Research notes
Closed-Loop Knowledge
A pattern for converting production conversations and agent traces into durable knowledge and better tests.
Operating principle
Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.
The feedback loop
Every failure should become either a knowledge update, an eval case, a workflow patch, or a human-reviewed exception. Otherwise the system repeats the same mistake.
Related resources
Conversation Intelligence
Turning support, Slack, sales, and product conversations into structured signal, knowledge updates, and eval cases.
Data Quality
Contracts, validation, lineage, freshness, and ownership for data that agents can safely use.
Agent Observability
Trace-level visibility into model calls, retrieval, tools, decisions, approvals, costs, and failures.