Field notes
Longer versions of ideas first shared on LinkedIn — about AI operations, human-agent workflows and building systems people can trust.
Written from operating experience, not the sidelines.Reliable AI workflows need more than an intelligent model. They need deterministic software for the repeatable work and clear control for the human accountable for the result.
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One accountable systemThe archive
Short, useful arguments about where AI belongs in a business — and what still needs a person.
Models improve without you and harnesses can be swapped. Durable advantage comes from the context your business writes down, preserves and lets the agent use.
Read articleJobs are bundles of tasks. AI can take over parts of the execution, but judgment, accountability and the ability to decide what matters remain human responsibilities.
Read articleHigher AI spend can be a healthy adoption signal. The operating challenge is deciding which workloads need frontier intelligence and which can run well enough on local models.
Read articleFrom thought to workflow
Bring one repeated, expensive or frustrating process. We will help you decide whether AI belongs there and what the smallest useful system looks like.
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