Creating Agents
Learn how to build specialized AI agents in the Prisme.ai Store
Creating Agents in AI Store
The AI Store enables you to create specialized agents tailored to specific tasks, domains, and use cases. This guide will walk you through the process of building your own custom agents to enhance productivity and solve business challenges.
Agent Creation Overview
Creating an agent involves several key steps:
Define the purpose
Determine the specific function and scope of your agent.
Configure capabilities
Set up the knowledge, tools, and parameters for your agent.
Test and refine
Validate that your agent performs as expected and make improvements.
Publish to AI Store
Make your agent available to yourself and others as appropriate.
Starting the Agent Creation Process
Access the AI Store
Navigate to the AI Store from your Prisme.ai dashboard.
Initiate agent creation
Click the “Create Agent” button in the top-right corner of the AI Store.
Choose creation method
Select how you want to create your agent: Options include:
- Start from scratch: Build a completely new agent
- Use a template: Start with a pre-configured template
- Clone existing: Duplicate and modify an existing agent
- Import configuration: Use a DSUL or JSON configuration
Agent Configuration Interface
The agent configuration interface consists of several tabs where you can define different aspects of your agent:
In this tab, you’ll define the fundamental details of your agent:
- Agent Name: Clear, descriptive name for your agent
- Description: Detailed explanation of the agent’s purpose and capabilities
- Category: Primary classification for your agent
- Tags: Additional keywords to help with discovery
- Icon/Image: Visual identifier for your agent
- Visibility: Whether the agent will be listed publicly in the store
In this tab, you’ll define the fundamental details of your agent:
- Agent Name: Clear, descriptive name for your agent
- Description: Detailed explanation of the agent’s purpose and capabilities
- Category: Primary classification for your agent
- Tags: Additional keywords to help with discovery
- Icon/Image: Visual identifier for your agent
- Visibility: Whether the agent will be listed publicly in the store
Here you’ll configure your agent’s behavior and information sources:
- System Instructions: Core directives that shape the agent’s behavior
- Knowledge Bases: Connect to relevant organizational knowledge
- Pre-loaded Context: Information always available to the agent
- Grounding Sources: References the agent should rely on
- Response Style: Tone, length, and format preferences
Select and configure the AI model that powers your agent:
- Model Selection: Choose which LLM to use
- Creativity: Control creativity vs. determinism
- Context Window: Set the amount of conversation history to retain
- Token Limits: Configure maximum input/output lengths
- Advanced Parameters: Fine-tune model behavior
Enable specialized features for your agent:
- Canvas Access: Enable rich document creation
- Multimodal Features: Enable image and audio processing
- Custom Tools: Add specialized tools from the marketplace
- API Connections: Link to external systems and data
- Code Execution: Enable code running capabilities
Establish guardrails for responsible agent behavior:
- Fallback Responses: Configure replies for out-of-scope queries
- Warning Messages: Define cautions for certain topics
- Response Disclaimers: Add necessary qualifications to answers
- Sensitive Topics: Configure handling of delicate subjects
Defining Basic Information
Name your agent
Create a clear, descriptive name that indicates the agent’s purpose.
Best practices for agent names:
- Be specific (e.g., “Sales Proposal Generator” vs. just “Sales Helper”)
- Keep it concise (ideally under 30 characters)
- Avoid acronyms unless they’re widely understood
- Consider including the function or domain (e.g., “HR Policy Assistant”)
Write a description
Create a comprehensive description that explains what the agent does and how to use it. Effective descriptions include:
- The agent’s primary purpose
- Key capabilities and features
- Ideal use cases
- Any specialized knowledge or tools it uses
- Tips for getting the best results
Select a category
Choose the primary category that best represents your agent’s function. Categories help users discover your agent when browsing or filtering the AI Store.
Add tags
Include relevant tags to improve discoverability. Effective tags include:
- Related business functions
- Specific tasks the agent performs
- Industries or domains it specializes in
- Technologies or methodologies it uses
Choose an icon
Select or upload a visual identifier for your agent. You can:
- Select from the library of pre-designed icons
- Upload a custom image (recommended size: 256x256 pixels)
- Use the AI to generate an icon based on your description
Set visibility
Determine whether your agent will be listed in the AI Store.
Options include:
- Listed: Appears in the AI Store browsing and search
- Unlisted: Accessible only via direct link or to specified users
- Private: Visible only to you and those you explicitly share with
Configuring Instructions & Knowledge
The Instructions & Knowledge section is where you define your agent’s behavior and information sources:
Write system instructions
Create detailed instructions that guide how the agent behaves and responds.
Effective system instructions include:
- The agent’s role and perspective
- Response style and format guidelines
- Domains of expertise and limitations
- How to handle uncertainty or out-of-scope queries
- Specific protocols for specialized tasks
Connect knowledge bases
Link relevant knowledge bases to your agent.
You can:
- Select from existing organizational knowledge bases
- Create a new knowledge base specifically for this agent
- Configure how the agent prioritizes and uses different knowledge sources
- Set knowledge base query parameters
Add pre-loaded context
Provide information that should always be available to the agent.
Pre-loaded context can include:
- Key facts and reference information
- Guidelines and policies
- Templates or examples
- Frequently used data or terminology
Configure response style
Define how your agent should communicate.
Style parameters include:
- Tone (formal, conversational, technical, etc.)
- Typical response length
- Level of detail
- Use of examples and illustrations
- Technical language vs. simplified explanations
Selecting Model & Parameters
The model settings determine the underlying AI capabilities and behavior:
Enabling Tools & Capabilities
Enhance your agent with specialized tools:
Enable and configure Canvas functionality:
- Toggle Canvas availability
- Set default Canvas type (document, code, etc.)
- Configure Canvas templates
- Set export options
- Define collaboration settings
Enable and configure Canvas functionality:
- Toggle Canvas availability
- Set default Canvas type (document, code, etc.)
- Configure Canvas templates
- Set export options
- Define collaboration settings
Configure how your agent works with documents:
- Toggle document upload capability
- Set file type restrictions
- Configure size limits
- Enable/disable OCR features
- Set document processing parameters
Enable image and audio processing:
- Toggle image analysis
- Configure image generation (if applicable)
- Enable audio transcription
- Set quality and resolution parameters
Add specialized capabilities from the tool marketplace:
- Web search and browsing
- Calculation and analysis tools
- Data visualization
- Specialized API connectors
- Custom enterprise tools
Setting Safeguards
Establish appropriate guardrails for your agent:
Configure content filtering
Using prompt, set appropriate boundaries for content generation.
Options include:
- Content category restrictions
- Language and tone guidelines
- Industry-specific compliance settings
- Custom prohibited content rules
Create fallback responses
Define how your agent responds when it encounters queries outside its scope.
Effective fallbacks:
- Clearly explain the limitation
- Suggest alternative approaches
- Direct users to appropriate resources
- Maintain a helpful tone
Define warning messages
Create appropriate cautions for sensitive topics or uncertain information.
Warnings can be configured for:
- Speculative or uncertain information
- Potentially sensitive topics
- Legal, medical, or financial advice
- Experimental features
- High-stakes decision areas
Set up response disclaimers
Add necessary qualifications to certain types of responses.
Common disclaimer types:
- Expertise limitations
- Currency of information
- Need for human review
- Industry-specific regulatory disclaimers
- Data privacy notices
Testing Your Agent
Before publishing, thoroughly test your agent to ensure it performs as expected:
Enter test mode
Click the “Chat” button in the agent configuration interface.
Test mode provides a preview environment where you can interact with your agent before publishing.
Try diverse queries
Test a variety of inputs to verify the agent’s behavior.
Be sure to test:
- Core capabilities and primary use cases
- Edge cases and unusual requests
- Different phrasings and question types
- Complex, multi-part queries
- Inputs that should trigger safeguards
Verify tool functionality
If your agent uses tools, test that they work correctly.
For each enabled tool:
- Verify that it’s invoked appropriately
- Check that results are presented clearly
- Test error handling and fallbacks
- Confirm integration with the agent’s responses
Review and refine
Make adjustments based on testing results.
Common refinements include:
- Clarifying system instructions
- Adjusting model parameters
- Enhancing knowledge connections
- Improving fallback responses
- Fine-tuning tool configurations
Publishing Your Agent
Once you’re satisfied with your agent’s performance, you can publish it to the AI Store:
Review agent details
Double-check all configurations before publishing. The pre-publish review shows a summary of all agent settings and configurations.
Configure availability
Determine who can access your agent.
Options include:
- Public: Available to all users on your Prisme.ai instance
- Limited: Available to specific users or groups
- Private: Available only to you
- Organizational: Available across your entire organization
Set display options
Configure how your agent appears in the AI Store.
Options include:
- Featured image or promotional banner
- Short tagline for listings
- Example screenshots
- Whether to display user ratings
- Usage statistics visibility
Managing Agent Versions
If the agent is created using AI Builder, Prisme.ai supports versioning to help you manage agent updates:
Advanced Configuration with DSUL
For technical users, Prisme.ai supports advanced configuration using DSUL (Digital Service Universal Language):
Best Practices for Agent Creation
Define Clear Purpose
Create agents with specific, well-defined functions rather than general-purpose assistants.
Provide Detailed Instructions
Be comprehensive in your system instructions to guide the agent’s behavior effectively.
Connect Relevant Knowledge
Link to appropriate knowledge bases to enhance the agent’s expertise in its domain.
Choose Appropriate Models
Select the right LLM based on your agent’s specific requirements and use cases.
Test Thoroughly
Explore a wide range of inputs and scenarios to ensure your agent handles them appropriately.
Establish Clear Guardrails
Define proper safeguards to ensure responsible and appropriate agent behavior.
Optimize for Performance
Balance capabilities with efficiency to create responsive, effective agents.
Consider User Experience
Design with the end user in mind, focusing on accessibility and usability.
Troubleshooting Common Issues
Next Steps
Now that you know how to create agents in the AI Store, you might want to explore:
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