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An Agent is an autonomous AI that decides which tools to use based on user input. Unlike traditional workflows where you define every step, agents make intelligent decisions about what actions to take.

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The Key Difference

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Traditional Workflow

You build a fixed sequence: Trigger → Get Data → Process → Send Every input is predefined. The workflow always follows the same path.

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Agent Workflow

You provide tools and instructions. The AI decides: What data to get? How to process it? Where to send it? The agent adapts to different questions and contexts dynamically. Slack Marketing Bot Example

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Why Use Agents?

Perfect for unpredictable interactions:
  • Slack chatbots that handle varied questions
  • Customer support that needs different data sources
  • Research tasks where the path depends on findings
Not ideal for:
  • Predictable, repetitive tasks
  • When exact sequence matters
  • Performance-critical workflows

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How They Work

  1. You provide instructions - “You’re a marketing assistant”
  2. You connect tools - GA4, Google Ads, Email, etc.
  3. User asks questions - “How did our ads perform?”
  4. AI chooses tools - Pulls Google Ads data automatically
  5. AI responds - With insights and analysis
The agent maintains conversation memory and builds context over multiple interactions.

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Common Patterns

Marketing Assistant
  • Tools: GA4, Google Ads, Meta Ads, reporting
  • Platform: Slack, Teams
  • Handles: Performance questions, reporting requests
Data Analyst
  • Tools: Multiple data sources, analysis tools
  • Platform: Business dashboards
  • Handles: Ad-hoc analysis, insights generation

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Getting Started

Ready to build? Check the AI Agent node documentation for detailed setup and configuration.
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