All workshops45 minutes · Self-paced written workshop

Build a calmer working week

Find one useful workflow and decide where any saved time should go.

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What you need

A notebook or document, a small idea, and access to an approved AI tool if you choose to use one. Use fictional or permitted material. Follow the agenda at your pace; the times are planning estimates.

0–10 minutes

Find the friction

List five recurring tasks and the time each usually takes. Mark which ones have clear inputs and a result you can review.

Practice example

Examples: organize notes, draft an internal update, compare versions, prepare a meeting agenda, or outline a personal project.

Your deliverable

Choose one low-risk task you understand well.

10–25 minutes

Try an AI-assisted version

Write a brief with the goal, permitted inputs, constraints, and expected format. Run one example in your approved tool and keep the original output.

Practice example

Try turning fictional notes into an agenda. Ask the assistant to flag missing owners or dates instead of guessing.

Your deliverable

Save the instruction, draft, and a corrected result.

25–35 minutes

Count the whole process

Measure preparation, generation, review, and rework. Compare quality with your usual process. Record differences between the examples.

Practice example

If review is taking longer than the old task, simplify the workflow or choose another task. Faster drafting alone does not prove a saving.

Your deliverable

Complete a before-and-after comparison with a quality note.

35–45 minutes

Protect the benefit

Document when the workflow is useful and when to stop. Choose a second example to try this week. Decide what you want any freed capacity to support.

Practice example

That might be less overtime, time with family, deeper work, or a creative project—not necessarily more tasks.

Your deliverable

Write a repeatable recipe and a practical plan to test it again.

Finish with a useful reflection

What did you make? What can you explain? What did you verify, and what remains uncertain? Keep your work and try the process again on a new example.