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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/
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No transcript available for this episode.

Behind the Craft

Behind the Craft

Behind the Craft