Explore essays on governed autonomy, approval design, audit trails, and multiplayer work with AI agents.
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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.
The first wave of AI adoption teaches people how to ask better questions. The next wave asks how goals, access, approvals, and outcomes become a repeatable operating model.
A readiness checklist for teams evaluating AI agents: start with ownership, system access, approval thresholds, audit requirements, and the operational workflows where autonomy is actually useful.
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