Replay-native doctrine
Five principles for replay-safe AI systems.
These principles frame replay as an operating discipline: preserve lineage, make drift inspectable, and keep recovery paths reconstructable as trust posture evolves.
Illustrative doctrine only. This page is not legal advice, regulatory advice, a certification mark, or a standards-body publication.
1AI systems should be replayable
A replay-native system preserves enough ordered context around prompts, tools, approvals, retries, and handoffs that operators can inspect behavior after the session has passed. Replay does not require exposing every payload; it requires a coherent trail of what the runtime believed, attempted, and changed.
2Runtime lineage should persist
Lineage connects each action to its predecessor, successor, owner, and review posture. When lineage persists across runtime boundaries, teams can understand how a decision moved through tools and agents instead of rebuilding the chain from disconnected logs.
3Drift should be inspectable
Drift becomes operationally useful when it can be located, named, and compared against an expected path. Replay-native systems should make changes in authority, policy fit, continuity, and confidence visible before the review becomes forensic reconstruction.
4Recovery should be reconstructable
Recovery is not only whether a workflow eventually completed. It is whether the checkpoint, attempted fix, authority boundary, and downstream state can be reconstructed by a reviewer who was not present during the incident.
5Trust should evolve procedurally
Trust posture should change through visible procedures: evidence captured, deltas explained, reviews completed, continuity preserved, and recoveries documented. It should not depend on a single static score or an unverifiable claim that the system is safe.
Developer certification posture
Future ecosystem language, not a live certification program.
Recon may use badge language to describe the posture expected of replay-native developer ecosystems. These labels are illustrative and aspirational today; they do not represent a live audit, paid certification, partner endorsement, or compliance program.
replay-ready
The runtime is designed to preserve inspectable replay context around consequential steps.
GhostLog-enabled
The integration can emit receipt-style evidence for lineage, deltas, checkpoints, and review notes.
TrustGraph-compatible
The system can describe relationships among agents, tools, policies, and posture transitions.
continuity-preserving
The workflow carries enough metadata through handoffs and recovery paths for later reconstruction.