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Maax AI Documentation
  • Start Here
    • ▢️Welcome to Maax
      • How does it work?
        • Integrations
        • Dataflow
      • Accessing your account
    • πŸ“šSetting Up Your Knowledge Base
      • Uploading Content
        • Upload Best Practices
      • Testing Responses
    • πŸ’»Web App (Dashboard)
      • Maax AI Setup
        • Upload Content
        • Student Support
        • Sales
      • Leaving Feedback on Conversations
  • Setup Your AI
    • πŸ’ΈSales AI
      • 1. Product
        • 1a. Update Knowledge Base
        • 1b. Create a Product Description
      • 2. Strategy
      • 3. Goal and Goal URL
      • 4. Creating Your Sales AI
    • πŸ¦Έβ€β™‚οΈCustomer Support AI
      • Emergency Notification Setting
  • πŸ”„Setup Your Integration
    • V2 Sales AI - Zapier
      • 1. Send Question to Maax
      • 1a. Explanation of Python Code Step
      • 2. Catch and Map Response From Maax
      • 3. Catch and Map Follow Ups
      • 4. Set up Emergency Notifications
    • V1 Customer AI - Zapier
      • Step 1 – Starting your Zap
      • Step 2 – Use Zapier Python to Send Your Question to Maax
        • Follow-up Message Handling
      • Step 3 – Delay Your Request
      • Step 4 – Get the Answer
      • Step 5 – Map the Answer
    • Example Use Cases
      • Gmail Customer Support Automation with Zapier
  • Technical Guides
    • πŸ”—APIs
      • V1
        • Authentication
        • Base Url
        • Conversations
        • Products
        • Strategies
        • Goals
        • Sales AIs
      • V2
        • Authentication
        • Base Url
        • Outgoing Messages
        • Conversations
    • πŸ‡Explanatory Diagrams
      • Advanced - MAAX AI API Model Architecture
      • Answer Generation With MAAX AI
  • πŸ’¬ Building Good Prompts
    • [Use Case] Engage Cart Abandons
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On this page
  • Top-Level Architecture Overview
  • 1. Web App Overview (https://app.maax.ai/)
  • 2. API Overview
  1. Technical Guides

Explanatory Diagrams

In this section we present a set of sketches that visually explain how MAAX AI is designed and how different pieces fit together.

PreviousConversationsNextAdvanced - MAAX AI API Model Architecture

Last updated 1 year ago

Top-Level Architecture Overview

Let's start by understanding the two basic components of Maax AI:

1. ()

2.

The following image illustrates a basic top-level overview of how you will be using MAAX AI to automate your customer support and sales conversations

MAAX API is a set of endpoints that your tech team will be interacting with. These endpoints will allow you to feed an incoming message from a user into MAAX AI, and get an answer that gets sent back to the customer.

MAAX AI is intelligently designed to consider the history of a conversation with a specific prospect, utilizing the settings configured in the dashboard.

The technology you use for marketing, sales, or customer support, which may include tools like CRMs, Zapier, Mailchimp, ManyChat, etc., is where you'll engage with MAAX API.

For instance, you can configure Zapier so that each time a new email arrives in a particular inbox, the email body is inputted into the MAAX API, which generates a response that is then sent back to the customer.

For more examples, refer to our use cases, or feel free to reach out to us at for assistance.

πŸ‡
support@maax.ai
Web App Overview
https://app.maax.ai/
API Overview