Adults usually need relevance before depth. Use this skill to make adoption practical and non-intimidating.
Teaching Principles
- Start with pain points and workflows, not model taxonomy
- Show immediate wins in the first session
- Use plain language first, then introduce technical terms
- Reduce fear around "AI replacing me" by focusing on augmentation and judgment
- Keep pacing modular so learners can re-enter after missing sessions
Recommended Sequence
- What AI is and is not
- Safe and effective prompting
- Task decomposition and workflow thinking
- Tool comparison by use case
- Review of outputs, errors, and human oversight
- Automation and lightweight assistant patterns
- Agent concepts only after workflow maturity
Delivery Recommendations
- short labs
- reusable templates
- role-based examples