Every failure should leave a safeguard.
Turn incident evidence into actionable safeguards. Understand what happened, identify what remains uncertain, and preserve lessons that can be retrieved when similar failures occur.
A log line, an error, a failed request — treated strictly as data.
One specific, testable rule — with its assumptions and its verification state stated, never assumed.
Submit an incident, get a Safeguard Record.
The material is treated strictly as data: parsed with rules, never executed, and never interpolated into a command or a query.
One chain, six links, no shortcuts.
A record is a single connected argument. Each link carries an honest state label, and a claim is never upgraded as it moves down the chain.
Incident
the submitted material
Treated strictly as data. Parsed with rules, never executed.
Evidence
verbatim spans
Observed facts separated from what a source confirmed.
Hypothesis
the observed facts
A candidate mechanism with a confidence and a list of unknowns.
Safeguard
the diagnosis
One specific, testable rule — with its assumptions stated.
Verification
the safeguard
Executed against the decision engine. Never asserted.
Memory
the verified record
Preserved with a deterministic key, retrievable later.
What makes AFTERMATH different.
Evidence before conclusions
Every fact in a record is extracted from the submitted material with a verbatim span behind it. The engine forms a diagnosis only after it has stated what it observed.
Uncertainty is explicit
What is observed, what an external source confirmed, and what is still unknown are three separate lists. A lookup that cannot run resolves to unknown — never to success.
A safeguard is not called verified without proof
A safeguard is recommended, then tested against the decision engine. A single incident can show an effect; it can never on its own justify calling a rule verified.
Lessons can be preserved and retrieved
Each record is written to Walrus Memory with a deterministic key, so a later, similar failure can recall the lesson — and a repeat is recognised as a repeat.
Live system state
Infrastructure metadata and the controlled evaluation scenarios live in the Evaluation Lab, away from the primary journey. Every figure there is read from the running system; nothing is illustrative.