WEBVTT

1
00:00:00.000 --> 00:00:05.000
What makes an AI quality report trustworthy when one signal fails? Follow one evidence token.

2
00:00:05.000 --> 00:00:10.000
It enters inspectable heuristics, temporal context, and semantic continuity checks.

3
00:00:10.000 --> 00:00:13.000
Each route keeps its source, score, and limit.

4
00:00:13.000 --> 00:00:17.000
If the model service fails, the token does not disappear.

5
00:00:17.000 --> 00:00:24.000
The report marks the missing signal, keeps the safe baseline, and routes uncertainty to a human reviewer.

6
00:00:24.000 --> 00:00:27.000
The reviewer sees evidence, not just an alarm.

7
00:00:27.000 --> 00:00:32.000
Public proof publishes architecture, benchmark, and limitations while private clips stay protected.

8
00:00:32.000 --> 00:00:35.000
Trustworthy systems preserve the evidence token, especially through failure.