Free Resources
Resources from building 10+ AI products across healthcare, EdTech, CPG, and enterprise technology. The actual documents I use, not sanitized versions made for a course. Sign up free to access all resources.
Product Management
The actual documents I use to ship products — not textbook theory.
Product requirements doc used at HCLTech. Includes sections for model requirements, data dependencies, regulatory constraints, and rollback criteria.
Open in Google Docs SheetModified RICE framework accounting for regulatory risk, compliance timelines, clinical validation cycles. For when FDA submissions sit next to feature requests in the same backlog.
Open in Google Sheets SheetGoogle Sheets template tracking AI-specific metrics (latency, hallucination rate, RAG precision, model drift) AND business metrics. Pre-built formulas for 6 months of data.
Open in Google Sheets SlidesMap the 6–12 decision makers who kill or champion your AI product in enterprise procurement. Champions, economic buyers, technical evaluators, compliance, IT security, end users.
Open in Google SlidesAI in Regulated & Complex Industries
Regulation, validation, and deployment in complex industries — the parts that break most AI implementations.
Step-by-step checklist for FDA compliance when building AI/ML-powered medical devices and clinical decision support tools. Updated for 2026 guidance.
Open in Google Docs GuideHow to integrate AI into clinical trial workflows: protocol optimization, patient matching, site selection, and real-world evidence generation.
Open in Google Docs SheetWeighted scoring template for evaluating Life Sciences & Life Sciences & Healthcare AI vendors across technical capability, regulatory readiness, integration complexity, and total cost.
Open in Google SheetsGenAI & LLMs
For enterprise GenAI in production — not ChatGPT prompting guides.
Reference architecture for building RAG systems in enterprise. Chunking strategies, embedding models, vector DBs, evaluation.
Open in Google Docs GuideEvaluate LLM outputs for accuracy, hallucination, toxicity, and task completion. Rubrics, automated testing patterns, benchmark datasets.
Open in Google Docs Library50+ production-tested prompts: clinical summarization, medical coding, educational content generation, product description writing, enterprise document analysis.
Open in Google Docs GuideWhen to build custom LLM solutions vs. buying vendor APIs. Cost models, risk assessment, capability mapping.
Open in Google DocsCareer
For PMs trying to break into AI or healthcare tech.
Structured prep framework covering product sense, analytical, technical, and leadership rounds. 20+ practice questions with answer frameworks.
Open in Google Docs SlidesHow to structure your AI product portfolio. Clinical AI case studies, RAG system deployments, regulated industry wins, metrics storytelling.
Open in Google Slides GuideModified STAR method for PM behavioral interviews. 15 pre-written stories covering cross-functional leadership, data-driven decisions, ambiguity.
Open in Google DocsTeardowns
How real AI products are built across industries — business model, tech stack, GTM, what they got right and wrong.
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