AI PM - Builder Playbook

AI PM Playbook: Ideation to Impact

The 7-step workflow I used to ship AI products at Walmart, turned into a playbook you can run on your own feature.

Most "AI PM" content stops at frameworks. This doesn't. Every module follows one running example, an AI-assisted dispute-resolution feature, through all 7 stages: Research, Think, Define, Design, Build, Review, Measure. You see the actual scoring numbers, the actual prompts, the actual thresholds that triggered a launch decision, not a hypothetical.

What's inside:

• Research — the Pain × Frequency × Feasibility framework, a 4-source research sweep with copy-paste Perplexity prompts, and the opportunity scoring rubric
• Think — the 4-layer assumption stack (Desirability/Data/Capability/Viability) with fake-door tests and kill thresholds
• Define — the AI-PRD skeleton, including the confidence-threshold and kill-criteria sections most PRDs skip
• Design — the trust UX checklist and Figma prompt patterns for confidence-aware states
• Build — the 4-stage build sequencing model with the exact data thresholds that trigger each promotion
• Review — the pre-launch eval stack, adversarial QA prompts, and eval-set sizing guidance
• Measure — the 4-layer metrics stack that connects eval quality to business impact

18 pages. No filler. Built from 12+ years shipping AI products across Walmart, MobiKwik, and Axis, where I generated $500M+ in business impact through AI-driven automation and coached 10,000+ PMs from rejection to offer.

If you're building your first AI feature or trying to explain to leadership why the last one underperformed, this is the playbook I wish I'd had.