Human-Gated Writes in Agentic Pipelines

When an agent observes your work and proposes updates, keep a hard boundary between deriving suggestions and committing changes. Let the system surface candidate linkages, status refreshes, or entity matches freely — but write nothing to your durable knowledge base until a human accepts it. The default should be propose-only, never auto-apply.

This matters most when the signal is inferred from indirect traces (session length, token counts, transcript metadata) rather than explicit intent. Inference is cheap and noisy; a false positive that silently rewrites your notes is expensive to detect and untangle later. A review step turns noisy inference into a safe input.

Design the queue so accepting is fast and rejecting is the easy default. If reviewing proposals feels like drudgery, you’ll rubber-stamp them and lose the safety the gate was meant to provide. Cheap to skip, obvious to accept, reversible when wrong — that’s the shape of an automation you can trust to run every day.