Let Agents Propose, Not Commit

When an automated system infers links, updates, or actions from activity logs, resist the urge to have it write directly to your system of record. The higher-leverage pattern is to generate candidate changes as a reviewable queue and require a human to accept the ones that are actually real. Automation surfaces signal; a person confirms truth.

This matters most when the inputs are noisy — transcripts, metadata, fuzzy name matches. An agent can easily conflate two near-identical entities or hallucinate a relationship that doesn’t exist. A human gate at the write boundary keeps those errors from silently corrupting downstream data everyone else trusts.

A related discipline: treat derived comparisons as advisory signals, not pass/fail gates. A metric that measures how far a draft drifted from the final version is useful for spotting trends, but the moment you turn it into an automatic blocker you invite people to game it or distrust it. Keep signals informative and keep judgment human.