Agent Studio
Agent Studio enables the creation, configuration, and management of generative AI Agents within the Athena ecosystem. These agents evolve from simple assistance capabilities to highly specialized, collaborative, and domain-specific roles. Each agent in Agent Studio functions as an SME in its designated area, capable of guiding users through related tasks, workflows, and queries with precision.
Navigate to AI Studio > Agent Studio from the menu on the left.
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The Agent Studio is grouped into three primary categories:
AI Agent Solutions
AI-Powered Prediction Workflows, and
Smart AI Models,
each serving a distinct purpose within Athena’s intelligent automation framework.
Agents
AI Agent Solutions are configurable, domain-specific assistants built to perform focused tasks across automation, analysis, and intelligent assistance. Each agent acts as an SME, offering contextual insights and real-time guidance to streamline workflows, analyze data, and improve operational efficiency.
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Click View All to see all available AI Agents, or select the My Agents tab to view the ones you’ve created.
Using Agents
To try an existing agent, click Try It Now beside the desired agent card, or select it directly from the My Agents list.
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If you have the appropriate permissions, you can also use the Copy & Edit option to modify the agent’s configuration.
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The action menu also provides additional options, including Reset Thread to start a new conversation and View Thread History to review previous interactions.
Creating Agents
Click on the Create button on the top-right and select Agent from the dropdown.
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Complete the configuration form by entering the required details for your new agent.
Field Name | Description / Purpose |
|---|---|
Agent Name | The unique name identifying your agent. Use a descriptive title that reflects the agent’s purpose (e.g., “Subject Line Generator,” “Campaign Optimizer”). |
Business Goals (Optional) | Define the primary objectives or outcomes the agent should focus on, such as improving engagement, automating tasks, or generating insights. |
Instructions | The main system prompt for the agent. Describe its role, behavior, and how it should respond to users. This defines how the AI interprets inputs and produces outputs. |
Description | A short summary explaining what the agent does. This appears in agent listings and helps users understand its purpose at a glance. |
Conversation Starters (Optional) | Predefined sample prompts to help users start interactions with the agent effectively. Used to demonstrate capabilities or guide usage. |
Best Practices (Optional) | Guidance or recommendations for users on how to phrase prompts for optimal results. Helps improve response quality and consistency. |
How to Use | Instructions or examples that show how users can interact with the agent. Can include scenarios, input examples, or step-by-step workflows. |
Reference Documents | Upload supporting materials (e.g., PDFs, briefs, guides) that the agent can reference for contextual knowledge. |
Read Permissions | Defines who can access and use the agent: Self, Selected Account, or All Accounts. Controls visibility. |
Edit Permissions | Defines who can modify or manage the agent’s configuration: Self, Selected Users, or Anyone. |
Capabilities | Select specific AI features or integrations the agent can use, e.g., Image Generation, Campaign Information, Insights, Web Search, Forecasting, etc. |
Actions | Create or define new custom actions the agent can perform, such as “Generate Report,” “Summarize Feedback,” or “Analyze Campaign Data.” |
Once the agent is saved and published, you can test and interact with it directly in the preview panel.
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