N17Q replaced an exhaustive event dump with layered, causal views that preserved raw evidence while helping users, reviewers, and operators find decisions, effects, divergence, and recovery.
#observability
N17Q stopped treating the assistant’s final prose as the task result and generated a deterministic outcome account from artifacts, effects, tests, denials, and unresolved evidence before allowing narrative explanation.
N17Q separated wall, monotonic, and logical time so agent traces could explain ordering, duration, expiry, replay, and distributed delay without making one timestamp carry every meaning.
N17Q compared an agent’s confident final account with effect receipts and simulated world state, revealing the second request its own narrative had forgotten.
The March 2025 agent platform release made item streams, built-in tools, orchestration, and tracing easier to reach; N17Q still kept product policy and durable run state outside one provider.
Component health checks could not prove that W93H would preserve a usable incident, so a safe synthetic failure exercised the entire evidence and recovery path.
Normalizing timestamps made W93H's incident timeline easier to read and harder to audit, so original time, learned offset, and discovery time became separate evidence.
A quick rollback restored a personal lab service, but configuration, jobs, evidence, and temporary actions remained unrecovered long after traffic turned green.
Putting releases on an incident timeline improved orientation, then made temporal proximity look like proof until W93H separated change evidence from causal hypotheses.
Resource thresholds were easy to measure and hard to act on, so I rebuilt W93H's alerts around capabilities, evidence, and explicit blind spots.