Grounding
Give AI relevant context, source material, constraints, and a clear definition of the task.
Learn the foundations of AI-Augmented work
Build the judgment and vocabulary you need to use AI with confidence and care.
Effective individual use begins with the work itself. Understand the context, give AI the right inputs, check what it produces, and keep ownership of the final result.
Explore the frameworkFour ideas to practice
Validation
Check facts, reasoning, completeness, and fit against the standards of your work.
Correction
Use errors and weak results as feedback to improve the request, inputs, or workflow.
Ownership
Keep human responsibility for decisions, sensitive information, and the final work product.
Learn through a real task
Choose a recurring task you already understand. Compare your usual process with an AI-assisted version, write down the review points, and decide whether the result is clearer, faster, or more useful.
Small experiments create better learning than tool collecting. Keep the task bounded so you can see what changed and why.
Continue your path
- Take the assessment to identify your current maturity stage.
- Apply the method with a practical workflow and toolkit.
- Get guided support when you need help shaping a more complex workflow.
Individual learning loop
Diagnose one recurring task, Activate a bounded AI use, establish Controls for sources and release, Execute with review, Measure what improved, and Scale only the practice you can repeat.
Practice output
Create a short Integrity Packet containing the intended outcome, assumptions, evidence, validation performed, owner, and residual risk.
Human checkpoint
You decide whether the result is accurate, useful, appropriate to share, and ready to become part of your normal work.