Delivery path
We treat learning like a release train: visible stages, explicit owners, and rollback plans when a prompt pattern does not survive contact with production noise.
01 — Artifact intake
You submit real briefs, tickets, or notebooks—sanitized—so facilitators read cold. No vanity decks; we want the messy version.
02 — Pattern forge
Learners draft skeleton prompts, pairwise grids, or routing tables under timeboxes. Facilitators respond with line-level notes, not cheerleading.
03 — Calibration or CI fit
Evaluation tracks run calibration drills; automation tracks wire gates into CI templates. You decide what stays human vs. machine-checked.
04 — Story export
Every participant packages artifacts into markdown leadership can skim in seven minutes—no wall-of-text dumps.
05 — Retro with teeth
We keep a living “do not reuse” list so teams avoid superstitions. If a pattern failed twice, it gets archived with reasons.
Before / after snapshot
Before
Prompts live in Slack threads, reviewers disagree silently, automation is an aspirational slide.
After
Prompts live next to artifacts, grids show disagreements explicitly, automation gates fail loudly with rollback text.