Hi Reader,

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

Each week, we'll share practical frameworks, founder stories, and product updates to help you build faster.

Javier's Insights:

Everyone's obsessed with writing better AI prompts, but there's a better way to use AI at work or when building AI products.

The problem I see constantly? People have nothing to prompt with.

You throw a question at ChatGPT and get a mediocre answer. So you tweak the prompt a bit. Rinse and repeat.

But AI has zero context about your actual work. It doesn't know how you closed that tough account last quarter. It doesn't know the weird issue your team spent days fixing. It doesn't know the lessons you learned the hard way.

So you get generic outputs—every time.

The fix isn't better prompts. It's better notes.

At Hal9, we started documenting everything:

• What we learned
• What was hard
• Opportunities we spotted
• Problems we hit

All of it goes into notes that we feed back to AI later.

Here's how it plays out:

1) Engineering wins become repeatable: One of our engineers hit a nasty bug that took forever to solve. He wrote down exactly how he figured it out. Now when similar issues pop up, we feed those notes to AI and it helps us debug way faster.

2) Deal patterns become playbooks: Someone closed a tricky contract by doing something specific that unblocked everything. That's documented now, so next time anyone's in a similar situation, AI can pull from that real experience instead of giving generic advice.

Your work experience is data. If you're not capturing it, you're leaving a ton of value on the table.

Stop obsessing over prompt engineering. Start documenting what you actually know.

Are you taking notes, or just hoping you'll remember it all later?

Customer Success Story: HYPD

From No-Code Prototype to Production-Ready Event Platform in 30 Days

HYPD is connecting people with authentic local experiences by highlighting events and small businesses in their neighborhoods. After validating their concept with a no-code prototype, founder Harrison Rolfes needed to move fast—building a scalable, investor-ready platform before their launch window closed.

The Challenge: Transition from proof-of-concept to a polished MVP that could support real users in Seattle and San Diego, impress investors, and lay the foundation for AI-driven curation—all within an aggressive 30-day timeline.

Hal9 helped HYPD:

• 🚀 Build a dynamic web application for event discovery in just 30 days
• 🎯 Launch with curated events across Seattle and San Diego markets
• 💼 Create an investor-ready platform that strengthened fundraising pitches
• 🏗️ Architect a scalable foundation for future AI-powered curation features

The result? HYPD launched with a polished platform that attracted early users and helped secure funding. The exceptional UX design became a key asset in Harrison's investor presentations, while the solid technical foundation positions HYPD for seamless integration of AI curation as they scale.

"We proved the concept with a no-code MVP. To build the scalable, real-world version at the speed we needed, we partnered with Hal9." — Harrison Rolfes, Founder @ HYPD

Let's Talk

Book a quick call 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