Field notes on agent architecture, AI strategy, and responsible adoption — written for leaders who need results, not buzzwords.
The difference between a demo and a deployed agent isn't the model — it's the orchestration, tool design, and guardrails around it. Here's what separates agents that ship from agents that stall.
How to avoid multimillion-dollar pilot traps. A practical framework for evaluating feasibility, risk, and genuine payoff before you write a line of code or sign a vendor contract.
Five principles — Think First, Human In Charge, Interact Intentionally, Notice What Can Be Wrong, Keep It Responsible — that keep AI working for people. Take it into your classroom, workplace, or community.
When one agent isn't enough, a coordinated team of specialized agents can reason through complex, multi-stage business tasks. A breakdown of the patterns that hold up under real load.
Compliance, data protection, and human-in-the-loop safeguards — the non-negotiables for enterprise AI adoption. What boards should be asking before approving the next AI initiative.
Most RAG failures are retrieval failures. Here's how to architect chunking, embeddings, and re-ranking for accuracy — and the evaluation harness that tells you when it's working.
Before you ship, share, or act on an AI output, run it through these ten questions. They won't slow you down — they'll keep you from speeding in the wrong direction.
Technology is the easy part. The hard part is getting your people ready to adopt and trust AI in daily work. A roadmap for the human side of AI transformation.
Book a discovery call and let's map it to your goals.
Book a Strategy Call