How Metagraph Agents Work

Understand the seamless flow of communication between consumer AI agents and Metagraph business agents to automate tasks like appointment scheduling.

1. User Initiates Request

A consumer interacts with their preferred personal AI assistant (e.g., on their phone, smart speaker, or integrated app) and makes a request, like 'Book a haircut at The Modern Barber for tomorrow afternoon'.

Step 1: 1. User Initiates Request

2. Consumer Agent Analyzes

The consumer's agent understands the intent (book appointment), extracts key details (service, business, time preference), and identifies the need to interact with 'The Modern Barber'.

Step 2: 2. Consumer Agent Analyzes

3. Agent Discovery & Connection

The consumer agent queries the Metagraph network (or a similar directory) to find the registered AI agent for 'The Modern Barber'. It then establishes a secure connection using standardized protocols.

Step 3: 3. Agent Discovery & Connection

4. Business Agent Processes

Metagraph's agent for 'The Modern Barber' receives the request. It checks the barbershop's real-time availability (accessing their calendar/booking system via secure APIs), identifies suitable slots based on the user's preference, and proposes options.

Step 4: 4. Business Agent Processes

5. Secure Negotiation & Confirmation

The agents securely negotiate the final time. The consumer's agent might confirm with the user if needed, or automatically select the best fit. Once agreed, the Metagraph agent books the appointment in the business system.

Step 5: 5. Secure Negotiation & Confirmation

6. Task Completed & Confirmed

The Metagraph agent confirms the booking success to the consumer agent. The consumer agent then notifies the user: 'OK, I've booked your haircut at The Modern Barber for tomorrow at 2:30 PM.' The appointment also appears in the user's calendar.

Step 6: 6. Task Completed & Confirmed

Key Principles

Secure & Standardized

Communication uses secure protocols and standardized formats for interoperability.

Autonomous Operation

Agents handle the back-and-forth negotiation without direct user intervention for most steps.

Real-time Integration

Business agents connect to actual business systems (calendars, databases) for accurate information.

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