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Agent Operating Procedures (AOPs) are pre-configured AI workflows that automate complex tasks through intelligent, repeatable processes. Think of AOPs as your AI-powered standard operating procedures that can perform research, analysis, content generation, and decision-making tasks with minimal human intervention.

Market Analysis AOP Workflow

AOPs represent a revolutionary approach to workflow automation, combining the flexibility of AI with the reliability of structured processes. Each AOP contains:
  • Intelligent Prompts: Carefully crafted instructions that guide AI behavior
  • Dynamic Parameters: Configurable inputs that adapt the AOP to different scenarios
  • Tool Integration: Access to Athena’s comprehensive toolkit for various tasks
  • Execution Modes: Multiple ways to run AOPs based on your needs

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Key Features

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Dynamic Parameter System

AOPs use a powerful parameter system that makes them highly adaptable:

Text Inputs

Simple text parameters for names, descriptions, and custom instructions
Example: [[company_name|type=text]]

Asset Selection

Select specific assets like documents, databases, or presentations
Example: [[documents|type=assetSelector|filterType=document]]

Option Selection

Choose from predefined options for consistent results
Example: [[priority|type=textOptions|options=High,Medium,Low]]

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Spreadsheet Integration

AOPs can be executed directly on spreadsheet data, enabling automated data processing workflows. Use AOPs to analyze datasets, generate insights, create reports, or perform complex calculations on your Athena Sheets without manual intervention.
Learn how to use AOPs inside Athena Sheets here

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User Interface Integration

Integrate AOPs into custom User Interfaces to create powerful business applications. Users can trigger AOPs through buttons, forms, or automated workflows within your custom dashboards, enabling self-service analytics and automated business processes.
Check out how to execute AOPs inside User Interfaces here

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Custom Agent Configuration

Configure AOPs with specific agent personas, model selections, and tool access permissions. Customize how AOPs execute by selecting the appropriate AI model, defining the agent’s capabilities, and setting execution parameters to match your specific use case requirements.

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Multiple Execution Modes

AOPs offer flexibility in how they’re executed:
  • API Mode: Direct execution with immediate results
  • Async API Mode: Background processing for long-running tasks
  • Chat Integration: Interactive execution with conversational feedback
  • SDK Integration: Programmatic execution via Python SDK