Playbook
AI Builder Playbook
Ship AI products that survive contact with real users
6 skills 138 insights
Who This Is For
Target Audience
PMs and engineers building LLM-powered products
Stage
Any company adding AI
When to Use
You're deciding where AI belongs 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.
1. Strategy
Decide where AI genuinely helps and validate before building.
2. Build and Evaluate
Prototype fast, define requirements as evals, build with agents in the loop.
AI-Assisted Prototyping
Rapid prototyping is essential to develop product taste and avoid building incoherent features that...
View Skill → →AI Evaluation Strategy
The competitive advantage in AI products is not speed to launch, but the ability to build infrastruc...
View Skill → →Building With AI Agents
High-velocity development requires shifting focus from just writing code to building robust AI-drive...
View Skill → →3. Design the Experience
AI-native interaction patterns, not a chatbot bolted on.
Common Mistakes to Avoid
- Adding AI because the board asked
- Shipping without evals and debugging from anecdotes
- Chat as the default interface for everything