The AI-Pedagogy Cycle (your “why → how → what” workflow)

1. Purpose — Why do I want AI in my classroom? What learning goals does it unlock that I can’t do (or can’t do as well) without it?

2. Teacher AI Literacy — Understand AI’s strengths/limits, safe use, and where it fits (and doesn’t) in your context.

3. Vetting & Selection — Use a tool-evaluation checklist (privacy, accuracy, transparency, accessibility, cost, fit-to-goals).

4. Shared Agreement — Co-create AI norms with students: when it’s allowed, how to cite/use it, and how to verify/reflect.

5. Iterate — Review what worked, adjust prompts/activities, and update your agreement & rubric together.
   This cycle keeps practice grounded in pedagogy—not hype.

Whether you’re preparing a workshop at Incubator.org, creating course materials, or just trying to level up your own learning, these AI-powered prompt styles give you superpowers. Use them with ChatGPT, Claude, Gemini, or other LLMs to speed up understanding, boost memory, and personalize your study journey.

A practical path for teachers, student learners, student entrepreneurs, adult up-skillers, and solo pros—focused on quick wins, ethical use, and portfolio-ready projects.

Audience: teachers, student-learners, community mentors, and beginner builders using Incubator.org.
Use this guide: Every term has a short, human-readable definition plus at least one way to try it yourself using widely-used tools (most are free or have generous tiers). Scan the glossary for fast definitions, then jump to the Try it / Tools snippets to actually do something with each idea. Copy the prompt boxes into your AI tool of choice and adapt them for class, self-study, or a workshop.