Free workshop: Delegate your daily work to AI
Bring one repetitive task. Leave with a checked first result and an agent-ready brief.
A practical, tool-neutral introduction to Claude Cowork, ChatGPT Work and AI agents. No paid AI account is required to complete the fictional exercise.
60 minutes suggested practice · Free, written and self-paced · No certificate or video promised
Your learning outcomes
- Choose a realistic, low-risk task
- Write a clear delegation brief
- Run and review one workflow
- Choose whether an agent is justified
0 of 5 activities checked
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00–10 min · Pick the right work
The best first delegation is frequent, bounded, and easy for you to evaluate.
Follow along
- Write down three tasks you repeat every week.
- Score each 1–3 for repetition, stable inputs, easy review, and low error cost.
- Choose the safest task; do not select sensitive client communications or irreversible transactions.
- Record how long it takes you today, including revisions.
A chosen task, success measure, baseline minutes and clear human owner.
Copy and adapt this prompt
Compare these three work tasks for a beginner AI workflow: meeting action summary, weekly status report, and replying to a customer complaint. Score repeatability, input clarity, approval needs, failure cost, and review effort. Recommend a low-risk first pilot and explain why.The result is observable and a human can approve it before use.
Remember: Avoid claiming any time savings before measuring the complete process.
10–25 min · Build the brief
Agents work more reliably when the input, output, quality rule, and permissions are explicit.
Follow along
- Use invented project notes or a document you have permission to share.
- Name the audience, objective, source of truth, required sections, length and deadline.
- List forbidden actions and what the AI must do when a fact is missing.
- Require a draft first, with sources and open questions.
A reusable delegation brief with a review/approval gate.
Copy and adapt this prompt
Act as an operations assistant. Use only the following fictional notes: [PASTE NOTES]. Produce a one-page action summary with decisions, owner, due date, blocker and source quote for each item. Do not invent owners or dates. Mark gaps as NEEDS CONFIRMATION. Draft only; do not send messages or change any systems.All factual claims trace back to the supplied notes.
Remember: A polished answer can still be wrong; factual evidence matters more than formatting.
25–40 min · Do a first run
Compare the result to the source material, not to what sounds plausible.
Follow along
- Open an approved AI tool you already use, or work through the example on paper.
- Paste your brief and permitted fictional notes; ask for an output.
- Compare the summary, owner and dates to the notes line by line.
- Request one correction and save the revised version.
A first draft and a separate reviewer pass.
Copy and adapt this prompt
Review the draft above against the source notes. For each action show the supporting source text or mark UNVERIFIED. List contradictions, missing decisions and the one question a human needs to answer. Do not silently fix uncertain facts.At least three source-to-output comparisons; unknowns visibly labeled.
Remember: Do not grant live posting, file deletion, spending or sending permissions in this first exercise.
40–50 min · Turn the task into an agent-ready workflow
Only after a successful pilot should you consider connectors, scheduling or specialist agents.
Follow along
- Name the trigger: manual request, a scheduled review, or an approved event.
- Map where inputs come from and where reviewed results go.
- Identify what the agent can do independently versus what needs approval.
- Write two failure cases: incomplete notes and contradictory dates.
One simple workflow map, approval boundary, and two test cases.
Copy and adapt this prompt
Turn my tested action-summary brief into an agent workflow specification. Include trigger, authorized input, data restrictions, draft output, approval step, two failure tests, logging, stop rule, and rollback. Keep all external actions in proposal mode until I approve them.The draft stays useful even without a connector or premium feature.
Remember: An AI prompt does not technically enforce permissions; settings and application controls must.
50–60 min · Keep, improve or stop
Good AI adoption measures accepted work, total effort and failure handling.
Follow along
- Add your setup, correction and review minutes.
- Check whether output quality meets the rule you wrote.
- Decide keep, revise or stop for this task.
- Download the workbook and choose the next specialist course.
Completed workbook and one measurable next experiment.
Copy and adapt this prompt
Evaluate this pilot using my baseline minutes, AI setup time, review time, errors and accepted output. Present keep, improve or stop, with one next experiment and an explicit list of unknowns. Avoid projecting savings from a single run.An accountable human owns the result and the next step.
Remember: Never interpret a workshop completion checkmark as certification or a professional qualification.
Keep your work. Use it again.
Test the workflow on a second example before connecting accounts or automating. If you need feedback on a real project, bring your sanitized brief to a private working session.
All five activities checked. Revisit the quality gates on a fresh example to validate your work.
Product documentation and next steps
Tools and plan entitlements can change. Check your provider and workspace access before following interface instructions.
Existing AI Teachers resources: Agent to Outcome · All free written courses
Updated 2026-10-25. Paid group cohorts, certification, and live dates are not represented as currently available.