June 2026
What makes an enterprise AI feature production-ready
Most AI features that stall in production do not fail on model quality. They fail on grounding, evaluation, governance, and deploy safety. Here is the checklist I work through.
Notes
Notes
Short pieces on how I think about building AI and data systems, scoping POCs, and communicating technical tradeoffs.
May 2026
Data POCs: from business question to a demo people trust
A proof of concept is not a smaller version of the final build. It is an argument. Here is how I scope data POCs so they actually move a decision forward.
May 2026
Explaining technical tradeoffs to non-technical stakeholders
Stakeholders rarely want the technically optimal option. They want the one that best fits their constraints. A practical way to frame tradeoffs so they can actually decide.