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Right now the score is derived from weighted signals like forgotten preferences, contradictions, and repetition loops.

It’s not claiming scientific precision but more of an aggregated risk indicator.

Improving explainability of that score is high on the list. I hope it helps :)


So this isn’t scientifically grounded?


Not in a formal academic sense.

It’s more of an engineering diagnostic heuristic than a psychological metric.

The goal is practical usefulness, not theoretical rigor.


Founder here — happy to answer anything.

Curious to hear:

• How are people currently debugging agent continuity issues?

• Are you seeing users re-explain things often?

Also happy to analyze any sample transcripts if people want to try it.


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