The Secret Weapon for Personalized AI Coaching?

Let’s get real.

Every founder right now is asking the same question:

“How do I build a hyper-personalized AI product… that actually works?”

Not just a chatbot with nice vibes.

But an AI that understands your user’s beliefs, learns from their choices, and adapts like a real coach would.

An AI that gets your user to their target outcomes, step by step through every interaction.

In this week’s ABCs for Building the Future episode, we give you raw build in public updates on what we’ve learned and what we’ve done.

No script. No prep. Just real-time product review and philosophy in motion.

What we built:

The SDK Playground — a tool for developers building AI coaches that personalize in real-time.What we uncovered:

To create AI that actually resonates, you need to model the user’s beliefs and track how they evolve. Period.

“If we don’t understand ourselves, how can AI understand us?” — Robert Ta

Jonathan walks us through the new belief evaluation loop using synthetic conversations, cohort filters, and deep eval integrations — all while answering the key design question:

How do we teach an AI coach to learn what matters about a user?

Have fun (:

Key Takeaways:

* A belief system is the new user model. Track beliefs, not just behavior.

* AI that recommends the right thing at the right time must understand the user’s reasoning.

* Epistemic emotions like confusion, belief confirmation, and curiosity are the real alignment metrics.

* Developers need tools that help them build coaches, not just bots.