Behind the Craft by Peter Yang

Behind the Craft by Peter Yang

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Behind the Craft by Peter Yang
Behind the Craft by Peter Yang
How to Build an AI Co-Pilot to Ace Your PM Interviews | Ben Erez (ex-Meta)
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How to Build an AI Co-Pilot to Ace Your PM Interviews | Ben Erez (ex-Meta)

Use Ben's proven product sense template to create your own AI interview co-pilot. Plus try his advanced version that feels like a "calibrated interviewer that's available 24/7"

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Peter Yang
Aug 10, 2025
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Behind the Craft by Peter Yang
Behind the Craft by Peter Yang
How to Build an AI Co-Pilot to Ace Your PM Interviews | Ben Erez (ex-Meta)
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Dear subscribers,

Today, I want to share a new episode with Ben Erez.

Ben is a former meta PM who has helped hundreds of people land great jobs. One of the most unique things that Ben has built is an AI co-pilot that his students say feels like having a "calibrated interviewer that's available 24/7." I got him to show me exactly how to build this AI co-pilot using his proven templates and prompts.

Watch now on YouTube, Apple, and Spotify.

Ben and I talked about:

  • (00:00) The current state of the PM job market

  • (02:07) The exact structure of the product sense interview

  • (08:58) How to build your AI interview co-pilot step-by-step

  • (12:36) Live demo: AI co-pilot walking through a Meta interview question

  • (13:33) Why Ben designed the AI to be the candidate, not the interviewer

  • (25:23) How to prioritize the right user segments and problems to solve

  • (32:13) The biggest mistakes candidates make when challenged by interviewers

This episode covers how to build a simple AI co-pilot based on Ben’s free product sense template. Check out Ben’s advanced interview AI co-pilot for help prepping Meta-style product sense and analytical thinking interviews.


🎙️ Coming up next on Behind the Craft

  1. Cursor Tutorial for Beginners from Cursor’s Head of Education | Lee Robinson

  2. AI Evaluations Explained: Step by Step with Real Examples | Aman Khan

  3. How to Automate Your Work Using Claude Code | Alex Finn

All 100% free, subscribe if you like these practical, hands-on tutorials 🙂

Subscribe on YouTube


Top 10 takeaways I learned from this episode

A snapshot of Ben’s detailed product sense template
  1. Find your candidate-market fit. Companies like Vercel get 3,000+ applications for each role. So instead of casting a wide net, target specific roles that match your background like "L7 AI trust and safety product lead."

  2. Treat product sense interviews like a game with clear rules. Most candidates fail because they treat it like a casual conversation. Instead, follow a strict framework of motivation → segmentation → problems → solutions and manage your time.

  3. Spend 70% of interview time on users and problems, not solutions. The solution phase should be around 10 minutes in a 35-minute interview. Interviewers want to see how you think through strategy and prioritization.

  4. Build a simple AI interview copilot using Projects. Set up a ChatGPT or Claude project with some questions from Lewis Lin's question bank, Ben’s product sense post for Lenny, and his product sense template below with step by step guidance:

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