AI isn’t magic—but when you understand how to structure your input, it can function like a superpower. In this session, I’ll share how prompting, meta prompting, and even reverse meta prompting have become part of my daily life as a Product Manager working with cross-functional teams. You’ll learn how to create prompts that produce structured, relevant, and context-aware output. We’ll explore meta prompting as a way to refine your thinking before execution, and reverse prompting as a method to debug and stress-test your own inputs.
This isn’t a talk about hype—it’s about how to use AI practically, thoughtfully, and effectively in product work (and beyond). Because while AI can help us move faster, it still can’t align a team or handle trade-offs. That’s still on us.

Key Takeaways:
-What prompting, meta prompting, and reverse meta prompting actually mean (and why they matter)
-How to write AI prompts that produce useful, context-aware results
-How meta prompting can refine your problem framing before asking AI for help
-How reverse meta prompting helps you assess and improve your own thinking