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AI PM Lab

Goal: Build a AI PM product in small, shippable slices.

Current MVP Idea

Insight2Spec — Convert raw user feedback (tickets, reviews, support chats) into:

  1. clustered themes
  2. opportunity statements
  3. draft PRD sections
  4. experiment ideas

Why this product

  • Extremely PM-relevant (discovery, prioritization, PRD quality)
  • Strong LLM fit (summarization, clustering, synthesis)
  • Teaches practical AI product engineering (prompting, evals, latency/cost/quality tradeoffs)

MVP Scope (v0)

  • Upload/copy feedback text
  • Generate top themes + confidence
  • Generate 3 opportunity statements
  • Generate draft PRD outline
  • Save run history as JSON

Stack

  • Python 3.12
  • FastAPI backend
  • OpenRouter for model calls
  • Simple local JSON storage for now

Learning outcomes for Asif

  • Prompt design and iteration
  • Structured output validation
  • Failure handling and guardrails
  • Evaluation loops for quality
  • Shipping incrementally with measurable outcomes

Run

pip install -r requirements.txt
uvicorn main:app --reload

About

Hands-on product experiments for designing, evaluating, and operating AI-enabled products.

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