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PM playbook
A practical hub for PMs: interview synthesis, theme clustering, assumption stress-tests, and PRD drafting - with clear boundaries on what LLMs can and cannot verify.
Answers: How do product managers use LLMs for product discovery?
Product discovery produces messy qualitative data - interview notes, support tickets, sales call summaries, and stakeholder opinions. LLMs excel at structuring that mess into themes, follow-up questions, and draft outlines when you provide primary sources and checkpoints.
They do not replace customer contact. The win is speed on synthesis and repetition - not automating judgement about what to build.
Start with the information pipeline mental model: inputs → compression → output. For discovery, inputs are raw notes; compression is clustering and summarisation; output is a testable problem statement and non-goals.
Verlin Labs PMs practice this in live sessions with Claude and NotebookLM - always with source links open and a human checkpoint list before anything reaches a PRD.
Self-serve reading gets you literacy. The 16-day PM track adds accountable practice: AI-assisted discovery, PRD structure, vibe-coding MVPs with Replit or Lovable, and capstone demo day with mentor feedback.
No. They help synthesise interviews you already conducted - clustering themes, drafting follow-ups, and spotting gaps. Customer contact stays human-led; LLMs handle structured repetition.
Claude and ChatGPT for drafting and synthesis, NotebookLM for source-grounded research, and modern MVP builders for prototyping. Every tool is taught with evaluation criteria - not vendor hype.
About the instructors
Live instruction, curriculum design, and corporate workshops - one educator across every track.
Loading image: Professional headshot of Aman Munjal, Founder and Lead Trainer at Verlin Labs…Aman Munjal
Founder & Lead Trainer
I started Verlin Labs because I was tired of watching smart people nod along to AI explanations they did not actually follow. I have spent over a decade as a PM working on AI and fintech products, and I kept seeing the same gap: people who could use the tools but could not reason about them. Every program here is built around mental models first, so what you learn still holds up after the session ends and the tool has changed.