Matt Berryhill builds AI-native discovery systems.

Berryhill.dev is his public field notebook on agentic workflows, governance, provenance, and the operator judgment required to turn AI work into shipped proof.

Most AI content stops at tools, prompts, and demos. The harder problem is building systems that know who owns the work, what evidence was used, what changed, what shipped, and where a human must stay in the loop. This site tracks that layer: the workflows, protocols, review gates, and operating habits that make agentic systems useful outside the demo.

berryhill.dev / field-notes

Public notes on AI-native systems, agent governance, provenance, and shipped proof.

Interface metaphor, not live telemetry.

Start with the operating layer: agent governance, shipped-work proof, protocol boundaries, small named fleets, continuity, and the systems that keep AI work accountable.

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Read the field notes, then bring the operating questions to a conversation.