Category archive
An agent is a control loop with a durable state problem.
An agent demo needs one good trajectory. An agent in production needs a loop that can be resumed, a tool surface that can be authorised, and a run whose state survives the process that started it. These articles are about the second thing.
Articles in Agents
Engineering the Agent Tool Loop
A concrete architecture for tool selection, state transitions, permissions, budgets, and recovery in production agents.
Durable Execution for Agents That Outlive a Web Request
Persisting checkpoints, replaying deterministically, handling human approval, and surviving crashes without duplicating side effects.
Model Context Protocol in Production
Designing MCP servers, capability discovery, authorization, transport, schemas, and observability for real agent ecosystems.
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Put this against a real system.
If a decision in Agents is in front of you right now, the fastest version of this is a call: bring the architecture, the failure you are seeing, and the constraint you cannot move.
Discuss the systemIn the age of AI
The advantage was never the model. It's knowing what to build with it — and having a team that can actually ship it.
That's the part I help with: finding where AI genuinely makes your business faster, deciding what's worth building, and standing behind it once it's live.
Four offices, one very full passport
Every dot on this map is a conversation I still remember.
- Where I've spoken
- Office
