In Development
AI Product Playbook
A queryable knowledge service for building intelligent products — frameworks, patterns, and hard-won lessons from 18+ years of product work across healthcare, aviation, banking, government, retail, pharma, manufacturing, and insurance.
Built for AI agents first, humans second. Designed to be consumed programmatically through an MCP server, not just read on a screen.
Frameworks
Data Trinity
Data Trinity Framework
Availability, Accessibility, Literacy — the three pillars of data-driven culture transformation.
Thin-Slicing for MVP
Aviation Data Platform
Carving the smallest viable slice that proves the full vision. The methodology that compounds — each application teaches a new failure mode.
Cold-Start Problem Solving
SuperApp Recommendation Engine
A layered approach to bootstrapping personalization data. Make data collection inseparable from value delivery.
Government as an API
Smart Nation
Treating government services as composable, programmable endpoints that AI agents orchestrate into citizen-facing experiences.
Invisible Integration
Invisible Banking
Products that disappear into daily routines — ambient intelligence over destination apps.
9-Layer Platform Architecture
AI-Powered IDP
Composable, API-first layers for developer experience — each independently useful, each independently fallible.
Principles
Systems over features — architect feedback loops, not screens.
First principles over patterns — question before you build.
Design is a thinking tool — taste filters what's possible from what's worth building.
AI is the force multiplier — not a feature to bolt on.
Evidence
Every framework above was extracted from real product work. The case studies are the proof — each one shows the framework in context, including where it broke. No theory without evidence. No evidence without honest failure boundaries.
Read more about the thinking behind these frameworks on my About page, or follow the build process on Substack.