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08 — Execution

An AI PRD looks different from a classic PRD. Timelines are less certain, cross-functional collaboration is more complex, and “done” is a moving target. This chapter gives you the tools for the AI product day-to-day.

  • How to write AI-specific PRDs (eval criteria, data needs, model requirements)
  • What the AI product lifecycle looks like (different from traditional software)
  • How to collaborate with Data Scientists and ML Engineers
  • What Data Quality means for AI products
  • How to adapt Agile for AI projects
  1. AI PRDs
  2. Lifecycle
  3. Cross-functional
  4. Data Quality
  5. Agile for AI
  6. Synthesis

Part of AI Learning — free courses from prompt to production. Jan on LinkedIn