What belongs in a governed AI playbook
Steps, context, human judgment, AI-assisted actions, gates, review records, and versions, without turning it into an SOP dump.
6 min readField notes on making AI a team habit.
Proof, announcements, and a point of view for teams putting AI to work.
More field notes.
Short, practical writing on shaping recurring work into shared playbooks, putting review where it matters, and improving across versions.
Review gates are where quality enters the loop
Make judgment visible instead of pretending recurring work should move forward without a human looking.
5 min readStart with one workflow, not a program
A focused pattern for choosing the first workflow, the owner, the review gate, and the version to standardize.
4 min readWhere Constraint fits around AI-assisted work
Where Constraint sits around the work, and why the AI tool stays separate from the shared playbook layer.
5 min readReview records make AI-assisted work reviewable
The output matters. So does the record of what was checked, which version was used, and where review happened.
5 min readVersioning a recurring launch memo
How one recurring communication pattern improves as the team records its review decisions over time.
4 min readStart with one workflow.
Bring one workflow your team repeats, and we’ll turn it into a shared, reviewable playbook.