THE AGENT LAB

From asking
to accomplishing.

Explore the decisions behind a connected workflow. Choose what information to use, inspect a proposed result, and decide when to act.

TRY A SIMPLE AI WORKFLOW

Illustrative preview. No live AI or connected accounts.

What makes this a workflow?

A workflow connects a goal to a sequence of steps. In this example, an agent would read permitted notes, extract tasks, prepare a draft, and pause for human review before changing a task list.

The permission is part of the task.

Access to notes does not automatically mean permission to send email or modify a calendar. Give each tool only the access needed for the task. Confirm proposed changes before allowing consequential actions.

1Request2Plan3Act4Verify5Approval6Complete

This lab is a local, authored simulation. No AI model runs and no external accounts are connected.

Practice reviewing a result

FROM NOTES TO NEXT STEPS

The meeting ends.
The useful work begins.

Sarah has three client calls and a page of hurried notes. Instead of rewriting everything, she asks AI to separate actions from open questions. She still decides what gets sent.

The skill you learnDesign an agent workflow with a clear review checkpoint.

Try the free practical lesson ↗
WORKFLOW IN MOTION20 SEC · SAMPLE DATA
YOUR INPUT

Maya: revise the proposal

Leo: check the budget

Next meeting: date not agreed

YOUR INSTRUCTION

Create an action plan using only these notes. Mark missing owners and dates. Do not send anything.

A DRAFT YOU CAN CHECK
ActionOwnerReview
Revise proposalMayaConfirm date
Check budgetLeoConfirm date
Arrange follow-upUnassignedAsk the team

Two dates and one owner are missing. The draft flags them instead of inventing them.

Ready to explore

Illustrative walkthrough. No live AI or connected accounts. You control playback.

YOUR COURSE COMPANION

A little guidance?

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