Writing
Notes on building AI products
Lessons from taking AI from prototype to production — engineering, architecture, and the decisions that decide whether an AI feature ships.
AI agent maintenance: model changes, regressions, and what a maintenance contract has to coverWhy an AI agent needs maintenance even when nobody touches the code: model deprecations, upstream systems that change formats, knowledge sources going stale, new attack patterns. How regressions get caught, how a model migration runs, and the ten points a maintenance contract has to contain.Operating AI agents: what happens after go-live, and who is responsible for whatAn AI agent is not finished at go-live. What operation actually means: approval mode, logging, evals in production, cost budgets, the incident path, the review cadence, and how the duties under the EU AI Act and the GDPR split between the company and its software vendor.
What work could agents take off your team?
Bring one recurring workflow or a product idea. Thirty minutes, an honest assessment, a clear next step.