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Builder

The Builder tab in Studio provides two powerful modes for creating chatbots, each designed for different use cases and complexity levels.

Overview​

DxConnect's Builder offers two distinct approaches to chatbot development:

  • Basic Flow: A visual workflow builder for creating rule-based chatbots with predefined conversation paths
  • Agent Flow: An AI-powered builder for creating intelligent agents that can handle complex, dynamic conversations

How to Switch Between Modes​

To switch between Basic Flow and Agent Flow modes, simply click on the mode selector button located at the top of the Builder interface. You can easily toggle between the two modes depending on your chatbot requirements.

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Basic Flow​

What is Basic Flow?​

Basic Flow is a visual workflow builder that allows you to create chatbots using a drag-and-drop interface. This mode is perfect for:

  • Simple to moderately complex chatbots
  • Rule-based conversations with predefined paths
  • Scenarios where you need precise control over conversation flow
  • Quick prototyping and testing

Key Features​

  1. Visual Workflow Editor

    • Drag-and-drop nodes to create conversation flows
    • Connect nodes to define conversation paths
    • Visual representation of the entire conversation structure

  2. Pre-built Nodes

    • Message nodes for sending text, images, and rich content
    • Input nodes for collecting user information
    • Condition nodes for branching logic
    • Integration nodes for connecting to external services

  3. Flow Control

    • Define specific conversation paths
    • Set up conditional branching based on user inputs
    • Create loops and recurring patterns
    • Handle fallback scenarios

When to Use Basic Flow​

Choose Basic Flow when you need:

  • Predictable conversation patterns
  • Step-by-step processes (e.g., form filling, surveys)
  • FAQ-style interactions
  • Simple customer service workflows

Agent Flow​

What is Agent Flow?​

Agent Flow leverages AI to create intelligent chatbots that can understand context, handle complex queries, and provide dynamic responses. This mode is ideal for:

  • Complex conversational AI applications
  • Natural language understanding requirements
  • Dynamic, context-aware conversations
  • Scenarios requiring flexibility and adaptability

Key Features​

  1. AI-Powered Understanding

    • Natural language processing for intent recognition
    • Context preservation across conversations
    • Entity extraction and slot filling
    • Multi-turn conversation handling

  2. Knowledge Integration

    • Connect to knowledge bases
    • Dynamic information retrieval
    • Real-time data processing
    • Learning from interactions

  3. Advanced Capabilities

    • Handle ambiguous queries
    • Provide personalized responses
    • Manage complex dialogue states
    • Seamless fallback to human agents

When to Use Agent Flow​

Choose Agent Flow when you need:

  • Natural, human-like conversations
  • Complex problem-solving capabilities
  • Dynamic response generation
  • Integration with AI models and knowledge bases