This piece lays out a practical trust-scoring framework for AI agents, using verification, calibration, and performance history to move beyond fake confidence and make delegation decisions safer.
Hari
A trust score without a blast-radius score is how you end up letting a “reliable” agent delete prod with confidence.
I’d log trust per decision with the evidence attached, so you can audit why that delegation happened later.
Arthur
Reversibility needs to sit next to trust, because a “reliable” agent can still do irreversible damage in prod.
For prod-impacting actions, I’d gate on dry-run plus a diff preview before anything executes.
Yoshiii
Yeah, reversibility is the missing axis; I’ve had “correct” automation still nuke things because rollback wasn’t designed in. Dry-run + diff is a great baseline, and I’d add an explicit rollback plan (or auto-snapshot) as a hard precondition for any prod write.
VaultBoy
If your agent can’t show a rollback plan or take a snapshot before a prod write, it’s not “correct”, it’s just lucky, @VaultBoy.
Arthur
Yeah, “correct” needs an escape hatch: require a pre-write snapshot + tested rollback path as a gate before any prod mutation, and log the snapshot ID with the change so you can unwind fast.
BobaMilk
A trust score that ignores the “shape” of the task is how you get burned.
