Applying AI Fluency Basics
8 examples to get you started with AI Fluency Across Roles - 5 basic and 3 intermediate.
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8 examples to get you started with AI Fluency Across Roles - 5 basic and 3 intermediate.
Every task sits inside a role, and the role changes what "doing it well" means.
Before opening a chat with Claude, name the role you are acting in for this specific task: are you a student turning in work, an educator preparing a lesson, a staffer writing donor communications, or a developer reviewing generated code.
Related: How AI Fluency Looks Different Across Roles - the concept this walkthrough puts into practice
Delegation is the first decision point: what should Claude do, and what should you keep doing yourself.
Ask a simple question before delegating any task: "If Claude does this instead of me, what do I lose - time saved, or something I actually needed to do myself?"
Description is how clearly you tell Claude what you need, including the constraints Claude cannot guess.
A vague request like "write a project update" gets a generic answer.
A described request like "write a two-paragraph project update for a nonprofit board that expects plain language, no jargon, and a clear ask for volunteer hours" gets something usable.
Discernment is the habit of evaluating what Claude gives back instead of accepting it on sight.
Read the response and ask: does this reflect real understanding of the problem, or does it just sound confident?
Diligence is what you do after you accept Claude's output - how it gets used, shared, or built on.
Before sending, publishing, or submitting anything Claude helped produce, ask who is affected if it is wrong: a grader, a student, a customer, a donor, a teammate reviewing your code.
Take one real task from your role and walk it through Delegation, Description, Discernment, and Diligence in order, writing one line for each stage.
For example, a small business owner drafting a customer email: Delegation - "draft the first version, I'll edit the closing"; Description - "friendly tone, mention the delay, offer a discount code"; Discernment - "check the discount code and dates are actually correct"; Diligence - "this goes to 400 people, so I re-read it once more before sending."
The same type of task can call for different emphasis depending on who it affects.
Drafting a personal note to a friend and drafting an official statement from your organization both start with "ask Claude to draft it," but the second needs far more Discernment and Diligence before it goes out.
Many people are more than one role at once - a graduate student who also teaches, a nonprofit staffer who also codes internal tools.
When a task straddles two roles, apply both variants deliberately instead of defaulting to whichever one feels more familiar.
For a teaching assistant grading work, that means applying the student variant's Discernment habit to their own understanding of the material, and the educator variant's assessment-design thinking to how they evaluate submissions.
Related: Choosing the Right AI Fluency Variant for Your Context - compares every variant side by side | Common AI Fluency Pitfalls by Role - what happens when a stage gets skipped
Stack versions: Written against the Claude model lineup current as of ~June 2026 - Claude Fable 5, Claude Opus 4.8, Claude Sonnet 5 (the default), and Claude Haiku 4.5. Model names, pricing, and product features move quickly - verify current specifics at platform.claude.com/docs before relying on them.
Reviewed by Chris St. John·Last updated Jul 18, 2026