Behind the Craft Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta
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May 3, 2026 
Ravi Mehta, former Tinder CPO and AI instructor who teaches AI prototyping, walks through his three-layer context engineering system. He demos functional, visual, and data layers to build a music app prototype. Hear how MCP servers, JSON data, and Figma wireframes raise prototype fidelity and speed iteration.
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Context Engineering Is Full Stack Prompt Design
- Context engineering means designing all information and tools an AI model needs, not just writing prompts.
- Ravi frames it as moving from conversational prompting to deliberately assembling functional, visual, and data context for the model.
Prototype To Support Decisions Not Showmanship
- Build prototypes to answer a decision, not to be perfect; ensure a suspension of disbelief for user research.
- If customers start theorizing instead of acting, your prototype lacks fidelity and won't produce reliable insights.
Give A Short Functional Mini Spec First
- Start with a concise functional spec describing the feature sections and behaviors before asking a prototyping tool to generate UI.
- Ravi used a short mini-spec to create a music genre detail page and the tool expanded it into a workable prototype.