Ship Signals — Page 2

Reviewers need artifact-specific diffs to catch behavioral changes the harness introduces.

Treat prompts like application code to catch behavior regressions before they reach users.

Pinpoint which layer introduced each agent failure to target the right repair.

Set alerts on specific spans to catch silent cost overruns before the invoice arrives.

Agents lose track of evolving user needs across session turns.

Production traces reveal which harness layer caused failure and how to fix it.

Historical production traces reveal which harness layer failed and how to fix it durably.

Detecting silent AI agent failures layer by layer before they reach users.

Three production signals—recurrence, layer, blast radius—beat loudness and recency.

Automatically groups recurring failures from live agents into named patterns with root causes.

Diagnose failures across agent layers, not just monitor dashboards for guesses.