Capability, not tool trivia

Skills for shared work

The durable advantage is not knowing every feature. It is knowing how to frame work, direct a collaboration, evaluate evidence, and take responsibility for the result.

Practice on a workflow

Coworkers learn AI work practices by comparing examples at a workshop table.

Four layers of practical AI literacy.

Every layer includes technical awareness, human judgment, and context. The skill is demonstrated in real work, not a quiz score.

Frame the work

Define the outcome, audience, constraints, evidence, and stakes before asking for output.

Practice it

Turn a vague request into a brief another person could evaluate.

Direct the collaboration

Break work into steps, assign roles, provide context, and decide when iteration is useful.

Practice it

Mark each task human-led, AI-assisted, or delegated with review.

Evaluate the result

Check claims, sources, reasoning, fit, bias, security, and consequences.

Practice it

Write a test before you accept the first plausible answer.

Learn and adapt

Reflect on errors, improve the workflow, share lessons, and know when to stop.

Practice it

Keep a short evidence log for one recurring use case.

What good looks like on the job.

Observable behavior matters more than generic claims of proficiency.

Frame

Names the outcome, constraints, stakeholders, and evidence.

Instead of

Starting with a tool or a clever prompt.

Challenge

Looks for disconfirming evidence and tests edge cases.

Instead of

Accepting confident language as reliable work.

Escalate

Recognizes when stakes, uncertainty, or novelty require help.

Instead of

Forcing automation into an unfamiliar exception.

Explain

Can describe how the output was produced and reviewed.

Instead of

Hiding the work behind a system or vague team ownership.

A four-week learning sprint.

Build capability in the flow of work. Keep the first use case narrow enough to inspect and safe enough to change.

Week 1

Observe

Capture one real workflow, its friction, and its exceptions.

Week 2

Practice

Test a bounded AI-assisted task with approved information.

Week 3

Evaluate

Compare quality, time, rework, and worker experience.

Week 4

Teach back

Explain the pattern, limits, and safeguards to a peer.

Operating guidance

The U.S. Department of Labor released an AI Literacy Framework in February 2026 to support foundational learning across roles and industries.

Review the Department of Labor release ↗

Turn learning into a team agreement.

Name what people may use, what requires review, where work must be recorded, and how anyone can raise a concern.

Open the team agreement