Ravi is a top AI instructor and former CPO of Tinder. In our episode, he did a live demo of using his 3-layer context engineering system (functional, visual, data) to build a beautiful music app instead of the usual AI slop. You’ll never build with AI the same way again after learning about Ravi’s approach. Ravi and I talked about: (00:00) Why most AI prototypes feel like slop (01:08) Context engineering, explained from first principles (05:12) Layer 1 demo: Functional context (09:38) Layer 2 demo: Visual context (13:31) Layer 3 demo: Data context (15:47) Building a custom MCP server in Claude Code (19:54) The full stack prompt: all 3 layers in one shot (24:21) Why separating the data layer is the real unlock (28:59) Should PMs prototype or just ship to production? (33:51) Where PRDs still fit in AI native product development Thanks to our sponsors: Wispr Flow: Don't type, just speak https://ref.wisprflow.ai/peteryang Linear: The AI agent platform for modern teams https://linear.app/behind-the-craft Granola: The AI meeting notes app that saves you hours. https://granola.ai/peter 📌 Get the takeaways: https://creatoreconomy.so/p/three-layer-system-for-context-engineering-ravi-mehta Where to find Ravi: X: https://x.com/ravi_mehta Website: https://www.ravi-mehta.com/ Subscribe to this channel — more interviews coming soon!