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.
1
AI 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.
2
Runtime 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.
3
Drift 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.
4
Recovery 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.
5
Trust 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.