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Creating Agents in 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.

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Agent Creation Overview

Creating an agent involves several key steps:
1

Define the purpose

Determine the specific function and scope of your agent.
2

Configure capabilities

Set up the knowledge, tools, and parameters for your agent.
3

Test and refine

Validate that your agent performs as expected and make improvements.
4

Publish to AI Store

Make your agent available to yourself and others as appropriate.

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Starting the Agent Creation Process

1

Access the AI Store

Navigate to the AI Store from your Prisme.ai dashboard.
2

Initiate agent creation

Click the “Create Agent” button in the top-right corner of the AI Store.
3

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

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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

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Defining Basic Information

1

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”)
2

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
3

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.
4

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
5

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
6

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

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Configuring Instructions & Knowledge

The Instructions & Knowledge section is where you define your agent’s behavior and information sources:
1

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
2

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
3

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
4

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

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Selecting Model & Parameters

The model settings determine the underlying AI capabilities and behavior:

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Enabling Tools & Capabilities

Enhance your agent with specialized tools:
Canvas Configuration
Enable and configure Canvas functionality:
  • Toggle Canvas availability
  • Set default Canvas type (document, code, etc.)
  • Configure Canvas templates
  • Set export options
  • Define collaboration settings

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Setting Safeguards

Establish appropriate guardrails for your agent:
1

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
2

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
3

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
4

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

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Testing Your Agent

Before publishing, thoroughly test your agent to ensure it performs as expected:
1

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.
2

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
3

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
4

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

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Publishing Your Agent

Once you’re satisfied with your agent’s performance, you can publish it to the AI Store:
1

Review agent details

Double-check all configurations before publishing. The pre-publish review shows a summary of all agent settings and configurations.
2

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
3

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

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Managing Agent Versions

If the agent is created using AI Builder, Prisme.ai supports versioning to help you manage agent updates:

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Advanced Configuration with DSUL

For technical users, Prisme.ai supports advanced configuration using DSUL (Digital Service Universal Language):

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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.

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Troubleshooting Common Issues

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Next Steps

Now that you know how to create agents in the AI Store, you might want to explore:

Customizing Agents

Learn how to modify existing agents

Sharing Agents

Share your agents with colleagues

Managing Agents

Maintain and update your agents