12 open lessons
A practical sequence from choosing one useful job to operating and changing a production tool responsibly.
Separate pattern-generating capability from authority, memory, and accountability.
Turn ‘use AI’ into one repeated task with an observable definition of done.
Define review, rejection, escalation, and stop conditions before testing.
Give the assistant a job, source boundary, response contract, and refusal rule.
Create a tiny knowledge set with ownership, dates, permissions, and visible citations.
Use a small evaluation set that includes ordinary, awkward, and prohibited requests.
Observe the real path, including waiting, workarounds, exceptions, and invisible review.
Keep deterministic steps deterministic and reserve model use for bounded ambiguity.
Force a failure, prevent duplicates, alert an owner, and finish the work manually.
Map environments, identities, secrets, processors, logs, retention, and deletion.
Require evidence for ownership, quality, security, recovery, privacy, and user clarity.
Track versions, failures, review effort, cost, corrections, and exit readiness.