When an AI agent fails,
the world keeps
changing

RIFT freezes the incident world so you can reproduce the exact failure and prove the fix.

Incident Walkthrough

01
FAIL
Agent picks the wrong refund for Sarah Chen.
SAYTwo refunds. Both eighty dollars. One completed, one pending. The agent is told to process the pending refund. Watch — it picks the completed one. That is the incident.
user → "Process Sarah's pending refund" agent → get_refunds(order_1842) agent selects R91 · COMPLETED should have been R92 · PENDING WRONG_ENTITY_SELECTION — duplicate $80 payout
/ How it works

The complete loop

Not just reproduction. The entire incident lifecycle from failure to verified resolution.

FAILAgent acts→
CAPTURERecord causal envelope→
FREEZEHash-seal world→
RECONSTRUCTRebuild environment→
RIFTReproduce failure→
DIAGNOSEExplain divergence→
FIXCorrect agent→
VERIFYProve fix works→
RESOLVEFix survived incident
/ The problem

The missing boundary

AI agents operate across changing state. When something goes wrong, the original context disappears.

01

World changes

Between failure and investigation, state drifts. The world that caused the bug is gone.

02

No snapshot

Logs and traces don't preserve the exact world state for re-running the agent.

03

Guesswork

Without reproduction, you can't prove your fix works. Debugging blind.

/ Proof
SHA-256Hash sealed
FROZENCannot drift
DETERMINISTICSame input → same output