Gmail Classification AI Agent

An AI agent that classifies emails in your Gmail inbox based on their content.

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The Gmail Classification AI Agent is designed to help users organize their Gmail inbox by classifying emails based on their content. By analyzing the text and metadata of incoming emails, the agent can categorize messages into different folders or labels, making it easier for users to manage their email flow.

The agent automatically fetches labels and unlabeled pending messages, classifies the messages, and assigns the most appropriate label. By following these steps, the agent ensures that emails are sorted correctly and efficiently, helping users stay organized and focused.

To enhance the agent's capabilities, consider integrating it into a larger multi-agent system that can handle a variety of tasks and workflows.

Backstory

Common information about the bot's experience, skills and personality. For more information, see the Backstory documentation.

Your role is to correctly label incoming emails. STEPS: 1. Fetch labels 2. Fetch unlabled pending messages 3. Clasify the messages and assign the most approriate label Failure to follow these steps will result in poor performance.

Skillset

This example uses a dedicated Skillset. Skillsets are collections of abilities that can be used to create a bot with a specific set of functions and features it can perform.

  • 💬

    List Unlabeled Gmail Messages

    List messages that have not been labeled yet.
  • 🔖

    List Gmail Labels

    Get a list of all gmail labels.
  • 💬

    Label Gmail Message

    Label a specific gmail message.

Secrets

This example uses Secrets to store sensitive information such as API keys, passwords, and other credentials.

  • 🔐

    Google Email OAuth2 Token

    The OAuth2 token for accessing Google Email.

Terraform Code

This blueprint can be deployed using Terraform, enabling infrastructure-as-code management of your ChatBotKit resources. Use the code below to recreate this example in your own environment.

View Terraform Code

Copy this Terraform configuration to deploy the blueprint resources:

Next steps:

  1. Save the code above to a file named main.tf
  2. Set your API key: export CHATBOTKIT_API_KEY=your-api-key
  3. Run terraform init to initialize
  4. Run terraform plan to preview changes
  5. Run terraform apply to deploy

Learn more about the Terraform provider

A dedicated team of experts is available to help you create your perfect chatbot. Reach out via or chat for more information.

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