Hi Reader,

Welcome to Hal9 Weekly — insights from our founder Javier on turning AI ideas into real products.

Javier's Insights:

The Domain Expert Advantage in the Age of AI Automation

Andrej Karpathy just published something every founder should read — a full analysis scoring every job category on its likelihood of being automated by AI.

Almost all of them score high.

Now, that doesn't mean we're all losing our jobs tomorrow. But it does mean something important:

Someone is going to capture the value of automating every one of those jobs. The question is who.

Think about it:

A lawyer who builds a tool that drafts patent contracts for energy companies? That lawyer wins.

A recruiter who builds an AI that screens candidates for niche technical roles? That recruiter wins.

The people who profit from AI won't just be the ones building the models. It'll be the domain experts who automate their own expertise first.

That's exactly who we build with at Hal9 — founders who know their industry deeply and want to turn that knowledge into a product before someone else does.

The window to be early is still open. But it won't stay open forever.

Are you automating your expertise, or waiting for someone else to do it first?

Customer Success Story: MoneyHaven

From Cultural Tradition to AI-Powered Fintech MVP in Under 30 Days

MoneyHaven is modernizing the Latin American tanda — a communal savings tradition — for users in the USA, using AI to help people save smarter together. But they needed to validate whether AI could actually enhance the experience, and they needed to do it fast.

The Challenge: Build a technically functional MVP that tested everything — app interface, backend infrastructure, database connectivity, financial data integration, and the role of generative AI in user interactions — all within 30 days.

What Hal9 delivered:

🏗️ A working prototype web app for defining savings goals, payment cadence, and group configuration

🤖 AI-driven conversational agent for personalized financial guidance

💬 Custom in-app chat feature (after evaluating Telegram and Discord, the team decided native chat was the right call)

⚙️ Backend and database layer simulating real user workflows and financial data flows

The result? In under 30 days, MoneyHaven had a functional MVP that validated their core assumptions around architecture, AI integration, and user experience — giving them a clear roadmap to scale.

"Hal9 helped us turn complex ideas into a working prototype in just weeks. Their platform gave us the speed and flexibility to validate our architecture, explore AI integration, and build a strong foundation for our product." — Fanny Tavera, Founder @ MoneyHaven

Let’s Talk

Got an AI idea/building something and want to chat about it?

Book a free consultation with Javier — he’ll help you validate it before you build, so you don’t lose time chasing the wrong version.

Talk soon,

—The Hal9 Team