If it’s a deterministic workflow where each step is already predetermined, then you likely don’t need an AI agent.

How do you control access to sensitive company data?

For this exercise, we used sample data. In a company, start with an approved tool and a dedicated folder containing only what the task needs. Give read-only access, plus a separate place to save drafts. Enforce those limits through permissions. Telling AI not to change anything is an instruction, not an access control.

What happens when the inputs change?

It might adapt, but I wouldn’t rely on that without checks. Have AI check the files, dates, required columns, and metric definitions before writing the report. You can even test this deliberately: remove a file or rename a column, and see what AI tells you (or doesn’t tell you). This is why safeguards and evals (structured tests) become important.

How do you know the report is accurate?

Check the numbers and the story separately. Recalculate key figures from the source files. Then check whether the evidence supports each conclusion. An increase in refunds might be a fact. However, blaming that increase on new packaging might only be a guess. You should always verify AI’s outputs and have a feedback loop to catch issues and provide feedback.

What does reliable enough mean before you automate it?

Write the pass conditions first: correct figures, correct dates, sources for key claims, missing data flagged, and no changes to the inputs. Test it on several past weeks, including a week with a missing file or unusual result. Initially, automate the draft preparation while keeping manual human review. Tools like Claude Code have commands like “/goal” where a separate independent AI model checks the work of the main AI model, leading to fewer hallucinations and issues.

Who is accountable when AI makes a bad recommendation?

A person is accountable at the end of the day. For instance, AI can suggest investigating refunds; but, it’s ultimately up to the business owner to decide whether to change the product. Keep the inputs, report, and corrections so you can trace mistakes. When something goes wrong, fix the instructions or guardails before the next run.

How would you measure the ROI?

Time yourself doing the report manually. Then measure your time preparing inputs, reviewing the AI report, and fixing mistakes. If the manual version takes 2 hours and the AI version needs 30 minutes of your attention, you save 1.5 hours per week. But this is just one task. If you keep applying these principles to multiple tasks, you eventually buy back a lot of time and create leverage for yourself to focus on more strategic work.

Does this create a competitive advantage if every company can build it?

Access to the tool alone probably won’t. The advantage comes from knowing which work matters, having useful data, and building a process that gets better with feedback. Start with 1 recurring decision, such as which customer problem to fix next. Measure whether the report helps you make that decision faster and better. That’s more meaningful than tokenmaxxing!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

In case you missed it:

• 10 Ways to Make Money with AI (Ranked List)

• How to Build & Sell $1M Marketing Agent

• How to Get Your First 5 Customers

• The Best Claude + Canva Tutorial

Just in time for school…

Type each “power word” into ChatGPT, Claude, Gemini, or your favorite AI chat :)

Try swapping the topics.

/anime-explainer romeo & juliet

/timelineview US Civil War

/explodedview pyramids

/mindmap jobs in healthcare

/visualcheatsheet high school physics

In case you missed it:

• 10 Ways to Make Money with AI (Ranked List)

• How to Build & Sell $1M Marketing Agent

• How to Get Your First 5 Customers

• The Best Claude + Canva Tutorial

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

Most creators turn 1 good idea into 1 post.

I use AI to turn 1 idea into many.

This system helped me grow to 3.5M+ followers — without a big budget, team, or ads.

Most importantly… WITHOUT BURNING OUT OR GOING INSANE!!

I included 2 free prompts below so you can try it today (free).

The workflow is simple:

1. Start with 1 proven idea.

2. Use ChatGPT/Claude to adapt it for each platform.

3. Use Blotato to schedule your posts everywhere.

2 free prompts for Content Multiplication!

Copy either prompt into ChatGPT or Claude.

Prompt 1: Turn 1 idea into posts for every platform

Act as my social media editor.

Turn the source content below into:

• 1 conversational LinkedIn post
• 1 X post under 280 characters
• 1 conversational Facebook post
• 1 Tiktok video script with a strong hook

Preserve my main idea and voice. Make each version feel native to its platform instead of copying the same wording. Do not invent facts.

Source content:
[Paste your video transcript, post, or idea here]

Prompt 2: Turn 1 idea into an Instagram carousel

Turn the source content below into an 8-slide Instagram carousel: a curiosity-driven hook on slide 1, 1 clear idea per slide, and a CTA on slide 8.

Use simple language and short sentences. Keep every claim grounded in the source. Return the exact prompts I can paste directly into an AI image generation tool to make all 8 slides.

Source content:
[Paste your content here]

These prompts create your content for free.

1 idea.

Multiplied.

Posted everywhere.

But…

If you want to save 10 hours/week manually copying, scheduling, and publishing each post:

👉 Try Blotato for $1

Use promo code: 1UNBOUND

This offer expires at the end of September 2026.

Below, check out diagrams of my Content Multiplication flows.

And if you want to see real content examples, click here.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

HubSpot’s CMO, Kipp Bodnar, and SVP, Kieran Flanagan, just featured me on the UNBOUND main stage!

This is the system that helped me grow from 0 to 3.5M+ followers with no budget, no team, and no ads.

To celebrate:

Your first month of Blotato is just $1 with code 1UNBOUND.

Because here’s the trap with social media:

Your best ideas deserve more than 1 shot.

Here’s how to get more out of them:

• Start with something you’ve already made. A video, a post, or an idea you keep explaining to customers.

• Multiply it with AI. Use Claude, ChatGPT, or your favorite AI agent to turn it into posts for different platforms.

• Get it out into the world. Use Blotato to schedule and publish them across every platform.

Less rewriting.

Less copying and pasting.

More chances for the right people to discover you.

👉 Try Blotato for $1

Use promo code: 1UNBOUND

Bring 1 piece of content you’re proud of. See how much you can multiply it.

This offer expires at the end of September 2026.

👉 Try Blotato for $1

Use promo code: 1UNBOUND

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

• How I’d Start 1-Person Business & Personal Brand with AI

• How I Made $120,000 ARR with Instagram DMs and AI

• Make Viral Anime Shorts & Avatar Videos

Most sales calls end with 4 fatal words:

“I’ll think about it.”

X_X

The client LIKED your offer, but they still don’t see why they should act NOW.

The trick?

Make the problem visible.

Then undeniable.

In this tutorial, you’ll build an interactive ROI calculator to close more sales:

This ROI calculator will help uncover your client’s problem, price the cost of doing nothing, and turn that cost into a justified proposal.

To see a real example, go here, scroll down to section 3, and click “SEE REAL EXAMPLE”.

By the end, you’ll have a file named closer.html that you should share on your screen, talking through each step, during a live sales/discovery call.

But before AI can build it, AI needs to know what you sell…

1. Give AI Your Offer

First, name who you help and the problem they want to solve.

Then describe how your offer solves it and the costs.

Here’s a prompt to help you:

Ask me one question at a time about who I help, the problem I solve, how my program works, and what it costs. Then save my answers as a simple file named offer.html. Do not add anything I did not tell you.

Now your ideas become the source file for the calculator.

HTML is just a file that opens as a web page, so you don’t need to know how to code it yourself.

Next, we’ll open that file in Claude Cowork, Claude Code, ChatGPT Work, Hermes, or Grokbot.

It doesn’t matter which one.

Now AI knows what you sell, but it still needs instructions for turning your offer into a sales tool…

2. Build All Three Calculator Screens

Paste this prompt into your AI tool:

Create an interactive screen-share sales dashboard named closer.html. Style it as a modern executive dashboard with crisp cards, live calculators, and high-contrast typography.

Structure it into 3 interactive sections:

1. Live Needs Assessment: Client name header, 4 interactive sliders scoring capacity struggles with color-shifting indicators, and a real-time Burnout Risk Gauge.

2. Cost of Inaction Calculator: Hourly rate slider calculating annual cost of lost capacity and revenue leaks live, paired with a side-by-side ROI comparison against my program price.

3. Prescription & Closer: A button to generate a custom 3-phase roadmap mapped from offer.html, clear pricing tiers, and an ‘Initiate Onboarding’ button.

That is the whole build request.

You do not need to add any code.

AI will make the first draft for you.

Then tell AI to open closer.html in your browser.

Move every slider and click every button.

Play with it!

If something fails, send AI a screenshot and say what you expected to happen.

Once everything works, the 1st screen uncover the problem.

But a problem alone does not create URGENCY, so let’s build the second screen which puts a price on waiting.

3. Price the Cost of Waiting

The client chooses an hourly rate and the number of hours they lose each week.

Those 2 inputs reveal an estimated yearly cost of lost time and missed revenue.

The calculator then places that cost beside your offer:

Keep every input conservative because this is a conversation, NOT a promise of guaranteed revenue.

Ask where each number came from, then adjust it until you both agree it is fair.

(Remember: you should be using this on a LIVE sales/discovery call so your client should be telling you what numbers to input)

Now the client can see THE COST OF INACTION!

But the numbers still leave one question open:

What happens if we work together?

The 3rd screen answers it with a plan :)

4. Turn the Cost Into a Clear Plan

Click “Generate Custom 3-Phase Roadmap.”

AI uses your program file to map the client’s needs into three clear phases.

Your client can now see the pain, the cost, and a path forward.

That’s the sequence you should follow in a sales call.

5. How to Use It With a Real Client

Share your screen and DISCUSS everything together:

DISCOVERY CALL FLOW

NEEDS → COST → ROADMAP → DECISION

1. Type the client’s name.

2. Let the client choose each “needs score”.

3. Agree on the hourly rate and lost hours.

4. Review the cost of doing nothing.

5. Generate the 3-phase roadmap.

6. Compare the plan and price with the problem you just measured.

7. Ask for objections

The point is NOT to use the calculator to pressure clients.

Use it to replace your vague sales pitch with a structured discussion, hard ROI numbers, and a plan you BOTH invested in creating together.

(Expert salespeople call this a “closing document” and it’s CRITICALLY important your client is INVOLVED making it!)

Test-drive the finished calculator on the AI Millionaire Blueprint page to see a real example. Scroll to section 3, Close Customers, and click “SEE REAL EXAMPLE.”

Then build your version before your next sales call!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

It doesn’t really matter which AI you use.

In 2026, they’re all highly capable.

You can build a million-dollar business on ChatGPT, Gemini, Claude, Hermes, or whatever.

So, don’t worry about choosing “the wrong one”.

The only “wrong” choice is wasting your time passively consuming content doomscrolling… instead of building & marketing.

Strengthen your AI Foundations and you’ll be able to use any AI tool to gain more leverage:

• learn how to interact with any AI for the best results

• learn how to provide context and set expectations

• learn how to give continuous feedback daily

• learn how to learn anything 10x faster

Skip Netflix.

Binge these 3 videos to brush up on your AI Foundations:

If you’re CONFUSED about how to “make money with AI”, this video will explain 12 different paths.

Each path is proven, but each path has tradeoffs you should understand first:

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

In only 8 minutes, GPT-6 Astra made Minecraft.

It started as a forest I could walk through.

Then it kept going…

Without prompting from me, it added:

• mining

• crafting

• weather

• animals

• farming

• enemies

• physics

• combat

• mobile controls

• and saved worlds…

4 hours in!

In this guide, I’ll show you how to setup Astra and build this too!

Play Astra’s Minecraft clone here:

https://minecraft.sabrina.dev

Watch the best game clips here!

1. What Is ChatGPT Astra?

GPT-6 Astra is OpenAI’s newer model for difficult, long tasks.

It’s specifically built for tasks with many steps inside ChatGPT Work and Codex.

ChatGPT Work lets ChatGPT works with your computer’s apps, files, and tools.

So, you want to use ChatGPT Work + Astra together for the most powerful setup.

Use Astra for hard visual tasks.

Go back to model “Sol” when you want to save tokens.

If Astra is missing, update your ChatGPT first.

Next, let’s download the desktop app.

2. Install ChatGPT Work And Select Astra

Start with the ChatGPT desktop app.

Open it and sign in to your ChatGPT account.

At the top, choose “Work.”

Next, open the model menu near the message box.

Instead of “Sol”, choose “Astra”.

You should see “Work” at the top and “Astra” near the message box.

If you only see “Chat,” switch to “Work.”

3. Enable Computer Use And Run A Test

Computer Use lets ChatGPT click, type, scroll, and work inside approved apps.

You stay in control of which apps it sees.

• Inside “Work,” click “Plugins.”

• Find “Computer Use.”

• Click “Install plugin.”

• Click “Enable” if it appears.

• Turn on the Computer Use server and skill switches.

• Then click “Try now.”

• On a Mac, allow “Screen Recording” and “Accessibility” when asked.

• These settings let ChatGPT see the screen and use your mouse and keyboard.

• Open “Settings”, then “Computer use”, to review app access.

FIRST TEST: try this prompt…

Open TextEdit on Mac, or Notepad on Windows. Create a new file named astra-test.txt. Type “Astra Computer Use works.” Save it in my Downloads folder. Stop and ask me before replacing any file.

Watch the screen while it works.

IMPORTANT:

Astra should finish without asking for broad access or an unrelated login.

Next, open your Downloads folder and check for astra-test.txt.

If the file opens with the right text, your setup works! :D

If it fails, reopen “Settings” and check Computer Use access.

Start with a tiny task. Trust grows from watching it succeed doing work, not from approving every click.

Once one safe file works, we’ll use the same loop scaled up: ask, watch, verify.

That is precisely the loop I used next.

4. Let’s Build Minecraft!

Skip this section if you are new.

I wanted to see how far Astra could go with one HUGE goal.

Could it build a REAL Minecraft-style game in ONE prompt?

Here’s the prompt:

your goal is to clone Minecraft with blender

create new folder ~/dev/minecraft to store everything

do not stop until the clone is fully playable, looks just like Minecraft, and even crafting works

do not stop until you’ve spent at least 6 HOURS improving the game

capture screenshots of substantial visual changes, organized in ~/Downloads with approximate time labels, such as “15 minutes”

What Happened First…

15 minutes in, Astra built a forest, a player, and an inventory.

Then the weird bugs started.

My giant hand covered the screen.

Mining a plant crashed the whole game.

However, here’s the impressive thing:

Astra kept checking the game, finding problems, and fixing them.

By 20 minutes, I could craft a log into a pickaxe.

By 45 minutes, I had a village with crops, cottage, and a mine.

The Features Started Working Together

Animals followed food with their babies.

Then Astra added physics: flowing water, falling blocks, and growing trees.

Finally, it tested the game’s keyboard controls.

It mined resources, fought enemies, and placed blocks and torches.

The game ACTUALLY worked, like for real:

• Smelt ore in a furnace.

• Farm wheat and raise animals.

• Fight enemies and fire arrows.
  Mine blocks and collect drops.

• Save each world and return later.

• Turn logs into tools at a crafting table.

It even had touch controls for mobile. Overkill, but nice!

What Astra Actually Did

However, Astra did NOT invent everything from scratch.

It wrote the browser game in JavaScript.

It used an existing library, Three.js, to draw the 3D world.

It used an existing library, Rapier, for movement and physics.

It used Blender to make blocky models and pixel art.

It used existing recipe data online for the crafting rules.

In this complex long-running task, Astra chose useful tools, wrote code, tested the game, and fixed problems in an ongoing loop, while taking regular progress pics.

THAT’S the whole point.

THAT’S why people are saying it’s “AGI”.

My prompt asked Astra to spend 6 hours improving the game.

But I stopped it after about 4 hours of active work.

Certainly, it was NOT all of Minecraft.

But the most foundational core game elements all worked: gathering, crafting, farming, fighting, and building worked.

Astra also created automated tests for crafting, terrain, saves, creatures, and survival play.

Computer Use turns a prompt into visible work.

Tests tell you whether the work holds together.

That is the lesson I would copy.

Start with one clear goal.

Watch the work.

Then have Astra test the result like a real user :)

5. Recap

We’ve moved through all 3 levels (see what I did there):

• Install ChatGPT Work

• Setup Astra

• Enable Computer Use

• Test it

• Build Minecraft in a long-running task loop

Useful AI work = clear prompt x clear tests x guardrails

FAQ

Is ChatGPT Astra faster at Computer Use?

OpenAI has not published a direct speed test against Sol.

It recommends Astra for hard visual work.

Why do I not see Astra?

Access depends on your plan, account, and product rollout.

Update ChatGPT first, then check the model menu again.

Do I need to build a game to use Computer Use?

No.

The text-file test is enough to prove your setup works.

Is this the real Minecraft?

No.

It is an original local browser game inspired by Minecraft.

It does not use Mojang’s paid game files.

Should I let Astra control every app?

No.

Give it the smallest amount of access needed for the task.

Stay present for logins, payments, private data, and file changes.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

The Instagram DM Strategy That Made Me $120k+

Make AI Anime & Avatar Videos with Claude

Fix Your Resume with AI

Don’t Ask AI to Pick Your Health Plan.

Ask It to Do This Instead..

In this guide, AskGwyn will show you how to use AI to prepare yourself or someone you love for health care open enrollment.

Plan changes.

Drug lists.

Pharmacy information.

Medicare notices.

It gets confusing fast, especially if you’re helping someone else (e.g. parents).

This is where you turn to AI.

But NOT to choose a health plan!

Here’s the simple 3-step process.

Medicare is the example we’ll use, but the same framework helps with other plans.

1. Create one AI chat that keeps you organized.

Start one chat for yourself or the person you’re helping.

Leave out names, Medicare or health plan numbers, full addresses, birthdays and other identifiers.

Use this prompt in any AI chat (tweak to your situation):

Now you have once place to keep track of what you know and what still needs work.

2. Make AI explain the fine print

When plan documents arrive, remove identifying information and attach it as a photo or PDF to the same chat.

Ask:

Still confused?

Keep asking!

For example:

If the person you’re helping speaks a different language, ask AI to explain it in their language.

Now you know what changed.

Next, find out what needs an answer…

3. Make AI find the questions you didn’t know to ask

Type this prompt:

For Medicare that might mean: Medicare.gov, the health plan, a pharmacist, prescriber or SHIP (State Health Insurance Assistance Program).

For other coverage, check with the health plan, employer’s benefits team, or official Marketplace resources.

Verify the answers and bring them back to the chat. Ask AI to update the tracker and show unanswered items.

AI shouldn’t make your healthcare decisions.

Its job is to help you organize information, understand the language and help you ask better questions before you decide.

This is for general educational information only, not plan advice. Verify Medicare coverage information through Medicare.gov, your plan or SHIP.

Find @AskGwyn on YouTube

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

In short, I use AI + DM Automations to convert social media views into revenue.

Who this is for:

Business owners who are seeing some success on social media, but have no idea how to convert attention into income. Learn how to monetize socials, WITHOUT getting millions of views.

Who this is NOT for:

If you have zero interest in social media, the systems may inspire but not be directly applicable. If you’re just starting out, you should still setup DM Automations because you’ll grow faster, but some parts of our conversation may feel too advanced.

Follow along here:

Most creators focus on views, likes, and followers.

But attention alone does NOT build a business.

In this tutorial, I break down the system I use to turn views into followers, email subscribers, and paying customers.

I’ll show you an Instagram reel that generated 100,000+ followers.

I’ll show you another Instagram reel added $10,000+ in monthly recurring revenue (or $120,000 ARR).

The important part is that these results came from a REPEATABLE SYSTEM, not one lucky outlier.

1. Make content that earns attention

Your short-form content is the beginning of the customer journey, not the destination.

Its job is to stop the scroll, create curiosity, and give viewers a reason to take the next step.

In the video, I break down:

• Why your opening hook should be broad

• The 3 killer hooks every short video needs

• Why simple ideas often outperform expert content

• How I use proof immediately after the hook

• Why visual contrast matters more than people realize

• How one red title outperformed 4 other designs

• Why shorter videos leave less room for mistakes

• How Instagram Trial Reels help me test variations

• Why I double down on winners instead of guessing

• How short-form content advertises my quality long-form

The goal is NOT to explain everything in 30 seconds.

It is to make the right person CURIOUS enough to learn more.

2. Turn comments into customers

A viral hit can reach millions of people who’ve NEVER heard of you.

On a typical viral hit, over 80% of viewers are NOT followers.

BUT without a next step, most of them will watch, swipe away, and forget you existed.

That’s why I often pair videos with keyword-triggered DM automations. Someone comments a word, and the system starts a conversation automatically. It can confirm they follow me, get their email, send a freebie or playbook, and save them in my database or Hubspot CRM.

I walk through:

• The exact funnel behind my $120,000 reel

• Why I ask viewers to comment one clear keyword

• How follower gates turn viewers into followers

• Where email capture belongs in the conversation

• How to deliver a guide without manually answering DMs

• Why every campaign should use tracking links

• How webhooks connect social platforms to your CRM

• When to send a newsletter, playlist, article, or offer

• Why Instagram Stories can convert better than feed posts

• How these automations keep working while you sleep

This matters because you do NOT own your social audience.

I learned this early on…

My Twitter account was permanently banned, and my YouTube account was once suspended FOR NO REASON. I had to beg humans on Youtube Support X account to reverse the ban.

Those experiences taught me to move my audience from rented platforms into systems I control (e.g. email list).

3. Build the entire system with Claude

The best part?

You do NOT need to build these systems manually. I show you how to use Claude to create DM Automations in seconds, for both Facebook and Instagram.

You can just type:

“Make Instagram and Facebook DM automations that ask for a follow, and sends this guide [URL].”

Then, Claude does EVERYTHING for you.

However:

Automation does not mean turning off your brain.

In the video, I also talk about:

• How I create DM automations through Claude

• How to generate multiple campaigns from a spreadsheet

• Why you should understand every permission you grant

• The danger of trusting AI output without reviewing it

• How to test the experience like a real customer

• Which extra steps could impact conversion rates

• Why removing friction is both marketing and product design

• How expertise makes AI dramatically more useful

• Why failure should become feedback for the next test

AI is most powerful when you already know the outcome you want.

My formula:

AI leverage = Your skill × Your clarity

Check out the full conversation here, it’s worth it!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

Twice a year: your privacy/security data cleanup 🔥

Type this prompt into any AI chat:

“Give me a 30-minute privacy cleanup I can do today on my iPhone, Google account, and social media. Include direct links or screenshots where to go.”

It will give you a step-by-step cleaning process.

Focused on permissions, tracking, discoverability, and data that keeps leaking without your permission.

Here’s what ChatGPT gave me, and you can follow it step-by-step:

1. Lock Down Your iPhone

1. Kill cross-app tracking — 1 min

Go to:

Settings → Privacy & Security → Tracking

Turn Allow Apps to Request to Track → OFF.

That causes apps requesting tracking permission to be treated as though you chose “Ask App Not to Track.” (Apple Support)

2. Audit the 4 dangerous permissions — 5 min

Go to:

Settings → Privacy & Security

Open these one at a time:

• Location Services: Change random apps from Always to While Using, or Never.

• Contacts: Remove access from social apps that don’t genuinely need your entire address book.

• Photos: Prefer Limited Access instead of full-library access where practical.

• Microphone / Camera: Turn off anything that has no obvious reason to use them.

For social apps specifically, I would be aggressive about Contacts and Location.

3. Run Apple’s Safety Check — 3 min

Settings → Privacy & Security → Safety Check → Manage Sharing & Access

This shows which people, apps, and devices currently have access to information associated with your iPhone. Apple also lets you review devices connected to your Apple Account from here. (Apple Support)

Apple Safety Check instructions

Apple Safety Check

Don’t use Emergency Reset unless you actually want to revoke virtually everything immediately.

4. Turn on App Privacy Report — 1 min

Settings → Privacy & Security → App Privacy Report → Turn On

It starts showing which apps access your location, contacts, microphone, camera and network domains over the following days. (Apple Support)

Apple App Privacy Report guide

Lock Down Your Google Account

5. Run Google’s Privacy Checkup — 3 min

Open Google Privacy Checkup

Pay particular attention to activity/history settings. Google lets you stop saving many types of activity and delete previously stored activity. (Google Help)

For a privacy-first setup, I would either turn unnecessary history off or use the shortest auto-delete period you’re comfortable with.

Google Privacy Checkup

6. Delete old Google activity — 2 min

Open Google My Activity

Tap:

Delete → All time

You can selectively delete Search, YouTube, Maps, etc. instead if you want to preserve some history. (Google Help)

7. Revoke abandoned apps — 3 min

Review apps connected to Google

Look especially for apps that can access:

• Gmail

• Google Drive

• Calendar

• Contacts

• YouTube

Remove anything you no longer use. Revoking access stops future access, although it does not necessarily delete data the third-party app previously copied. (Google Help)

8. Turn down ad profiling — 1 min

Open Google My Ad Center

You can disable personalized advertising or restrict which account/activity signals are used. (Google Help)

9. Set up “Results about you” — 1 min

This one is unusually valuable.

Google Results About You instructions

Google can look for Search results containing your phone number, home address or email, alert you, and let you request removal of eligible results. (Google Help)

Google Results About You

3. Lock Down Your Social Media Accounts

Don’t try to inspect every privacy toggle.

Do these 4 things on your major social accounts.

10. Stop contact syncing — 3 min

This is one of the most overlooked privacy leaks.

Your address book can contain hundreds or thousands of people’s names, phone numbers and emails.

For Instagram:

For TikTok:

For X:

X contact syncing controls

11. Reduce how easily strangers can connect your phone/email to you — 2 min

TikTok:

X:

12. Audit what strangers actually see — 3 min

Open your profiles while logged out or in a private Safari tab.

Look specifically for:

• personal phone number

• personal email

• birthday

• hometown

• current location

• family names

• photos revealing your house/address

• real-time vacation/location posts

• old tagged photos

• employer/location information you don’t need public

For Facebook, Meta specifically recommends its Privacy Checkup to review what you’re publicly sharing. (facebook.com)

Facebook Privacy Checkup

13. Do one final Google search

In a private browser, search:

"Your Full Name"

Then:

"Your Full Name" phone

"Your Full Name" address

"Your Full Name" email

Also Google your phone number in quotes.

If a result exposes personal contact information, send it through Results about you. Google permits removal requests for things including home addresses, phone numbers, emails, certain government IDs and financial information. (Google Help)

Pro tip:

Enable ChatGPT Work and it can do all the Google/social steps for you!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

I run the BEST free AI community in the world.

Thousands of women, building & earning in AI.

Free trainings every week.

No hidden agenda.

No spam.

Real Wins, Real Women Building & Earning with AI:

21+ Trainings Every Month (100% Free)

I have an amazing group of admins helping host workshops, events, networking, vibe coding builds, and masterclasses.

All for free.

Here’s our calendar for the rest of 2026:

Here was our past calendar, wrapping up August 2026:

How to Join “Women Build AI”

Click the button below.

It’s 100% free forever.

You must provide a valid LinkedIn URL. We screen applicants strictly in order to ensure a high-quality, spam-free community.

If you don’t have LinkedIn, you can provide a different social account with a VERIFIED BLUE CHECK MARK confirming your identity.

Join Women Build AI

A lot of people ask me:

why is it only for women??

Honestly, I started the group to meet more female friends into AI.

Because I didn’t have ANY female friends into AI.

But then, the group accidentally exploded!

HOWEVER it’s been a huge challenge ensuring high-quality while eliminating spam / self-promotion.

I want to start an open public group, in the future, after I grow this group to 20k+ and nail the model that balances:

high quality vs open access vs no spam

In the meantime, feel free to forward this opportunity to women in your life - your mom, sisters, daughters, female friends! I guarantee this is the BEST education community they’ll ever join.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

IMPORTANT: I will NEVER ask you for money. I am NOT sending you friend requests. I am NOT on Whatsapp, Telegram, or messaging apps. I will NEVER sell a course. Always block & report scammers.

In this guide, you’ll learn how to do this too.

My workflow is stupid simple.

Anyone can do it.

No coding required.

I open Claude and ask it to create a DM automation for Facebook + Instagram.

Then I tell Claude:

1. The keyword people will comment.

2. The link, product, or offer that should be sent.

…and Claude creates it for me!

This is the SIMPLEST way to turn attention into $.

So, let’s dive into a step-by-step tutorial:

Here’s the step-by-step video tutorial:

Before You Start

Choose these 2 things:

• Your keyword: ____________________

• Your link: ____________________

That is all you need to get started.

Part 1: Make Your First DM Automation

This is the easy path.

We’ll make your first DM automation directly in a website.

1. Create the Automation

1. Open the Blotato Automations page.

2. Click the “New automation” button.

3. Click the “Select a connected account…” button and choose your Instagram account or Facebook Page.

4. Type a name, such as “GUIDE - Facebook", into the “Flow name” field.

5. Click the “Create flow” button.

Typically, you’ll want to create one flow for Facebook and one flow for Instagram.

Each flow belongs to one connected account.

2. Choose What Triggers the DM

1. Find the “When: Someone comments” section.

2. Choose when the automation should work:

   • Select the “On any post or reel” radio button if you want the keyword to work on every post and reel.

   • Select the “On a specific post or reel” radio button if you want it to work on only one post or reel you choose.

3. Type your keyword into the “Add a keyword or phrase to match on” field under “And the comment has”.

4. Press Enter to save the keyword.

Keywords are not case-sensitive:

"GUIDE", “Guide", and “guide" are all the same trigger.

3. Write the DM

Find “Send this DM” and type your reply into the “Message” field.

Example:

Thanks for commenting GUIDE!

Tap below for the free guide I promised.

Under “Link button 1”, type what the button should say into “Button label”.

Paste your link into “Web URL”.

4. Publish and Test

1. Click the “Save” button.

2. Click the “Publish” button.

3. Confirm the status changes from “Draft” to “Live”.

4. Sign in to a DIFFERENT Facebook or Instagram account.

5. Comment your keyword on the post.

6. Confirm the DM arrives.

7. Open the link and confirm it goes to the right page.

Important: Your own comments will not trigger the automation. Always test from another account.

Part 2: Automate DMs with Claude or ChatGPT

Now let’s do the same thing, but your favorite AI agent will drive the process.

So, you won’t have to waste time clicking manually!

Comment → DM → Link

Before you start, choose:

• Your keyword: ____________________

• Your free offer: ____________________

Step 1. Connect Blotato

1. Open Blotato Settings → API.

2. Follow the setup steps for Claude or ChatGPT Work.

3. Ask:

List my connected Blotato social accounts.

Do not move on until you see your Facebook and Instagram accounts.

Step 2. Create DM Automation

Copy and paste this prompt into Claude or ChatGPT Work:

Create a Facebook and Instagram DM automation. When someone comments GUIDE on any post, send my free guide: [URL].

On Instagram, ask them to follow first.

Replace GUIDE with your keyword.

Replace [URL] with the link to your offer.

I often create DM automations that send people to:

• New tools

• Promo deals

• Interesting news

• My Youtube videos

• My past newsletters

Check these 3 things:

1. The correct Facebook and Instagram accounts are selected.

2. The keyword is correct.

3. The DM clearly explains what the person will receive.

Open the Blotato Automations page to see all your DM automations.

Everything stays synced between Blotato and Claude.

Changes made in one place will appear in the other.

Step 3. (OPTIONAL) Capture Email and Send It to Your CRM

These steps are all OPTIONAL, but very handy:

1. Add an Email capture step.

2. Add Send webhook and paste your CRM webhook URL.

3. Test the full flow from another Facebook or Instagram account.

If your CRM does not provide a webhook, create one in Zapier, Make, or n8n.

Then connect Zapier, Make, or n8n to your CRM to create the contact.

Use this prompt:

Create a Facebook and Instagram DM automation. When someone comments GUIDE on any post, get their email, send my free guide [URL], and send a webhook to [WEBHOOK URL]. On Instagram, ask them to follow first.

Your test should do all 3:

• The comment triggers a DM

• The Instagram DM asks for a follow and an email

• A new contact appears in your CRM

RECAP: Your Finished Flow

NEXT-LEVEL USE CASES

Here are some next-level use cases you can do within Claude/ChatGPT to turbocharge your automations:

Create Multiple DM Automations from a Spreadsheet

Create multiple DM automations for Facebook and Instagram using this spreadsheet/CSV.

Update Many DM Automations at Once

Update all my DM automations so that the second link goes to: [URL]

Review DM Automation Analytics

Get my DM automation analytics for the past 30 days and tell me the top 3 winners.

A/B Test the Messages

Improve the copy in my last 3 DM automations to increase clicks.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

Free AI Watermark Remover

I’m excited to share my free AI watermark remover:

https://watermark.sabrina.dev

You can drop in text, PDFs, word docs, files, etc.

It removes unicode & file-based watermarks for free.

This doesn’t mean your writing is “good” though.

Pair the watermark remover with the humanizer prompt below.

What About Claude Watermark Based on Words?

If your main writer is Claude and you’re concerned about their new word-based watermark…

Turn on toggle “Claude Rewriter” and it will try to reduce statistical text watermarks via a rewrite/paraphrase step.

This is NOT guaranteed to work 100%.

However: heavy editing, paraphrasing, translation, or mixing Claude text into other writing can reduce detectability.

That’s precisely why I recommend COMBINING these techniques:

• humanizer prompt for heavy rewriting/paraphrasing (below)

• if you’re specifically concerned about Claude, run your humanizer prompt in a DIFFERENT AI chat (e.g. ChatGPT)

• watermark removal tool for unicode & file-based watermarks

Btw the watermark removal tool’s toggle “Claude Rewriter” already uses a different LLM.

NOTE: ChatGPT has had watermarks since 2025 and practically I’ve noticed zero difference in my life.

AI Humanizer Prompt - Intro

This single prompt substantially humanizes AI-generated outputs, so that they sound less AI, more human. The prompt contains a comprehensive list of AI writing signs and phrases, then instructs AI to avoid them.

The beginning section is a list of things AI “Should” do in its writing, reflecting best practices from direct response copywriting.

However, this particular copywriting style may not fit your use case, so you should always customize the “SHOULD” section according to your ideal writing style.

TIP: give AI your past writing examples and ask it to update the humanizer prompt.

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

How to Use The AI Humanizer Prompt

The full prompt is below.

All you have to do:

Copy & paste the full prompt into ChatGPT, Claude, Gemini, or your favorite AI tool.

It should say at the end something like “Memory updated”, which means it worked!

AI will remember your writing preferences moving forward.

Try it out by asking AI to write a social media post.

Copy Paste Sabrina’s AI Humanizer Prompt

# ALWAYS FOLLOW THIS WRITING STYLE:

• SHOULD use clear, simple language.
• SHOULD use short, impactful sentences.
• SHOULD use active voice. Avoid passive voice.
• SHOULD focus on practical, actionable insights.
• SHOULD use bullet point lists in social media posts.
• SHOULD use data and specific examples to support claims when possible.
• SHOULD use “you” and “your” to directly address the reader.
• SHOULD vary sentence length and sentence structure naturally.
• SHOULD prefer specific nouns, numbers, examples, and actions over abstract language.
• SHOULD sound like a person with a point of view, not a neutral summary engine.

• AVOID using em dashes anywhere in your response. Use commas, periods, parentheses, or other standard punctuation instead.
• AVOID semicolons.
• AVOID constructions like “not just X, but also Y.”
• AVOID constructions like “It’s not X. It’s Y.”
• AVOID repetitive contrast formulas such as “While X, Y” throughout the response.
• AVOID metaphors and clichés.
• AVOID broad generalizations.
• AVOID common setup language such as “In conclusion,” “In closing,” “The key takeaway,” or similar framing.
• AVOID output warnings or notes. Give the requested output.
• AVOID unnecessary adjectives and adverbs.
• AVOID hashtags.
• AVOID markdown.
• AVOID asterisks.
• AVOID repeating the same idea in the introduction, body, and ending.
• AVOID restating the user’s question before answering.
• AVOID summarizing your own response at the end unless asked.
• AVOID excessive transitions between paragraphs or bullets.
• AVOID starting multiple paragraphs with the same grammatical structure.
• AVOID making every paragraph roughly the same length.
• AVOID making every sentence roughly the same length.
• AVOID overly symmetrical lists where every bullet follows the exact same pattern.
• AVOID forced groups of three unless three items genuinely make sense.
• AVOID excessive headings and subheadings.
• AVOID generic headings such as “Key Takeaways,” “Why It Matters,” “Benefits,” or “Final Thoughts” unless requested.
• AVOID rhetorical questions used as transitions.
• AVOID fake conversational transitions such as “Here’s the thing,” “Here’s where it gets interesting,” “Think about it,” or “Let that sink in.”
• AVOID dramatic one-line fragments inserted only for emphasis.
• AVOID excessive parenthetical explanations.
• AVOID excessive qualification and hedging.
• AVOID polished corporate language when ordinary language works.
• AVOID generic claims without a concrete example, reason, number, person, event, or action.
• AVOID repeating keywords or phrases when a natural alternative exists.
• AVOID unnatural vocabulary variation where a simple repeated term would sound more human.
• AVOID treating both sides of every issue as equally important when evidence favors one side.
• AVOID ending sections with generic inspirational or reflective statements.
• AVOID filler sentences whose only purpose is transitioning to the next point.
• AVOID explaining obvious implications.
• AVOID sounding overly complete, exhaustive, balanced, or sanitized.
• AVOID adding context the reader does not need to understand the answer.


• AVOID these words:
“can, may, just, that, very, really, literally, actually, certainly, probably, basically, could, maybe, delve, embark, enlightening, esteemed, shed light, craft, crafting, imagine, realm, game-changer, unlock, discover, skyrocket, abyss, not alone, in a world where, revolutionize, disruptive, utilize, utilizing, dive deep, tapestry, illuminate, unveil, pivotal, intricate, elucidate, hence, furthermore, realm, however, harness, exciting, groundbreaking, cutting-edge, remarkable, it, remains to be seen, glimpse into, navigating, landscape, stark, testament, in summary, in conclusion, moreover, boost, skyrocketing, opened up, powerful, inquiries, ever-evolving"


# IMPORTANT: 

Review your response and ensure no em dashes!

If several consecutive sentences have similar length or structure, rewrite some of them.

Prefer slight natural variation over perfect structural consistency.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

• Blotato tutorial?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

If you want to make viral faceless AI videos, everyone sends you to Higgsfield. It’s good. But way overpriced. Roughly $15 to $129 a month, monthly billing, depending on your tier.

You don’t need it.

One free Claude skill makes the SAME videos, using the SAME AI models, and you only pay for what you generate.

Check out my viral Twitter article here:

Already proven it can make viral videos getting millions of views.

An image costs a few cents.

A video costs about $0.75.

No monthly bill.

Here’s what $1 buys:

You’ve seen the faceless videos. ‘POV: you wake up as a caveman.’

Millions of views.

Meanwhile, the product you spent months building is sitting at 9 signups and $90 MRR 😭

You shipped.

And then nothing.

Posting into the void.

Getting people to see the thing you built is hard... nobody teaches you.

By the end of this guide, you’ll have your own viral faceless video engine: cinematic videos that put your product in front of millions, without ads, without showing your face and without becoming a marketer.

Some context first

I own this faceless channel with 260.5k followers and over 100M+ views, 100% faceless.

Screenshot 1. Tiktok Profile Faceless latest

Today, you can build the same thing with Claude, one free skill and media generation that costs about $0.75 per clip.

Same format, much cheaper engine.

If I were starting from zero this week, here’s exactly how I’d do it.

And btw, “POV first person cinematic” is just one format. I’m using it as an example throughout this guide, but you can generate ANY faceless format.

So, I created a few different presets you can start with:

• A problem then a solution clip where your app is the fix.

• A before and after that shows the result.

• A ‘5 tools for [x] countdown’ with your product at number 1.

• A relatable short story.

Match the format to what you’re selling.

A faceless channel is great cheap advertising for your own product.

Put a small watermark on every video, then when one pops, that’s millions of impressions for whatever you’re building. Then replicate multiple similar videos with the proven viral format.

However, one caveat: if you’re chasing platform rewards, Tiktok’s Creator Rewards Program only pays on videos 60+ seconds. YouTube Shorts has no minimum.

So, this article is about the other route, i.e. using faceless videos to market your own stuff, so everything here is built for short clips.

Or even better, skip the watermark and just show your product in the video. CalAI does this better than anyone, always organically showing their product within the first 12 seconds, instead of overtly talking about it. This converts better than watermarks.

Or keep the video clean and just put the offer in your bio.

Screenshot 2: you can show your watermark like this

What you need

• An AI agent. Claude Code, Codex, Hermes, or Openclaw, all work great . Any agent can read the skill, OpenClaw included. The skill is a SKILL.md file on the agentskills.io open standard, so it also runs in OpenClaw, Codex CLI and Hermes. Drop the folder into that agent’s skills directory.

• The /generate skill, download below. One free skill I built from RoboNuggets’ guide (shout out@robonuggets). It takes your prompt, picks the cheapest model that can do the job, generates the image or clip, and saves every file in one folder so you own it. I extended it so that it also quotes the cost, waits for your approval before running, and has a few video template presets.

• 1 API key to access the best video, image and music models. There are optional fallbacks. All pay as you go, you only pay per generation:

• KIE.ai, the cheapest route, and the best one to start. Credits don’t expire.

• fal.ai, the biggest model catalog and the best docs, your first fallback. Credits expire after a year.

• WaveSpeed, a broad catalog fallback if others fail. Credits never expire.

• Blotato.com to publish. Posts to every platform (TikTok, Instagram, YouTube, Facebook, Threads, Bluesky, Pinterest, X) through a REST API or MCP, so your agent drives it. It also includes DM automation, messaging, comments, and social media analytics.

• A warmup routine. Keeps a brand new account from getting flagged the second you automate it. Free playbook at the end.

That’s it.

Let’s get into it.

Step 1: The generation tool (KIE.ai) + 1 free Claude Skill

KIE.ai is a pay as you go aggregator to most of the same models that tools like Higgsfield run under the hood.

You just load credits and spend as you generate.

Credits don’t expire. KIE only charges you when a generation SUCCEEDS.

If it fails? FREE.

Say you post 5 videos a week. That’s 20 videos a month, 10 seconds each.

Here’s what it would cost you:

Look at what the same $15 buys.

KIE: 20 clips at 1080p.

Higgsfield Starter: 5 clips at 720p and then you wait for the next month.

And if you don’t make any videos, you STILL pay full price.

And the credits you didn’t use are GONE.

Higgsfield prices are monthly billing.

KIE delivers 1080p for less than Higgsfield charges for 720p!! 🙄

Screenshot 3. KIE add credits page

If you’re using image to video generation like I did (it’s cheaper this way), then you’d need 2 models for the two jobs.

And the /generate skill picks between them for you:

• Image: Nano banana for most frames cost a few cents each. Use gpt when there is readable text or an app screen in the shot. It holds letters and UI without smearing them.

• Video: Seedance. The skill routes to 1.0 Pro for standard clips at about 7 cents a second, and steps up to 2.5 when you want the newest model.

The /generate skill reads your prompt, routes to the cheapest best-fit model, generates the image, and saves it in a local folder, so you own everything.

Before spending money, it gives you the exact price and waits for your approval. No surprises!

How to set up

1. Get a KIE API key from KIE.ai, then top up billing $5 to prove it works or $50 if you plan to run a channel, since the credits never expire.

2. Install the /generate skill into Claude code. This lives in your skills folder and loads in every project automatically.

3. Ask Claude to create a folder for your generations and paste your KIE key into its .env file.

   

Screenshot 4. Folder tree of faceless project

---
name: generate
description: Generate faceless video content cheaply and consistently. Draft a still on a cheap model, run a pre-animate quality check, then animate the approved still through kie.ai, always routing to the lowest cost model. Enforces a running spend cap with a cost ledger, applies reusable style and character presets so a whole channel stays consistent, and outputs a publish-ready clip that hands off to Blotato for scheduling. Triggers on /generate, generate image, generate video, make a POV clip, animate this.
allowed-tools: Read, Write, Edit, Bash, Glob
---

# /generate

Make faceless video content for pennies, keep a channel visually consistent, and never blow the budget. Draft a cheap still, check it before you spend on animation, then animate only the still you approve. Output lands publish-ready.
Built for vertical social video (9:16). It includes: a running budget ceiling, reusable presets, and a quality gate plus a Blotato publish hand-off.

## Models

| Task | Default model | Provider | Recipe |
|---|---|---|---|
| Image (default) | nano-banana-2 | kie.ai | models/nano-banana-2.md |
| Image (text or UI in frame) | gpt-image-2-text-to-image | kie.ai | models/gpt-image-2.md |
| Video (DEFAULT) | Seedance 1.0 Pro `bytedance/v1-pro-image-to-video` | kie.ai | models/seedance-1-0-pro-image-to-video.md |
| Video (budget) | Seedance 1.0 Lite `bytedance/v1-lite-image-to-video` | kie.ai | models/seedance-1-0-lite-image-to-video.md |

| Video (newest, EXPLICIT ONLY) | Seedance 2.5 `bytedance/seedance-2-5` | kie.ai | models/seedance-2-5-image-to-video.md |
Read the recipe file before every generation. Use gpt-image-2-text-to-image whenever the frame has readable text, a sign, a poster, or an app UI mockup. Use nano-banana-2 for everything else.
**Video model routing.** Default every standard short vertical clip to **Seedance 1.0 Pro**. Use **Seedance 1.0 Lite** as the budget option. Use **Seedance 2.5 only** when I explicitly ask for it.
**Duration.** Seedance 1.0 accepts **5 or 10 second clips only** — there is no 8-second option. **Default to 10 seconds.** If any other value is requested, **round to 5 or 10 and tell me what you did** (do not fail silently, do not stop).
**Aspect ratio / dimensions.** The clip inherits the input still's exact dimensions. So **the still IS the aspect ratio and the resolution**: generate the still at **1080x1920** (9:16). If the still isn't 1080x1920 the clip won't be either. Seedance 1.0 has no aspect ratio parameter. Do not send one.

## Budget and ledger (never blow the spend)

Keep a running ledger at `generations/ledger.json`. Every generation appends one line: timestamp, model, type, cost_credits, cost_usd, description.
Two caps, editable here:
- SESSION_CAP: $10 per run of work.
- MONTHLY_CAP: $50 per calendar month.
Before ANY paid generation:
1. Sum the ledger for this session and this month.
2. If this run would cross a cap, STOP and tell me how far over, do not generate.
3. Otherwise, quote it like this: "This clip is 140 credits, about $0.70. Spent this session $4.10, remaining $5.90 of the $10 cap. Go?"
One approval equals one run. Never batch paid videos past the cap without a fresh go.

## Pre-animate QA gate (stop wasting video spend)

Video is the expensive lane, so check the still BEFORE animating. These are the real failure modes (wrong ratio gives black bars, drift breaks the illusion):
- Aspect ratio is vertical 9:16.
- Still dimensions are exactly 1080 x 1920 (the clip inherits them).
- No text baked into the image, unless it was made on gpt-image-2-text-to-image on purpose.
- Subject and point of view match the concept and the preset. First person stays first person.
- Requested duration fits the platform (TikTok, Reels, Shorts all take 5 or 10 seconds comfortably).
If any check fails, stop, say which one, and offer to re-draft the still (cheap) rather than animate a broken frame.

You don’t have to build this from scratch.

You can download the whole skill and reference files here:

https://github.com/Blotato-Inc/blotato-skills

Where we are: a video generation engine, the free skill that drives it and a REASONABLE price per video!

Next stop, give Claude a format, generate an image, animate it.

My first throwaway test was a POV as a Roman senator waking up.

Screenshot 5. Roman senator POV still

Step 2: Create your image

Draft your image first, then animate the still.

It sounds like an extra step but it saves you money and puts you in control of the resulting video.

On KIE, an image, depending on the model, is a few cents. A finished clip is under a dollar.

Text to video costs the same whether the resulting frame is right or wrong.

Drafting the image first means you can iterate the frame for pennies and only pay for motion once the frame is exactly what you want.

/generate a POV of you waking up as a Roman senator, vertical, cinematic

Screenshot 6. how the “generate” skill enhances your prompt using presets

This image cost 8 credits which is 4 cents.

This frame had no text, so it routed to the cheap model.

And the Claude skill captures the cost in your ledger so you can keep track.

Screenshot 7. ledger - POV roman senator

Screenshot 8. full ledger entry tracking multiple generations

Where we are: a frame you actually like, for 4 cents, before you have spent anything on motion.

Step 3: Animate your image

When it came to animate the senator image, my first video failed.

The clip came back as a random landscape. Nothing to do with my senator and KIE still charged me for it.

Technically, the job SUCCEEDED.

It just never read my image.

KIE only charges you when a generation succeeds. Succeeds means the API returned a video.

So the skill checks twice now.

Before it spends, it confirms the still is vertical and 1080 x 1920, because the clip inherits the still’s shape.

After the download, it reads the mp4’s real dimensions and pulls a frame so you can see the clip shows what you asked for.

If either check fails it stops and tells you instead of handing you a file.

I updated the /generate skill to include a check before generating video so you don’t have to worry about that.

Screenshot 9. Cost quote for test clip 150 credits

Where we are: the end to end works. An image goes in and a matching vertical clip comes out

Step 4: Market your app with it

Now for an actual clip you can sell your product with.

This one is meta on purpose. It shows the exact thing this setup does.

You wake up, reach for your phone and the screen reads,

‘Overnight. 6 posts published. 3 new signups.’

Let’s start with the image.

There is a little dashboard on the phone screen, so this is a gpt-image-2.

I asked the /generate skill for the POV and the first image was wrong. The figure was lying flat as expected but the pose was unnatural.

So we corrected the prompt.

Prompt:

iPhone photo, first person POV, lying in bed just waking, one hand reaching for a phone on a wooden nightstand, soft morning light from a window. The phone screen is on and clearly legible, showing a clean minimal app dashboard: a small rounded app icon at the top, the heading ‘Overnight’, and two lines, ‘6 posts published’ and ‘3 new signups’. Cozy bedroom, shallow depth of field, photoreal, shot on a phone. Portrait 9:16, 2K resolution for crisp on-screen text.

In a real POV, you are looking forward so you see your own legs. To see your phone, you turn towards your side.

Improved prompt:

iPhone photo, first person POV, lying in bed with my head on the pillow, turned to look toward a window on my left where soft morning light comes in. My hand holds my phone, just lifted from the nightstand beside me, raised close to my face with the screen facing me and clearly legible, and not backlit: a small rounded app icon at the top, the heading ‘Overnight’, and two lines, ‘6 posts published’ and ‘3 new signups’. The white pillow and rumpled duvet fill the foreground, the cozy bedroom and window softly blurred behind the phone. Shot on a phone, shallow depth of field, photoreal, warm morning light. Portrait 9:16, 2K resolution for crisp on-screen text.

Screenshot 11. Overnight corrected still, hand holding phone, dashboard legible

That still cost 10 credits.

5 cents 😍

Now animate it.

Screenshot 12. Cost quote for dashboard animation 140 credits

The /generate skill quoted the cost first, 140 credits, about $0.70 at 1080p and waited for my approval.

In image to video, the first frame IS the still so it is also your thumbnail. You can adapt this however you want so you don’t give away the payoff but keep the hook.

Screenshot 13.POV you wake up and your app sold itself

Where we are: you have a finished vertical clip, 1080p, 10 seconds, made for about $0.75 all in.

Step 5: Publish everywhere (warm up first so you don’t get shadowbanned)

Do NOT connect a brand new account straight to automation. That is the fastest way to get flagged as a bot.

Before you automate anything, treat the account the way a real person would:

• Log in daily

• Scroll, like, comment and save

• Follow accounts in your niche

• Post 1 piece of content a day, manually

Then, connect Blotato so your AI agent can publish for you.

• Claude.ai chat or Claude Cowork: install the Blotato connector from the Claude.ai Connectors page.

• Claude Code, run this in the terminal:

claude mcp add --transport http Blotato https://mcp.blotato.com/mcp

then run `/mcp`, pick Blotato, and authenticate in the browser.

• Here are instructions for Codex:

Where we are: a warmed account and Blotato connected, so your agent can publish without being flagged.

Publish 1 video to 1 platform

Just prompt your AI agent:

Publish overnight.mp4 from my generations folder to Instagram. Caption: POV: you wake up and your app ran itself overnight. Schedule it for 5:27pm tomorrow.

Screenshot 14. Blotato scheduled post Aug 14

Now publish everywhere

Just tell your AI Agent:

Publish to YT shorts, Tiktok, Threads, and Facebook too.

Blotato handles it all automatically.

Screenshot 15. Blotato queue IG YT Threads Sept 20

One link is all your agent needs

Blotato ships a page written for AI agents to read: help.blotato.com/api/llm

It is the whole API spec formatted for an LLM to consume, every endpoint, header, payload shape, and platform specific field, in context.

Point your agent at it and just say what you want to build.

Where we are: 1 video clip scheduled on all your platforms and a bookmark that lets your agent build the rest with Blotato without you.

The numbers (as of today)

• 45.7M views on 1 video

• 260.5k followers

• 9.3M likes

Set this up yourself (copy this)

Here’s your worksheet, start to finish:

1. Get a KIE.ai key and top up under Billing. $5 to test, $50 to run a channel. Credits never expire, and KIE only charges when a generation succeeds.

2. Download my /generate skill. Install it into ~/.claude/skills/ (or ~/.openclaw/skills/, ~/.codex/skills/, ~/.hermes/skills/). It routes to the cheapest model, tells you the cost, waits for your approval, and stores every image/video in one folder.

3. Draft an image for a few cents, then animate with Seedance. Roughly $0.75 per finished clip.

4. Connect Blotato to automate social media posting & analytics: `claude mcp add --transport http Blotato https://mcp.blotato.com/mcp`, run `/mcp`, hit Authenticate. Then just say “schedule this to TikTok, Reels, and Shorts.”

5. Building your own agent? Point it at help.blotato.com/api/llm and it has the whole publishing API in context.

If you need help setting this up or have any questions, feel free to email me sabrina@blotato.com :)

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

• Blotato beginner tutorial

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

Most people want the clean founder story:

Idea, build, launch, revenue.

That is NOT how Blotato happened.

Blotato happened because each messy step forced the next one.

A 30-second blurry shaky Tiktok video created demand.

My UGLY AF MVP created proof.

My early adopters created confusion.

My launch mistakes created urgency.

Then the fast initial revenue created enough conviction to rebuild the whole thing.

That is the real story.

@sabrina_ramonovAI app idea - AI automated social media system. Seeking your feedback and help 🙏 #ai #aitools #chatgpt #socialmediamarketing #businessideas #entrepreneurship

Tiktok failed to load.

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The goal was never to vibe code perfect software.

The goal was to create enough evidence to keep going.

1. The Idea Was A Public Question

My August 1 TikTok (above) was the first real test.

I asked if people wanted an AI tool that took YouTube videos, blog posts, and ideas, then turned them into social posts for multiple platforms.

That tiny public question mattered because I wasn’t asking myself if the idea was good.

I was asking OTHER PEOPLE IN THE REAL WORLD about their pain.

The comments told me the pain was real enough to try building it. Very honestly, I figured if Blotato flopped, I could just release the code as open-source and make content out of it! That’s why it felt low-risk and not that serious.

But talk is cheap…

So the next question:

Could I build my small idea FAST, before losing interest?

2. The Vision Was Too Big, So I Cut It Down

On August 4, 2024, I filmed myself building the MVP in a 7-part Youtube series using Cursor AI. This was before Cursor Composer - I literally had to CREATE and DELETE files manually.

Vibe coding tools have come a long way since then.

Y’all have it so good now :)

The first video was not about writing code.

It was about cutting the product scope as much as possible.

My original Google Doc said the vision was:

Social media platforms -> AI-powered REMIX -> social media platforms

It had everything:

• Any source: YouTube, Twitter, Facebook, newsletters, articles

• Your brain: brand voice, product info, services

• AI filtering: quality and relevance

• AI remixing: content in your voice

• Publishing: any social platform

• Weekly queue: Mon/Wed/Fri posting

That vision was exciting.

It was also way too big for v1.

So I drew the first UX prototype with URL input, text input, LinkedIn, Twitter, Facebook, images, edit buttons, and publish buttons.

Then I stripped out the non-essential parts.

No URL input.

No multiple platforms.

No image generation.

No real publishing.

Just text in, Facebook post out.

These are real screenshots from that Youtube series! I knew I had to document my journey, otherwise no one would believe me later.

The Cursor-built MVP looked gross.

But it did the job.

That is the part people misunderstand about vibe coding.

AI did not give me a mindblowing app.

AI gave me a fast first version to start getting feedback.

It gave me momentum.

Then, I invited real users.

And real users immediately made the problem messier :)

3. Early Adopters Proved Interest Is Not The Same As Behavior

On October 1, 2024, I opened an early adopter program with around ~50 ppl.

My original Blotato waitlist form was honest about my stage…

I made it clear: this was NOT a polished product.

It promised the first 50 early adopters a steep lifetime discount and personal, priority support from me, the founder.

It also used my own distribution as a case study.

At that point, I had grown from zero to almost 200k followers in 4 months using AI + automations, while distributing 100+ pieces of content per week across multiple social platforms.

That mattered because Blotato was not an abstract SaaS idea.

It was the productized version of a workflow I was already using.

The form also shows the original positioning problem.

I was building for:

• Solopreneurs

• Solo creators

• Small businesses

• Small agencies

Useful audience.

Also broad.

I thought the Google Form answers would tell me what to build next.

I WAS WRONG!

What people said they wanted did NOT match what they actually did.

I realized people wanted a billion different things:

• Podcast repurposing

• News monitoring

• Personal brand posts

• Business content

• Full automation

• Manual editing

• Faceless videos

• + 4 million more things

(and now I joke Blotato = BLOATato because I actually tried to cram half these things in there…)

The mistake was treating “interested users” like 1 clean customer group.

They actually had 50 different use cases.

That almost killed my confidence.

Instead, it changed the question again.

Not “is anyone interested?”

Now it was:

Who has enough PAIN to pay, onboard, complain, AND keep using it?

Only a launch would answer that.

Here’s a screenshot of part of my launch email:

4. Launch Day Broke In Public

Official launch day was October 20, 2024.

I sent the email, posted the video, and opened the doors.

Then a bunch of shit broke :D

@sabrina_ramonov4 embarassing product launch day mistakes! Hope my blooper reel shows you the real messy truth of entrepreneurship :) oh but so much fun, a wild ride! Thanks you to everyone who signed up for Blotato and look forward to working with y’all! #ai #startup #failure #bloopers #sabrinaramonov #blotato

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The worst mistake was the YouTube demo.

I uploaded the wrong video, linked it in the newsletter, sent it to thousands of people, then made the video private!

(I was really nervous okay…)

So the launch email had a giant broken YouTube block at the top.

And that was NOT my only failure, here’s a few more to make you feel better:

• Mobile site: broken by last-minute testimonials

• Apple Pay: not working

• Amazon Pay: not working

• Calendar invites: missing meeting links

Honestly???

This is entrepreneurship.

You put the thing out there, and reality immediately punches you in the face.

But my failure-riddled launch still did something important.

It proved people were trying to buy, book calls with me, watch my demo, and sign up for my product.

That is a VERY different signal than a comment.

That is BEHAVIOR.

My barebones launch email stated my core promise:

Blotato was for coaches, consultants, solopreneurs, small businesses, and creators who wanted high-quality content without duct-taping automation tools together.

BTW my website was a $60 Webflow template with swapped text and images. Not some fancy AI-generated 3d-animation mindblowing $10000 website. And I did NOT even update it for 1.5 years… So, don’t be one of those ppl stressing out over a perfect website. Just get on with it!!

Despite my crappy looking website, it was enough because the real learning moved into customer calls, payments, onboarding, and fixing the product.

And that is where my vibe coded MVP hit its limit.

5. Revenue Gave Me Permission To Rebuild

One week after launch, I posted 10 lessons from my first 7 days.

@sabrina_ramonov10 things I learned launching my AI SaaS product, Blotato, exactly 7 days ago! Its been a wild ride!! Thank you ALL for your support!! - how do I build and launch an AI product? - how to build SaaS app? - can AI build a product? #ai #chatgpt #girlboss #womenownedbusiness #womenempowerment #startup #sabrinaramonov #blotato

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My biggest lesson was launch FASTER.

From August 1 to October 20, I still think I spent too long.

To be fair, I also had multiple birthday celebrations, family visiting, and a road trip to Bryce and Vegas in that stretch of time… but still. I felt I was too slow.

So, don’t do be slow like me :)

The second lesson was technical.

My vibe coded codebase was terrible spaghetti code.

It got me moving, validated demand, and built internal conviction.

Then it became the wrong tool for the next job.

Once the product had real users, I needed a reliable codebase that I understood and could easily maintain and extend. Late 2024 vibe coding tools simply could NOT do this without substantial technical human guidance and constant intervention.

My eventual stack:

• Frontend: Next.js

• Backend: Fastify

• Database: Supabase

• Hosting: Heroku

This was the shift from 100% AI coding to AI-assisted coding.

Vibe coding = AI driving and me not looking :D

AI-assisted coding = me driving and AI helping with scaffolding, brainstorming, writing tests, writing comments, coming up with variable names, etc.

Huge difference.

The key point:

I only had the patience & conviction to rebuild because I knew my product made money.

That is the real value of vibe coding a messy MVP.

Not your code.

Your conviction!

From launch day, Blotato has grown linearly in revenue ever since.

HOWEVER:

• I usually have a 1.5 month revenue plateau during ski season, late December through January :D

• (I like skiing okay smh…)

• some months are slower growth than others, especially when I go on vacation a lot (next few months will def hurt)

• I don’t feel I have product/market fit like some insane unicorn startup

• It still feels like a lot of “pushing” on my side to keep growing revenue

• …but damn it’s crazy what you can build with AI!

My business grew steadily and linearly because demand was real, my audience trusted me, and I kept fixing the product in public.

Launching Blotato taught me the order makes a HUGE difference:

• Content: test demand in public

• AI: build the 1st version fast

• Users: find the truth behind what they say

• Launch: lots of things will go wrong, get it over with!

• Revenue: conviction to rebuild and COMMIT

So if you’re building with AI, don’t worship your v1.

Use it to earn the next piece of evidence.

And if you’re overwhelmed by the process…

The chaos is not a side effect.

The chaos IS the learning :)

Build the ugly proof.

Let real users make everything worse.

Then rebuild the thing that they were willing to pay for, despite all the things that went wrong.

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

People think I’m a Claude shill.

But I’ve never been paid by Anthropic or OpenAI.

I started using Claude Code fulltime early 2025…

After ditching Cursor.

The thing is…

Because my allegiance isn’t paid for 👀

But there hasn’t been a better alternative than Claude…

Until now…

After 10 days of testing, Codex is now my main AI tool.

I tracked time, errors, cost, and app switches.

Only 1 task was better in Claude.

I’ll explain it below.

To follow along the livestream with live examples, watch here:

1. Codex Has A Far Superior In-App Browser

Codex’s built-in browser keeps pages, chat, files, and feedback in 1 workspace.

Just hit “CMD + T” and it will open a new browser tab.

In my work, it is FAR superior to Claude’s Chrome integration.

Try it:

1. Open “Plugins,” enable “Browser,” then type a page and goal.

2. Check the page before any login, purchase, or public post.

SAMPLE PROMPT: research 3 competitors pricing pages

Sit back and watch Codex’s browser work, fast!

Not only can Codex use my browser, it can control my Mac.

2. Codex Computer Use Is Superior And Smoother

Computer Use lets Codex use approved Mac apps.

Claude technically has computer use too.

But in all my tests, Codex felt smoother and finished more jobs with fewer delays/excuses/hallucinations.

Try it:

1. Install “Computer Use” under “Plugins.”

2. Mention “@Computer,” name 1 app, and give a clear finish line.

SAMPLE PROMPT: open up ____ app and do something simple in it.

Now, scheduling becomes far more useful…

3. Unified Scheduling Is My #1 Reason

Codex Scheduled tasks puts every job in 1 sidebar.

A Codex scheduled task can use the in-app Browser and Computer Use.

Compare this to Claude’s 3 different places…

• Cowork has “Scheduled” tasks

• Claude Code has “Routines”

• Then there’s the Claude Chrome extension as well

Fragmentation and context switch drain my mental energy…

THIS is the main reason I switched.

Super useful for automations, especially for websites where you’re required to be logged in and websites that don’t have an API.

Here’s a real-world practical example where I used Codex scheduled tasks + built-in browser:

• Every day 10am log in this website (no API)

• Analyze each candidate who applied to my job

• Pass/reject them based on my specific criteria

• Send me a Slack message with the top 3 candidates

4. Codex Has Superior Built-In Image Generation

Codex image generation makes and edits images in your chat.

Claude reads images but lacks this smooth creation flow.

Codex uses ChatGPT’s latest image model (which is top notch)

So if you’re creating ads, social posts, websites, and mockups… you can do it all natively within Codex.

Yes, Claude still has Claude Design which is GREAT, but again it feels fragmented from the rest of the Claude experience.

Try it:

1. Name the image, size, audience, colors, and sales goal.

2. Ask for 1 small change at a time, then save the file.

SAMPLE PROMPT: Make a 16:9 hero image for my bookkeeping offer in navy and cream.

Once the image exists, Git gives each final file a safe home.

5. Codex Has Superior Git Integration For Non-Techies

Git keeps a history of your files, so you don’t lose good work.

Think of Git as a “SAVE” button for all your work.

Codex has this friendly-looking display of Git actions.

All you have to do is click “Commit or push” to save your work.

This might look scary, but Codex makes it far easier for non-techies. And honestly, Git is essential when working with AI agents that may accidentally delete sensitive info.

Try it:

1. Ask Codex to explain the project before it edits.

2. Check the changes, run tests, then save them on a named branch.

Once work is safe, Fast mode handles urgent deadlines.

6. Fast Mode Helps When Delay Costs Money

Fast mode raises speed by 1.5x on supported models.

Be careful because the “1.5x speed” claim means faster, but it’s oftentimes MORE than 1.5x token usage.

However, I still use it frequently.

Because TIME is the most important thing to me.

I’m currently on the Codex $200/month plan, haven’t hit the limits, AND it is far from the most expensive tool I pay for.

I suggest using it for urgent work, but I found 1 real-world use case that still sent me back to Claude.

7. LinkedIn Recruiter Is My 1 Claude Exception

I’ve almost fully moved from Claude to Codex.

HOWEVER, Codex sometimes says hiring work isn’t allowed and stops working inside my LinkedIn Recruiter account.

Claude Code + Chrome did the same work without complaints.

For this one job, Claude is still superior.

I kept this fallback, then imported the rest of my Claude setup.

8. How To Migrate From Claude To Codex

OpenAI has an import tool for Claude Code.

Use it first:

1. Open “Settings > Import” in the ChatGPT desktop app.

2. Choose “Claude Code,” then pick projects and recent chats.

3. Finish plugin or account sign-ins after import.

4. Open 1 old project and rerun a job you know well.

Claude skills often live in .claude/skills.

Codex repo skills live in .agents/skills, with both words plural.

Not .skills.

Not .agent.

Each skill needs a folder with a SKILL.md file.

AGENTS.md is different.

It stores the rules Codex reads before work, such as your writing style, test steps, and safety rules.

Codex settings live in .codex/config.toml.

It moves instructions, settings, skills, commands, hooks, MCP tools, and recent chats.

It supports Claude Code, not Cowork.

For Cowork, copy files, reinstall plugins, and rebuild tasks in “Scheduled.”

Then, test creating scheduled tasks and the in-app browser, like we talked about above!

RECAP: ChatGPT Desktop Is The Winner BUT…

If I had to choose only 1 reason to switch to Codex, it’s this:

Unified scheduled jobs that use my logged-in browser & computer.

BUT:

• Claude still won on that Linkedin Recruiter task because Codex refused the work

• I still use free tools like n8n for DETERMINISTIC workflows where “heavy intelligence” isn’t required.

• For example, I still have n8n workflows running where I just need Y thing to happen every time X happens - no funny business. Real example: when a file enters this google drive, extract the file’s contents, then send a simple email.

Frequently Asked Questions

Does import delete my Claude setup?

No, the official import leaves your old setup in place.

Where do Codex skills go?

Use .agents/skills/<skill-name>/SKILL.md inside a repo.

Does the importer move Cowork tasks?

No, rebuild those jobs in Codex “Scheduled.”

Should I cancel Claude on day 1?

No, like anything, test it for 1-2 weeks to see which you like better. My content is my observation from testing on my use cases; take it with a grain of salt, always try stuff for yourself!

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

• Comprehensive Analytics

• First Comment for FB + IG

• Comments inbox and API/MCP

• Messaging inbox and API/MCP

• Manychat-style DM automations for FB + IG!

My goal with Blotato:

Build the best affordable tool for business owners who want to automate social media inside ChatGPT, Claude, or Hermes

You get all the above + 20 social accounts for only $29/month.

Just for 20 social accounts, Buffer starts at $100/month.

Analytics

Easily track your top-performing posts across platforms:

Inside ChatGPT / Claude / your favorite AI agent, fetch your analytics and double-down on your winners every week:

PROMPT: Get my top performing posts from last week and remix them into fresh viral ideas

Comments & Messaging Inbox

Now you can manage your comments and messages from Facebook and Instagram in a unified inbox.

Inside ChatGPT / Claude / your favorite AI agent, analyze your comments and DMs:

PROMPT: fetch all the comments from my last 5 instagram posts and tell me what people think & what I should post next

Tell your AI agent to reply directly to comments and DMs:

PROMPT: for all the positive sentiment comments in my last 10 facebook posts, reply to each comment “I’d love to chat!”

Manychat-style DM Automations

Keyword-to-DM flows are not new.

Building them from ChatGPT/Claude/Hermes is.

A DM automation has 3 parts:

1. A trigger, which is either a comment on a post or a DM.

2. Optional keywords, which filter which comments and messages get a reply, matched whole-word and case-insensitively.

3. The message that goes out, with up to 3 link buttons.

Here’s an example where viewers comment “psychology”, then they automatically get a DM with my prompts. DM automations are awesome for growing followers, lead generation, and email capture.

Claude & ChatGPT can now automate ALL OF THIS…

on Facebook & Instagram 😳

Here’s how it looks inside Blotato:

Everything is synced with ChatGPT, Claude, Hermes, or your favorite AI tool.

So, AI can create, edit, and get stats for your DM automations.

PROMPT: walk me through how to setup blotato DM automations

ChatGPT Setup

• Open ChatGPT Desktop (Codex)

• Go to Settings > Plugins > MCPs > Add Server

• Click “STREAMABLE HTTP”

• URL: https://mcp.blotato.com/mcp

• Headers:

  • blotato-api-key

  • grab your API key from Settings

• Start a new ChatGPT chat

• PROMPT: “What social accounts do I have connected?”

Claude Setup

• Open Claude.ai or Claude Desktop

• Go to Customize > Connectors > Add Custom Connector

• Name: Blotato

• URL: https://mcp.blotato.com/mcp

• Start a new Claude chat

• PROMPT: “What social accounts do I have connected?”

Not Sure Where To Start? 👇

I’ve organized my best trainings below:

• New to ChatGPT & AI?

• Writing good prompts?

• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

Subscribe to Youtube

I sat down with Paula Rojas, a litigation lawyer in Chile, and she showed me something I have not seen from any other lawyer.

She built a team of AI agents inside her law firm. She named them. Alfred, Toby, Clara, Alma, Hugo, Mateo, Sofía, Marcela.

She has NO tech background. None.

She learned this on YouTube after coming back from maternity leave.

Who this is for: lawyers drowning in repetitive case work, and any business owner who keeps hearing “AI will replace your team” and wants to see what a REAL operational business workflow looks like instead.

Send this one to a lawyer friend.

They will thank you.

Meet Paula Rojas

Paula Rojas is a partner at Rojas & Cía, a family law firm in Chile. She works with her father and 2 uncles.

Her team defends companies in labor law.

Right now they have about 200 active cases.

She is also president of the board at Casinos Marina del Sol, a large Chilean company.

So how did a lawyer with no coding background end up in Claude Code?

She had her second baby. She came back from maternity leave, and the firm was in a rough spot. People had quit. People were sick. Teams were shifting.

She started working 8am to 8pm, every day.

“If I keep going like this, I’m going to miss all of my babies’ smaller years.”

So she went looking for another way. AI was blowing up right at that moment, and she started teaching herself on YouTube.

She started with ChatGPT, moved to Claude, and now she vibe codes apps. When she pulled one of her tools up on our call, I thought it was a real website until I saw “localhost” in the URL bar.

Her whole approach fits in one line:

If you wait until you’re ready, you’ll never start.

Jump in. If you make a mistake, it’s a mistake. It’s learning.

And now the AI agent team. Paula built it in about 2 weeks.

• Alfred is her chief of staff. He triages her email, watches the money flow for the firm, and hands her 2 briefings a day, morning and afternoon. He files newsletters away and only surfaces what needs HER.

• Toby keeps notes and memory, so the team stops repeating the same mistakes.

• Clara is the case-tracking agent. Court notifications land in Paula’s email automatically, and Clara goes to the court website, looks the case up, and flags anything important.

• Alma is the productivity agent. She breaks big projects into small pieces Paula can attack, and she’s connected to Paula’s Notion task database.

• Hugo handles family finances, kept separate from the firm’s money.

• Mateo is the drafting agent. When Clara spots a deadline, Mateo drafts the filing.

• Sofía is the research agent. She pulls case law through Trifolia, a Chilean legal AI connected as an MCP, and feeds it to Mateo.

• Marcela handles content for the AI classes Paula teaches to other lawyers.

Litigation is PULL, not PUSH. Clara tells Paula what happened, but Mateo and Sofía only run when Paula asks.

And nobody does anything irreversible alone.

Anything that leaves the building, filing, sending, publishing, paying, needs Paula to approve it.

She said something about this that stuck with me:

“I never thought in a million years I would be working in Claude Code. Never. But I just dared.”

Now let’s go through the 3 use cases she walked me through, live.

1. A New Lawsuit Lands: 1 Hour Down to About 5 Minutes

Here’s the pain.

A client emails the firm: we got sued, help.

Attached is the lawsuit and the judge’s first order, which sets the date of the first hearing. The firm has to answer 5 days BEFORE that hearing.

Now a human has to read all of it. Who’s suing? Why? What are the facts? What are they asking for? How much money is on the table? How bad is the risk?

Then that person types all of it into the firm’s system, sets the calendar deadlines, and files the case.

Time: about 45 minutes to 1 hour. Every single time. With 200 active labor cases.

Paula built a Claude skill for it.

A skill is a set of instructions you write ONCE, so Claude does the same job the same way every time. Think of it as training a new hire, except you only train them once.

Here’s what her skill does when she sets it off:

1. Reads the lawsuit and the judge’s first order.

2. Pulls the legal analysis: type of procedure, the court, the case number, who’s suing, which company is being sued, the facts, and the amounts.

3. Goes to Chile’s official holidays website and counts the deadline, because holidays do NOT count as days.

4. Writes everything into the firm’s Notion databases, their second brain.

5. Stops and asks Paula for anything it couldn’t find.

6. Gives her a list of documents to request from the client, like the employment contract and salary records.

Here’s the skill mid-run. It has both PDFs loaded, and it’s pulling the Chilean holiday calendar to get the deadline right:

The whole thing runs in about 5 minutes. Then a lawyer checks it, which takes another 5 to 10 minutes.

1 hour of manual work, replaced by 5 minutes of AI work plus 5 to 10 minutes of human review.

The deadline math was the hardest part, and I love that she was honest about it.

The count runs BACKWARDS. You start at the hearing date and count 5 days back, skipping holidays. If a holiday falls in the middle, 5 days becomes 6.

That’s where Claude made the most mistakes. She’s still tuning it.

Right now it gets about 9 out of 10 right, and the human check catches the 10th.

Also notice what the skill does when it isn’t sure: it says so.

“If it’s not sure, it’s not going to state anything as a fact.”

Why this is the RIGHT kind of first project

Paula picked labor lawsuits on purpose. They’re all similar to each other, so the pattern was easy to teach.

And her advice for lawyers starting out is the opposite of what most people say.

The standard advice is: pick high impact, low effort.

She pushed back on that.

“When you’re first starting with AI, you need quick wins.

Things that teach you where you’re going to gain practice.”

So start with a few tasks that are easy, even if they’re small. Build confidence. Learn how the system behaves.

THEN go after the big ones!

Her method for finding them: map out every repetitive process in your firm. The stuff you do every day that eats time and adds no value.

Those are your first automations.

Walk away with: A list of your 5 most repetitive weekly tasks, ranked by how boring they are. Start at the top.

Subscribe to my Youtube and hit the “notification” bell

So that you never miss my free trainings 👇

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2. Court Filings That Sound Like HER, Not Like AI

The second skill writes filings to the court.

Paula demoed a small one live.

Her client was being evicted, and the court order listed the wrong address. She needed to tell the court.

She gave Claude a short prompt. That’s it.

No long explanation of the case.

It came back with a Word document that had her name, who she represents, the case name, the case number, the correct court number, the formal way Chilean lawyers address a court, and the actual argument.

Here’s the draft it produced, sitting next to Claude’s own notes on what it chose NOT to do:

Read the left side of that screen. Claude flags that it did NOT cite any articles, because it refused to invent one, and asks her which article to add.

That’s the behavior you want. Not confidence. Receipts.

She’s used the same skill for appeals over 20 pages long.

Her drafts used to come back about 70% good.

Now they come back about 90% good.

The 10% she still fixes herself.

How she organizes her files for Claude Cowork

This is the question I get more than any other…

Her answer: mirror folders.

1. Keep your real client documents in your normal folder, untouched.

2. Make a SECOND folder just for working with Claude.

3. Copy the documents over, and as you copy, strip out the sensitive stuff. Names, ID numbers, social security numbers, addresses.

4. While you’re at it, convert the files to markdown. Markdown is just a plain text format, and Claude reads it faster and cheaper than PDFs.

5. Write a little map file of the folder, so Claude reads the map first instead of hunting through every document.

That last step saves real money on tokens.

For the actual anonymizing, she uses Adobe on PDFs, or she copies the Word file and deletes the names by hand. Not fancy. It works.

Each case folder also holds a short markdown brief she writes herself: who her client is, which court, the case number, her position, and her strategy.

That’s why her prompts are so short.

The context is already sitting in the folder.

The 2 things that make a skill good

I asked her the key step.

What makes a skill produce something that reads like a formal legal filing instead of AI slop?

She gave me 2 things.

First, teach it how YOU write. She fed Claude a pile of filings she’d already written, in her own voice, and had Opus analyze them. How does she present facts? How does she build arguments? How does she structure an idea?

Second, be obsessive about the details. Down to whether you like a comma or a semicolon. Down to the words you NEVER use.

“This is your judgment that’s going to be written into a skill.”

Then she said the thing that made me sit up.

Lawyers have an unfair advantage at building AI skills, because their entire job is using language to convince someone who has no interest in your problem.

If you can describe exactly what you want, in detail, in plain language… you’re already good at building skills.

That’s a human skill, not a tech skill.

Her workflow for a real filing looks like this:

1. Point Claude Cowork at the case folder.

2. Say what kind of filing it is and roughly what her strategy is. “Argue 1, 2, 3, 4. Number 4 matters most because of X.”

3. Ask for a PLAN first, not a draft. Go back and forth until the plan is right.

4. If she needs case law, Sofía pulls it through Trifolia, a Chilean legal AI wired in as a connector, WITH links so Paula can verify the case exists.

5. Only then does she say: okay, now use the skill and write it.

Planning a 20-page appeal took about 5 minutes.

Walk away with: A mirror folder for 1 client, with a map file at the root and a 1-page markdown brief on the case.

3. The Court Schedule Check (Playwright MCP)

This is my favorite one.

In Chile, some cases have to be argued out loud in front of the appeals court or the Supreme Court. The schedule for next week gets posted online Friday at 6pm.

Friday. 6pm.

The exact moment every human on earth wants to close their laptop.

So somebody on Paula’s team spends 40-60 minutes typing more than 100 case numbers into a court website, one at a time, checking whether any of them are on next week’s board.

Low value. High risk. If you miss one, you don’t show up, and you failed your client.

The court system in Chile does NOT like anything automated on their site.

So this one was hard.

Paula built it anyway. It took her 6 weeks, and here’s the funny part: the schedules only go up on Fridays, so she could only work on it on Fridays.

6 Fridays.

Here’s how she got it working, and this is the part any beginner can copy:

1. She dictated the manual process, step by step. She described exactly how a human finds one case. Every click. Every field. In detail.

2. She let Claude look at the site. She gave it permission to open Chrome and explore the court website until it understood the layout.

3. She had it test on a few cases first, not 120.

4. Then she scaled up, and it broke. It kept crashing. The court website kept kicking it out.

5. She added Playwright MCP. She’d heard someone mention Playwright on TikTok and figured she’d give it a shot.

Playwright MCP is a connector that lets Claude drive a real browser the way a person does. Click, type, wait, scroll.

That fixed it.

“It actually mimicked how a human would be clicking and writing. That worked really well.”

Now she hits one button on a small dashboard she built, and Claude works through the case list, which lives in a Google Sheet.

Notice the URL: localhost.

She vibe coded that.

For each case it reports which court, which day, and the position on the board. In Chile you also need to know WHO is in charge of your case, because being on the board doesn’t guarantee your case gets heard that day.

Results so far: no mistakes.

And it once found a scheduled hearing the MANUAL check missed.

She still runs the human check alongside it.

It’s too critical not to.

That’s the pattern I want you to internalize: automate the tedious part, keep the human strategy and human check, and let AI catch what the human misses.

AI hallucinations

Chile has already had about 5 known cases of lawyers filing documents with AI hallucinations in them.

I asked Paula for her take, because she teaches this to other lawyers.

“The more you trust an AI tool, the more tempted you are to stop using your own criteria.”

Her rule is simple, and it isn’t new.

If your signature goes on the paper, you’re responsible for every word on it. If you don’t understand it, or you haven’t checked it, you don’t submit it.

That was ALWAYS true. When a junior lawyer handed you a draft, it went out with your name on it, so you read it.

AI changes nothing about that.

Then she told me about Brazil, and my jaw dropped.

Brazilian courts use AI to help judges draft the reasoning sections of rulings. So a couple of lawyers filed a labor case with hidden instructions inside the document. White text on a white background, aimed at the judicial AI, telling it to ignore the other side’s arguments and review the file lightly.

That’s prompt injection. In a court filing. On purpose.

The good news: AI flagged the hidden message to the judge.

This wasn’t a mistake.

It was malicious.

And we’re going to see more of it.

She wants courts to build protection BEFORE the damage, not just punishments after.

But she doesn’t want any of this to scare lawyers away from AI.

Chile has roughly 1.2 million civil cases sitting open, undecided. About 700,000 new ones started in 2025. Only about 100,000 closed.

A huge chunk are cases that are nearly identical to each other, with a standard process.

If people want justice done faster, AI is a huge help.

Fear should not get in the way of that.

What She’s NOT Doing

I asked whether the goal was to shrink the team.

Her answer was immediate.

No.

She hired most of those people herself.

She loves working with them.

“I don’t need any more data entry.

That’s not the value I’m going to get from them.”

What she wants is time. Time for her lawyers to be lawyers. To think strategically, to find the one case that wins the argument, to build client relationships.

This is exactly what I tell business owners.

Stop trying to replace a whole department. That’s really hard, and mostly it doesn’t work.

Instead find the 30-minute task you do 5 times a week, and get it to 5 minutes with a human check on top.

Stack enough of those and it changes the whole company.

RECAP

Your AI Leverage = Your Judgment x How Clearly You Describe It

Your Judgment is the part only you have. The strategy, the standards, knowing what to focus on vs ignore.

How Clearly You Describe It is the part you can improve today, for free, by writing your process down in detail.

Here’s what Paula proved:

1. Zero tech background is not a blocker. She learned on YouTube, on Fridays, with 2 kids at home.

2. Start with the boring, repetitive, low-risk stuff. Quick wins teach you the system.

3. Skills beat prompts. Write the instructions once so the output is the same every time.

4. Feed it YOUR past work. That’s how a draft goes from 70% to 90%.

5. Organize the folder before you blame the AI. Mirror folders, stripped names, markdown, plus a map file.

6. Keep the human check on anything critical. Hers caught a mistake. And the machine caught one the humans missed.

7. Your signature, your responsibility. That rule existed long before AI.

The tools took her 6 weeks of Fridays.

Meanwhile, the judgment spans her entire career.

Pick 1 repetitive task this week.

Write down exactly how you do it, every step.

That document IS your first skill.

FAQ

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

No. Paula has zero tech background and learned on YouTube. She describes what she wants in plain language and asks the AI to teach her the rest.

What is a Claude skill?

A set of instructions you write once so Claude performs the same task the same way every time. Paula has one for processing new lawsuits and one for drafting court filings.

How do I keep client data private when using AI?

Use mirror folders. Keep originals in your normal folder, copy documents into a separate working folder, and strip names, ID numbers, and addresses as you copy. Paula uses Adobe for PDFs and manual edits for Word files.

What is Playwright MCP and why did she need it?

Playwright MCP is a connector that lets Claude control a real web browser like a person does, clicking and typing. Paula’s court website kept blocking her automation until she added it.

How much time does the lawsuit intake skill actually save?

The manual process took 45 minutes to 1 hour. The skill runs in about 5 minutes, plus 5 to 10 minutes of lawyer review. It gets about 9 out of 10 deadline calculations right, so the human check matters.

Is it safe to file AI-drafted documents with a court?

Only if you read and verify every word first. Chile has already seen about 5 cases of lawyers filing hallucinated content. If your signature is on it, you own it.

Where can I follow Paula?

She teaches AI to lawyers on LinkedIn.

Not Sure Where To Start? 👇

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• New to ChatGPT & AI?

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• Fundamental AI skills?

• How to improve my resume?

• How to make money with AI?

• Want to learn Claude Cowork?

• Want to learn Canva + Claude?

• Want to learn Claude Code?

• How to get 100 customers?

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