Building AI Products

Show notes

What you’ll learn in this episode:

  • The difference between an AI-powered product manager and an AI product manager
  • Why prompt engineering for a product is different from prompting ChatGPT for personal use
  • The role of prompt decomposition and orchestration in building robust AI features
  • How to think about system design, risk mitigation, and cross-functional collaboration
  • Why observability and logging traces are critical for LLM products
  • The challenge of evaluating non-deterministic AI features (and why “thumbs up/thumbs down” isn’t enough)
  • How to decide when AI is the right solution for a customer problem
  • The hidden cost of ongoing maintenance for AI features

Resources & Links:

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