Agent Workflow Simulation

This visualization demonstrates how an AI agent tackles a multi-step task. Here, the agent is asked to "Book a meeting and send a summary email." It defines the goal, creates a plan, executes the steps, and verifies the outcome.

Define Goal

The agent first understands the end goal from the user's prompt: 'Book a meeting and send a summary email.'

→Identify key entities: 'meeting', 'summary email'.

→Establish success criteria: A calendar event is created and an email is sent.

Create Plan

The agent breaks down the goal into a sequence of actionable steps.

→1. Access calendar to find availability.

→2. Book a time slot using a 'bookMeeting' tool.

→3. Draft a summary email.

→4. Send the email using a 'sendEmail' tool.

Execute Steps

The agent executes the plan, calling tools and handling outputs at each stage.

→Calling tool: bookMeeting(attendees, time).

→Tool returns: { success: true, eventId: '123' }.

→Calling tool: sendEmail(recipient, subject, body).

→Tool returns: { success: true, messageId: 'xyz' }.

Verify Outcome

The agent confirms that all steps were completed successfully and reports back to the user.

→Confirm calendar event '123' exists.

→Confirm email 'xyz' was sent.

→Final response: 'The meeting has been booked and a summary email has been sent!'