Taking the Lead with AI: Planning, Decisions and Results
Guided practice in choosing and adapting a plan, producing outputs and checking completion.
What you learn
A revised personal plan, two checked office outputs and a reusable method.
What you need first
Workshop One, “Putting AI to Work: Your First Practical Skills”; familiarity with Session Level One, “Beyond Chat: Understanding and Working with AI,” and Session Level Two, “The Principles of AI Collaboration: Context, Planning and Review,” or equivalent experience.
Curriculum
7 chapters
- 1
Defining a Good Result
Practice deciding, in your own words, what a good result looks like before asking AI to plan a task.
- 2
Choosing and Improving a Plan
Practice comparing feasible options against your own goal and directing one justified change instead of accepting the first plan.
- 3
Responding to a Change
Practice telling changed facts and unrelated notes apart, and checking whether a change actually affects your chosen plan.
- 4
Planning the Work Before Producing It
Practice reviewing and correcting an AI work plan before any output is produced, for a clear and stated reason.
- 5
Completing the Agreed Work
Practice producing two related outputs from the latest approved facts, saving progress, and continuing from saved files in a fresh session.
- 6
Deciding Whether the Work Is Done
Practice judging whether a task is complete by checking a completion claim against the actual saved files and the original scope.
- 7
Reusing the Method with New Facts
Practice separating reusable steps from meeting facts and applying them to a new task.
Available dates
Dates announced shortly.