Most PM take-homes are now read by AI first — coach breaks down 4 real decks
aakashgupta · x · 2026-11-07
Aakash Gupta sits down with PM interview coach Sumant Malhotra to analyze four real take-home decks — two shortlisted, two rejected — now that most PM homework is triaged by AI before a human reads it.
- Shortlisted: an LLM triage PoC-to-production plan; a plan unifying five data products.
- Rejected: an MVP that tried to do everything; AI features with no evals.
- Covers the 5 types of PM homework, the 20% most candidates miss, hour-splitting, and a 3-part system for take-homes.
- Key takeaway: show AI as a thought partner, and always include eval design for AI features.
Full episode with timestamps; useful for PM candidates and anyone tracking how AI reshapes hiring filters.
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