Build, Buy, or Embed: Choosing Your AI Delivery Model.
How leaders can match urgency, ownership, and technical uncertainty to the right team structure.
Tech Studio
Practical writing on agent architecture, retrieval, evaluation, security, and the operating choices that move AI work beyond the pilot stage.
AI image detection is a cat-and-mouse game. Apple takes a different approach: cryptographically signing camera captures so their origin can be verified instead of guessed.
How leaders can match urgency, ownership, and technical uncertainty to the right team structure.
A practical scorecard for task success, tool accuracy, recovery behavior, cost, and human escalation.
When to fine-tune models, when to retrieve, and how to balance cost, latency, and compliance.
A pragmatic rubric for leadership teams evaluating adoption risk, data maturity, and operational readiness.
From prompt chains to controllable multi-agent systems with auditability and cost predictability.
Architecture decisions, evaluation harnesses, and retrieval strategies that prevent hallucinations and latency spikes.