What You’ll Learn in This Episode
- Why most AI outputs fail without proper context
- How to think of AI like onboarding a new intern (and why that matters)
- Practical first steps for product leaders: decision logs, success metrics, and structured documentation
- How to balance giving AI enough context without overloading it
- The parallels between giving context to teams and to AI systems
Key Takeaways
- AI needs more context than you think. Treat it like a new teammate who doesn’t know your company history, industry, or strategy.
- Start small now. Even if your org isn’t adopting AI yet, you can prepare by documenting decisions, goals, and guardrails in machine-readable ways.
- Not all context is helpful. More isn’t always better—focus on giving AI the minimum effective context to perform well.
- Leaders already do this. The same way you create strategic context for your teams, you’ll need to do it for AI agents.
Resources & Links:
Mentioned in the episode:
