# TEACH Workflows and Adoption

## Eighteen ready-to-launch workflows

1. Daily Educator/Designer Brief
2. Weekly TEACH Reset
3. Outcome-to-learning-experience design
4. Course or module build and revision sprint
5. Session or lesson launch pack
6. Accessibility and inclusive-design release gate
7. Authentic assessment and blueprint design
8. Evidence-first feedback with human grading
9. Academic-integrity and AI-use plan
10. Clinical or simulation design, verification, prebrief, and release
11. Learner-support conversation and referral preparation
12. Curriculum, competency, and accreditation evidence mapping
13. Approved aggregate learning-evidence sensemaking
14. Copyright, OER, and media clearance
15. Faculty-development or learner AI-literacy workshop
16. Governed learning-technology or automation pilot
17. Scholarship, promotion, and portfolio sprint
18. Overload Rescue and Minimum/Re-entry Mode

## Seven-Day TEACH Launch

- **Day 1 — Authority and boundaries:** select role adapter, active context, data boundary, institutional unknowns, and human approval routes.
- **Day 2 — True North:** define teaching/design promise, 90-day outcomes, learner outcome, and protected-life commitment.
- **Day 3 — Alignment:** map one approved outcome to learning, practice, assessment, and feedback.
- **Day 4 — Release quality:** run source, version, rights, accessibility, inclusion, clinical-safety, and anti-slop checks.
- **Day 5 — Assessment or feedback:** design one low-risk synthetic artifact and preserve faculty grading authority.
- **Day 6 — AI literacy and workflow:** rehearse TEACH Gate and one manual synthetic workflow; do not connect or automate it.
- **Day 7 — Stewardship:** decide Retain, Revise, Pause, or Remove; select at most one optional power to preview.

## Thirty- and ninety-day adoption

During days 8–30, activate no more than three low-risk powers, one at a time, after preview. Complete three supervised successful runs before any low-risk automation review. At day 30, validate usefulness, accessibility, learner impact, workload, authority, and unintended effects.

During days 31–90, run one bounded course, module, simulation, faculty-development, or design-project pilot with one learner-learning outcome, one educator/designer capacity outcome, and one AI-governance capability outcome. Include equity, accessibility, burden, balancing measures, expiry, fallback, and stop conditions. Do not claim outcomes beyond a governed evaluation.
