How to Win With AI in 2026

For business owners who want to build real income with AI in 2026, NOT play with toy prompts

Sabrina Ramonov 🍄

May 18, 2026

1. The AI Urgency Curve

You’ve heard it 100 times…

“AI will never be worse than it is right now.”

True.

And most people STILL don’t act on it.

I went from 0 to 2+ million followers SOLO and thousands of paying customers SOLO, literally building this playbook in realtime while most people were still debating ChatGPT vs Gemini.

The compounding gap: every month you wait, the people who started BUILDING and putting themselves out there gain another month of leverage
The intimidation trap: most people stall because they think AI means “technical”. It’s not.
“I’ll learn it later”: AI isn’t a single skill you pick up in a weekend. It’s a STACK you build over months

Most people in your industry haven’t even tried Claude. The advantage is HUGE if you start now.

So here’s the first thing to do.

Open ChatGPT or Claude. Paste this prompt:

List 3 ways AI puts my income at risk in the next 24 months.
Then list 3 AI skills I should learn THIS month to stay ahead.

2. The AI-First Business Window

There has NEVER been a better time to build an AI-native business.

I prefer “AI-native” over “AI-first.”

Native means you architect the company assuming AI plays a productive role in every department from DAY ONE.

Not “we’ll bolt AI on later.” Native.

Now think about a big company with 5,000+ employees. My first startup was acquired by one. I was a Director Product Management there. I loved the people, but it’s enterprise. It moves SLOWLY.

Even when something is “fast” it takes weeks of meetings, approvals, trade-offs, politics, stakeholder updates.

Combine your tiny company + AI = lightning speed.

Speed is your only advantage: tiny companies don’t have brand, resources, or people. They have speed. AI multiplies this.
The feedback loop wins: 10 variations, tested fast, double down on winners, kill losers, repeat. AI compresses this loop from weeks to hours.
Anthropic’s growth team is 1 person: he runs AI agents to analyze ads, generate creative, deploy variants, AB test, repeat
AI-native startups hit $100M ARR in <18 months: Cursor, Lovable, Higgsfield. The old Silicon Valley playbook took 5+ YEARS to hit those numbers. Anthropic growing 80x in Q1 2026 BLEW EVERYONE’S MINDS in Silicon Valley.
Revenue per employee jumped 10x: Buffer has hovered around $250K/employee for years (high end for SaaS). Recently they cracked over $300k+/employee. However, AI-native companies are doing, on average, around $2 million revenue per employee.

This 10x didn’t exist 5 years ago. I’ve been in the startup world since 2013. I assure you it didn’t.

This is why I’m so passionate about teaching entrepreneurs.

If I taught big companies, sure I’d help them make/save BILLIONS of dollars. BUT the gains do NOT trickle down to employees… you’re an item in a spreadsheet.

But if YOU build for yourself, you keep the GAINS.

How many people’s lives would change with an extra $10k/month?

And once you hit $10k, you realize you can probably grow the thing to $100k per month.

You + AI = lightning speed compounding into REAL revenue.

3. Stack Skills, Stack Leverage

Every skill you stack into AI gives you DISPROPORTIONATE leverage over competitors who haven’t figured it out yet.

Think of it as a staircase:

Level 1, Prompts: basic prompting. Most of my short-form tiktok/instagram content is this. Still valuable for beginners.
Level 2, Context: structured projects with persistent context, instructions, knowledge files
Level 3, Tools / MCP: connecting AI to your real systems (Gmail, calendar, CRM, support, deelopment, etc)
Level 4, Proactive agents: scheduled tasks, webhooks, agents running 24/7 without you, monitoring proactively

Most people are STUCK at Level 1.

If you’re reading this newsletter, you’re MAYBE at level 2 or 3.

We’re a tiny bubble inside a bubble. Most of the world hasn’t even tried Claude. And inside this tiny bubble, most people don’t even know Level 3 exists.

The opportunity for AI education is massive.

Here’s a REAL example from my startup.

I built an AI support agent running 24/7. It has access to help docs, customer logs, and tools to perform actions (i.e. cancel subscriptions, restart subscriptions, apply discounts).

It handles roughly 70% of support tickets while I sleep. Far from perfect, but it’s enabled me to scale to 1000s of paying users.

But it’s not 1 agent. It’s multiple agents working together:

Primary agent: reads tickets, searches help docs, drafts replies, sends responses, identifies documentation gaps, suggests features and help doc improvements
Cleanup agent: closes tickets where confidence is above 96%
Adversarial agent: double-checks the cleanup agent’s work and re-opens tickets it thinks were closed prematurely

This is what Level 3 + Level 4 looks like in practice.

Now here’s the simple version YOU will do today:

Open Claude. Go to customize in the left sidebar. Click Connectors. Connect Gmail.

Then ask:

Summarize my unread emails and flag what needs a reply today.

Boom. You did Level 1, 2, and 3 in 5 minutes.

It’s not hard per se.

But it’s confusing amidst all the hype/noise.

To hit Level 4, go to Schedule in the left sidebar and tell Claude to send you a daily email brief at 7am.

Done. You’re further along than 99% of “AI users”.

Prompts.
Context.
MCP/tools.
AI agents.
This is the order in which to learn practical AI.

4. Workflows, Not Roles

Stop thinking in ROLES.

Start thinking in WORKFLOWS.

This is where most people get stuck.

They ask “how do I use AI to do sales?” or “how do I replace my support person?”

And it feels overwhelming because a sales person or support person does MANY discrete tasks.

Instead, break the role into concrete tasks.

A support person doesn’t “do support” They:

Read the message
Search for relevant info
Draft a reply
Review the reply
Send the reply
Escalate to a human when stuck

Now you have 6 discrete steps. Each one is a candidate for AI.

Here’s the exercise:

Pick a task you do every week.
List every single step. Be specific.
Paste the list into Claude.
Ask: “Which steps will AI handle today, and what tool do I use for each one?”

Done. AI will tell you where the leverage is.

If you stall on listing the steps, ask AI to interview you:

Interview me to figure out what I do every day. Ask me one question at a time.

It’ll make the list for you.

Stop using AI to “replace a person”.

I know you see this message on instagram/tiktok/youtube, but 99% of the time, these are clickbait hooks we use because they get you to pay attention for 3 seconds.

Use AI to replace a TASK.

A role is 20 tasks stacked together, and you’ll eventually learn which tasks SHOULD be handled by a human, which tasks should have human oversight, and which tasks can be safely automated by AI with high reliability (hint: nowhere near 100%).

5. The TCCA Prompt Stack

Train AI the way you’d train a person.

Most people prompt AI like they’re Googling. One sentence. No context. No constraints.

Then they wonder why the output feels generic.

TCCA fixes this:

T = Task: the thing you want done (“write me an email”)
C = Context: who, what, why (“reply to a customer who trialed for 14 days and didn’t convert”)
C = Constraints: the rules (“under 100 words, no em dashes”)
A = Ask: ask me clarifying questions BEFORE you start

The Ask is my favorite because I’m lazy and forget acronyms.

AI just asks me what’s missing.

And it forces me to think; this is a GOOD thing btw.

Here’s a complete TCCA example:

Task: Write a follow-up email to a customer.
Context: They trialed Blotato for 14 days and didn’t convert. They used the product 3 times in week 1, then stopped.
Constraints: Under 100 words, no em dashes, must mention they have an option to extend the trial.
Ask: Ask me clarifying questions one at a time until you’re 95% confident in your answer.

The output is 10x better than “write me an email to a customer.”

Here was Hormozi’s example:

He gave AI 12 rules and 16 writing samples for his email copy. Result was 5x better than “write this email.”

Action step:

Pick your most-repeated weekly task
Write it out using TCCA
Paste it into Claude
If the output is good, save it as a reusable skill or GPT
Next time you do this task, open the skill

You stopped repeating yourself. This is leverage already.

The right prompt isn’t a magic spell.
It’s a job description.
Write it like you’re hiring someone.

6. The Last Human Moat, Bet On Yourself

This was really interesting. Hormozi’s point: the last valuable thing a human gets paid to do is take RISK.

You either go all-in on AI-native and build something doing millions in revenue per employee… or you focus on businesses where the human element won’t be removed (live events, hospitality, certain services).

My take: bet on YOURSELF.

I’m passionate about teaching AI to individuals, NOT big corporations. Because big-company gains don’t trickle down to you. I’ve worked at one. You’re an item in a spreadsheet. They will lay you off whenever they want, and companies aren’t built to care. That’s not how the corporate incentive system is structured.

But if you build your own income streams, every dollar lands in YOUR control.

The skill compounds: build one business and you’ll be able to build another. The skill of building > the business itself. Most people get this wrong and violently spiral in stress, unable to choose the ONE PERFECT business they should start. The reality is you can change your business, you can sell your business, you can start a different business. It’s actually all about YOU and building up your skills/confidence.
You don’t need a team to start: deploying AI properly, you can scale to revenue levels that previously required a big team. This is not to say you’ll never hire. In fact, I’ve recently started hiring for Blotato even though I could keep growing it solo. The point is - the choice is yours.
You don’t need permission: no boss, no board, no investors. You + AI native stack + a problem to solve. I honestly hated having investors, even though I had no problem with them as people. But my life now is 1000x more fun than when I was Founder/CEO of a VC-funded startup… AND I make so much more money. Weird.

Hormozi shared a story about his friend spinning up a division inside his own company with one mission… put the larger business OUT of business.

Cool challenge. But I’d argue the gains still go to the company.

I encourage you to bet on yourself.

BUT REMEMBER:

Pick where you START.

You are not picking where you END, so stop being a perfectionist!

7. The Daily Task Audit

Every day. Write down what you did.

Find the tasks taking 1 hour today.

Find the ones you’ll compress to 15 minutes with AI.

Across 10 tasks, you’ll get hours back every single day.

Hormozi’s example: “running Facebook ads” isn’t a task. This was a fun example because I recently learned Facebook ads from the amazing Mitch Barham.

Break it into:

Campaign setup
Budget allocation
Performance analysis
Creative generation
Copywriting
Landing pages
Headlines

Now each task is something AI can help with.

I recently ran bottom-of-funnel Facebook ad campaigns and made 3 creatives with Nano Banana in literally 10 minutes. One of them does NOT even look like me. They’re all doing well anyway with 3-month payback period (this is considered good for low-ticket Saas).

If I’d tried to make those in Canva, each would’ve taken 2 hours. With Nano Banana, 2 minutes each. Personally, I’m HORRIBLE at design and thinking in layers. I mean, look at this newsletter :D

This is the compression Hormozi is talking about.

And for copywriting (which I’m BAD at because it feels salesy to me), I had Gemini write a churned-user reactivation campaign based on one of the best copywriters in business.

Then I asked it WHY its version was better than mine.

It explained: mine describes the tool, the copywriter version harps on emotion.

AI was teaching me, while helping me streamline my work.

Your goal is NOT to automate everything.
Your goal is to compress 30 minutes into 2 minutes.
Then do this 10 times.

RECAP

The window is NOW. AI compounds. Waiting costs you.
AI-native businesses are architected to do millions in revenue per employee. Build yours this way from day 1 by stacking…
Stack skills: prompts, context, tools, proactive agents. Most people are stuck at step 2.
Workflows, not roles. Break the role into discrete tasks. AI won’t be able to handle all, but that’s ok.
TCCA: Task, Context, Constraints, Ask. Write prompts like job descriptions.
Bet on yourself. The last human moat is risk. Take it for YOU, not your employer.
Daily task audit. Find 30-minute tasks you do every week. Compress each to 2 minutes. Repeat. This leverage compounds.

This is the RIGHT way to use AI in 2026.

P.S. Need More Help? 👋

1/ Free AI courses

2/ Free AI prompts

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4/ Free AI vibe coding

5/ Ask me anything @ Friday livestream

6/ Free private community for Women Building AI

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

Sabrina Ramonov 🍄

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