1. A workflow is a series of steps

A single prompt can help with a task. A workflow describes when the task happens, what goes in, how the result is reviewed and what you do next. You can use AI without full automation.

2. The workflow recipe

Start with a trigger (when it happens), input (safe information you provide), instructions (what to produce), verification (what you personally check), approval (who decides) and output (where the finished result goes).

3. Example: a weekly personal plan

Trigger: Sunday evening. Input: non-sensitive tasks and available hours. AI task: group tasks and propose a realistic timetable. Review: check commitments and priorities. Output: enter the accepted plan into your own calendar. The AI hasn’t booked anything unless an approved integration confirms it.

4. Make failures visible

Ask “What happens if the input is incomplete?” and “What if the AI misunderstands a date?” Build checkpoints to catch mistakes. For sensitive or external actions, require explicit human approval.

5. Leave automation for the right stage

Automatic email sending, connected apps and background monitoring can be useful, but they also involve permissions, security and error recovery. Here we design the process clearly; later stages can explore connected execution.

See it in action

This example shows how to apply the lesson. You can reuse the structure with safe, fictional or public details.

Your practical exercise

Choose one recurring low-risk task. Draw or write six boxes: trigger, input, instruction, output draft, review and final action. Try it once. Record which step was useful and which needs changing.

Check your understanding

Answer in your own words before opening each explanation.