Episode
How to AI Prototype Well | Masterclass from $5.5B Founder, Nadav Abrahami (Wix)
- Podcast
- The Growth Podcast
- Published
- Feb 27, 2026
- Duration seconds
- 4595
- Processing state
not_requested- Canonical source
- https://www.news.aakashg.com/p/nadav-abrahami-podcast
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Summary
Today’s episode AI prototyping tools are redefining what it means to be a PM. Bolt went from 0 to $40M ARR in 4.5 months. Lovable hit $17M ARR in 3 months. Every forward-thinking product team is starting to prototype earlier, faster, and at higher fidelity than ever before. But most PMs are using these tools wrong. They open Bolt or Lovable, type a vague prompt, get something that looks decent, show it around, and move on. No problem space work. No divergent solutions. No user testing. The prototype dies in a Slack thread and nothing changes. In this episode, we built a LinkedIn sentiment analysis feature from scratch - live - to walk you through the complete workflow. From blank page to multi-page, clickable, high-fidelity prototype. We covered when to prototype, how to prompt, when to go high fidelity, and how to hand off to engineers with zero open questions. If you watch, you’ll also learn why your PRD and prototype need to live together - and why that combination is the new standard for forward-thinking PMs. ---- Check out the conversation on Apple , Spotify and YouTube . Brought to you by: * Pendo : The #1 software experience management platform * Testkube : Leading test orchestration platform * Gamma : Turn customer feedback into product decisions with AI * Product Faculty : Get $550 off the AI PM Certification with code AAKASH550C7 * Mobbin: Discover real-world design inspiration ---- If you want access to my AI tool stack - Dovetail , Arize , Linear , Descript , Reforge Build , DeepSky , Relay.app , Magic Patterns , Speechify , and Mobbin - grab Aakash’s bundle . ---- Key Takeaways: 1. AI prototyping doesn't replace problem space work - it accelerates solution space work. Before opening any prototyping tool, lock down the problem, the user story, and the rough…