How I'm Using AI to Build a Product (And the System That Finally Works)

Day 143+ of building in public.

I want to show you what's actually happening behind the scenes.

Not the polished version.

The real backend of how I'm creating a product with AI as my co-founder.

The Problem I Kept Running Into

Here's something nobody talks about when they say "use AI to build your business."

AI forgets.

I'd have these amazing conversations with Claude. Deep strategic sessions where we'd figure out my product structure, my offer, my positioning. Real breakthroughs.

Then I'd start a new chat and... gone. All of it. I'd have to re-explain everything from scratch. Who I am. What I'm building. What we decided last time.

It was killing my momentum.

I tried saving transcripts. I tried writing summaries. I tried copy-pasting context at the start of every chat. Nothing worked consistently.

So I built a system.

The System That Actually Works

Here's what I do now.

Every 2-3 days, I create a handoff document.

It's everything Claude needs to know - my product status, my current challenges, what we accomplished, what's next. No detail lost. No context lost.

Then I start a fresh chat with that document.

Why every 2-3 days? Because long conversations get messy.

• Claude starts forgetting things from earlier in the same chat.

• The context window fills up.

• Quality drops.

Short focused sprints with clean handoffs. That's the move.

I also use Claude Projects now. I dump my reading notes, my book highlights, my Space transcripts, everything into one project. Claude can search through all of it when I ask questions.

It's like having a co-founder who remembers everything that we're building.

How I Turn Reading Into Product

I read every single day. 60 minutes minimum. Non-negotiable.

Right now I'm going through Co-Intelligence by Ethan Mollick. It's about how to actually work with AI - not just prompt engineering tricks, but the real mental models for human-AI collaboration.

Here's my extraction system. I call it 1-1-1.

For every concept I read:

• 1 Highlight (the key quote or idea)

• 1 Insight (what it actually means)

• 1 Action (what to do with it)

Then I take those extractions and feed them to Claude. We format them into product module content together.

One chapter becomes:

• Learning for me

• A Space topic I can teach

• 10-15 social posts

• Actual product content

Same input. Four outputs. That's leverage.

What I Learned This Week About AI and Work

Mollick's book had some insights that genuinely changed how I think about this.

First - AI hits knowledge workers (like us) the hardest.

Not factory workers. Not truck drivers. The people most exposed to AI are highly educated, highly paid, creative professionals. College professors. Consultants. Writers.

If you have a "safe" white-collar job, you're actually more exposed than a roofer or a dancer. Physical jobs are protected by the fact that robots still can't move well in the real world. Knowledge jobs have no such protection.

Second - jobs are bundles of tasks.

"Will AI replace accountants?" is the wrong question. Accounting is dozens of tasks. AI will take some (data entry, basic analysis) and not others (client relationships, judgment calls). The job title stays. The task mix changes.

Third - and this one hit hard - high-quality AI makes humans lazy. There was a study where recruiters using better AI made worse hiring decisions than recruiters using crappy AI. Why? The ones with good AI stopped thinking. They just accepted whatever the AI said.

The better the tool, the more you have to force yourself to stay sharp.

I think about that every time I work with Claude now.

I can't just accept the first output. I have to push back. Iterate.

Add my own thinking. Otherwise I'm just outsourcing my brain.

What I'm Building

I'm creating something called AIOS - the AI Operating System.

It's for people who know AI matters but haven't figured out how to actually use it to build something real. Not just playing with ChatGPT. Actually creating systems that generate revenue.

The product has three parts:

• LEARN: AI teaches you the concepts (personalized to your goals)

• PRACTICE: AI gives you exercises and grades your work

• CREATE: AI helps you build your actual system

I'm about 40% done. Launch is March 1st.

Every day I'm reading, extracting, hosting Spaces, talking to potential clients, and turning all of it into product content. It's a lot. But I have a system now.

The Real Win

Honestly? The biggest win this week wasn't some breakthrough insight.

It was just showing up. Day 120. Day 121. Day 122.

Most people quit by week 2. I'm still here.

The product is getting built. The Spaces are happening. The conversations are leading somewhere. Progress is slow but it's real.

That's the game. You just keep going.

If You Want Help

I'm working with a small number of people right now who want to build revenue systems online.

If you're stuck in consumption mode - reading, learning, joining Spaces, but not actually building anything that makes money - I might be able to help.

No pressure. Just reply to this email and tell me what you're working on. I'll tell you honestly if I can help or not.

Talk soon,

Vaibhav