Explore essays on governed autonomy, approval design, audit trails, and multiplayer work with AI agents.
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Approval is often treated as the thing slowing automation down. In business AI execution, it is the mechanism that lets more work move without pretending every action has the same risk.
Different AI and automation categories solve different parts of the work problem. The missing category is the governed AI agent that can plan, pause, execute, and produce evidence.
An audit trail is not a transcript dump. For autonomous AI work, it should show the goal, plan, tools, evidence, decisions, approvals, and final outcome in a way humans can reconstruct.
Human-in-the-loop design can be precise rather than performative. The checkpoint should appear at the moment risk changes, with enough context for a fast decision.
A principal architect’s guide to state, failures, retries, and consistency when humans and AI agents work together.
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