Operating manual
Tag: Agent Operations
A focused reading path for Agent Operations: related field notes, evidence trails, and operating questions from the archive.
- your-agent-is-learning-the-harness-too.md
Your AI Agent Is Learning the Harness, Too
When training runs through an execution harness, the interface shapes learned behavior. Use this six-part contract to test what will transfer.
open artifact → - agent-context-is-a-lifecycle-problem.md
Your AI Agent Needs a Context Policy
A practical six-part context policy for AI agents: what to keep, retrieve, compact, and delete across long-running jobs.
open artifact → - the-governance-gap-after-ai-extraction.md
The Governance Gap After AI Extraction
An extraction model returns a candidate claim. A five-field governance record decides whether that claim can safely travel.
open artifact → - ai-memory-needs-an-eviction-policy.md
AI Memory Needs an Eviction Policy
A memory budget sets capacity. A memory policy decides what earns retention—and whether the rule actually helps the workload.
open artifact → - agent-work-needs-chain-of-custody-not-just-bigger-models.md
Agent Work Needs Chain-of-Custody, Not Just Bigger Models
A four-question acceptance test for trusting agent work: who authorized it, what state crossed the handoff, what evidence proves completion, and what recovery path exists.
open artifact → - agent-work-needs-chain-of-custody-not-just-capability.md
Agent Work Needs Chain-of-Custody, Not Just Capability
A four-question acceptance test for trusting agent work: who authorized it, what state crossed the handoff, what evidence proves completion, and what recovery path exists.
open artifact →