Module 9 Summary: Planning, Checklists, and Everyday Productivity

Module ID: AIT-M09 Status: Source package created; public shell pending

What learners should remember

Learners can use AI to break tasks into steps, create practical checklists, estimate effort cautiously, and review plans for missing people, dependencies, approvals, and risks.

The module is practical. The learner should leave with a small piece of reusable work, not only an idea.

Evidence produced

• Project step plan.
• Reusable checklist.
• Risk review.
• Dependency note.
• Knowledge check score.

Ready for the next module when

The learner can:

• different planning needs call for different output formats.;
• ai can help list steps, but real constraints come from the learner.;
• effort estimates are guesses unless checked against real context.;
• checklists are useful when tasks repeat and errors are easy to miss.;
• a plan is weak if it ignores people and approvals.;
• a useful checklist is short, clear, and tied to a real repeated task.;
• explain what they will verify, edit, ask again, or reject.

Next module

Module 10 turns repeated work into reusable prompt templates.