GeneralJerel 8e7c6e2fb6 feat(showcase): narrate the self-learning teach-a-workflow loop ...

Drive the FOR-137 self-learning story as an agent-orchestrated, narrated loop. When an
over-limit approval is rejected, the agent offers to record a workflow; the officer
demonstrates by filing a policy exception; the agent summarizes and saves the procedure;
then it applies that procedure itself to a different over-limit charge. Same-session recall
works by echoing the learned procedure back into the thread.

page.tsx: three new human-in-the-loop tools (offerWorkflowRecording,
recordExceptionDemonstration, saveLearnedWorkflow) plus a transactions agent-readable so the
agent resolves a charge the user names to the right id instead of guessing.
openPolicyException now returns the new exception id, and the agent-driven exception tools
are followUp:true so the recall chain (open then finalize then approve) does not stall.

route.ts: TEACH & RECALL prompt rules and an ACTION DISCIPLINE carve-out. The prompt does
not restate the unlock procedure, preserving the learning invariant.

policy-exception-inline.tsx: surface the demonstrated exception code via onFiled(code).

scripts/over-limit-gate-smoke.mjs: regression guard proving only a finalized
justifying-code exception lifts the policy-limit gate.

Verified end-to-end in OSS dev mode (lint and build green): the demonstration clears the
Google Ads charge and recall clears the AWS charge with a single successful approve.

2026-06-15 06:05:27 -07:00

..

over-limit-gate-smoke.mjs

feat(showcase): narrate the self-learning teach-a-workflow loop

2026-06-15 06:05:27 -07:00

self-learning-smoke.mjs

test(showcase): add self-learning smoke script (record, distill, recall)

2026-06-11 04:54:23 -07:00