01 · Request
Business user
“Ship the same product again. The last order worked.”
A prior successful route exists.
Autonomous AI Judgment
Improve judgment boundaries with experience and current conditions.
Reuse experience without blindly inheriting it. Past success can inform the next decision without becoming automatic current permission.
Past SuccessApplicabilityVersioned UpdateRollbackAuthority
Core idea
Past success is evidence — not current permission.
As AI systems reuse experience, old conditions, permissions, and preferred routes can be inherited unless applicability is re-judged.
Outcome ≠ Live Rule
Concrete example
The successful route changed before the next shipment.
The compliance feed detects the change. LimFlex judges whether the old experience is still applicable now.
REPEAT ORDER
02 · Experience
Agent
“Last time we committed to a 14-day route.”
Past experience is useful evidence, but it is not yet current permission.
03 · External change
Compliance feed
“A regulatory change is expected before this shipment date.”
The change is detected by an external source; LimFlex does not need to invent it.
04 · Applicability
LimFlex
“Does the previous successful route still apply under the current conditions?”
The question shifts from past outcome to present applicability.
05 · Current judgment
LimFlex
“Hold. A formal export-control review is required for this shipment.”
Previous success does not bypass the current gate.
06 · Governed improvement
Update path
Use the result as a candidate for future boundary improvement — validate, authorize, version, then activate.
Experience informs later control without directly becoming a live rule.
07 · Result
Outcome
The system adapts without silently inheriting stale permission.
Past success remains evidence, not an automatic command.
Customer value
Use experience without letting experience silently take authority.
REUSEReuse experience conditionally.Prior results can support current judgment without being treated as universal permission.
RE-JUDGEChallenge stale assumptions.Current context, evidence, authority, and version state can invalidate past applicability.
IMPROVEImprove future decision conditions.Observed outcomes can generate candidates for later boundary improvement.
ROLLBACKKeep version history and rollback.Improvement candidates are separated from active control until validation and activation conditions are met.
Governed improvement
Experience becomes a candidate for improvement — not an automatic rule.
Experience
↓
Applicability Judgment
↓
Update Candidate
↓
Validation / Authority
↓
Versioned Activation
Start where experience is already changing behavior.
One repeated route, one update path, or one stale-permission problem is enough for a bounded fit check.