Autonomy Is Not the Absence of Process
Why reliable AI agents need bounded freedom, external verification, and systems that preserve intent beyond a single model session.
Field work on governed agent systems, retrieval integrity, and agent-readable web infrastructure.
Why reliable AI agents need bounded freedom, external verification, and systems that preserve intent beyond a single model session.
The complete methodological foundation: bounded authority, durable state, lean context, controlled process, independent challenge, and proof over promises.
The multi-agent delivery harness implementing role separation, script-captured evidence, and Swarm HOLD pattern in production TypeScript.
Empirical study of 2,000 domains and 50,665 public llms.txt links. Uncovering the discovery vs delivery gap in AI web retrieval.
A verifiable open standard for agent-readable web content, introducing structured Agent Views, token economics, and publisher policies.
The developer tool and evidence platform for making AI retrieval observable, verifiable, and free of JavaScript rendering gaps.