What did the postmortem fix prove?
Separate a completed task from evidence that the underlying risk was reduced.
Guides, news and explanations about AI and reliable systems.
Separate a completed task from evidence that the underlying risk was reduced.
Account for context limits, retries, latency, and the work behind a useful result.
Evidence can split a 5 Whys investigation into several contributing causes. A concurrency example shows how to turn those explanations into useful tests.
Conflicting restart instructions show where a source-backed notebook helps: finding the relevant passages, dates and exceptions for the runbook owner.
Power and cooling affect the work a GPU pool can sustain. Device signals, request completions and queue growth help distinguish a physical limit from a workload change.
A rollback exception tests whether Opus 4.6 preserves decisive evidence across a long session, and whether the resulting answer arrives in time to help.
A timed-out scaling request needs a durable record and destination-state checks. Reusable operational skills need to recover unfinished work as well as start it.
A rollback proposal crosses from recorded evidence into a changing system. The handoff carries source references, current preconditions and unfinished actions.
Disturbed nights, specialist help and cleanup consume capacity beyond the primary shift. A workload worksheet connects that demand to staffing and delivery plans.
Grouping can shorten the incident queue while hiding a second failure. Following a replay past the first mitigation reveals whether that failure stays visible.
An error-budget hold needs a route for an urgent repair. Fresh measurements, artifact-specific exceptions and recovery criteria determine how that route works.
A reference design for duplicate deliveries and partial API success, with durable incident identifiers and summaries drawn from the resulting record.