Playbook

Building AI Products Playbook

Ship AI features that survive contact with real users

6 skills 106 insights

Who This Is For

Target Audience

PMs and eng leads building LLM-powered products

Stage

Any company adding AI to its product

When to Use

You're deciding where AI belongs in your product and how to make it reliable

Key insight

Evals are the new PRD. If you can't state what good output looks like as an executable check, you don't have requirements yet.

Decide where AI genuinely helps and how to work with model capabilities, not against them.

Safely deploying agentic systems requires a graduated approach that begins with human-in-the-loop su...

True product de-risking requires starting from first principles to understand the core problem befor...

Define requirements as evals, prototype fast, and measure quality continuously.

The competitive advantage in AI products is not speed to launch, but the ability to build infrastruc...

The speed of AI-driven engineering requires design to shift from static, long-term theoretical plann...

Long-term holdouts are essential to distinguish between true incremental growth and short-term "pull...

Design AI-native interactions rather than bolting a chatbot onto old UX.

Product managers must bridge the gap between machine optimization and human intent by defining the c...