> ## Documentation Index
> Fetch the complete documentation index at: https://prismeai-legacy.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Store

> Learn how to use AI Store — Prisme.ai’s centralized environment for creating, publishing, and managing enterprise AI agents.

AI Store is Prisme.ai’s unified hub to **create, configure, and distribute AI agents** across your organization.\
It enables business and technical teams to publish their own agents securely — with full governance, visibility, and customization — while ensuring a consistent enterprise experience.

***

## Business Context

For large organizations adopting Generative AI at scale, centralization is critical.\
AI Store provides a **single, compliant catalog** where every agent can be created, versioned, and shared based on enterprise policies.

It simplifies:

* Deployment and configuration of AI assistants across business units.
* Management of models, prompts, and behaviors.
* Control of access, branding, and publication workflows.

***

## Key Capabilities

<Columns cols={2}>
  <Card>
    Create and publish enterprise-grade AI agents within a governed catalog.\
    Assign categories such as Marketing, Human Resources, or Engineering to structure your internal AI marketplace.
  </Card>

  <Card>
    Customize each agent’s **prompt, greeting message, and fallback response** directly from the Store interface — no code required.
  </Card>
</Columns>

<Columns cols={2}>
  <Card>
    Manage **model selection**, user experience, and feature visibility for each agent.\
    Enable or disable vision, image, or text models depending on the business use case.
  </Card>

  <Card>
    Access **usage analytics** for every agent — including message count, tokens consumed, and cost tracking — to monitor adoption and optimize performance.
  </Card>
</Columns>

***

## Learning Journey

<Steps>
  <Step title="Video 1 — Creating and Configuring an AI Agent">
    <iframe src="https://www.loom.com/embed/e5158048bd68491c811b73f231b50320" title="Loom video player" frameborder="0" className="w-full aspect-video rounded-xl" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen />

    **Objective of the use case:**\
    Learn how to create, configure, and publish your first AI agent in the AI Store.

    **What you’ll see:**

    * Browsing available agents by category (e.g., Marketing, HR, Engineering).
    * Creating a new agent with a name, category, description, and custom image.
    * Accessing the agent’s configuration panel with advanced options.
    * Editing the **prompt**, **welcome message**, and **fallback response**.
    * Customizing model selection and user interface settings.
    * Adding warning or policy messages at the start of each conversation.
    * Testing prompt changes (e.g., “speak in old English”) to validate agent behavior.
    * Managing responses: reactions, statistics, and regeneration.
    * Exploring model options for text, vision, and image generation.
    * Reviewing analytics on token usage, cost, and consumption.
    * Using the **embed feature** to integrate the chat agent externally (website, intranet, etc.).

    **Result:**\
    Teams can create specialized AI agents quickly, adjust their personality and scope, and publish them safely across departments — all under centralized governance.
  </Step>
</Steps>

***

## Practical Applications

| Department       | Use Case                        | Description                                                                     |
| ---------------- | ------------------------------- | ------------------------------------------------------------------------------- |
| Marketing        | Campaign Assistant              | Publish branded assistants to help teams generate campaign content faster.      |
| HR               | Employee Support Agent          | Provide internal assistance and automate HR FAQs securely.                      |
| IT / Engineering | Technical Troubleshooting Agent | Configure agents to assist employees with recurring IT issues.                  |
| Customer Support | Embedded Support Chat           | Integrate support agents directly into client portals or partner websites.      |
| Compliance       | Policy Advisor                  | Centralize validated AI agents to ensure compliant responses organization-wide. |

***

## Key Takeaways

* **Centralized creation and publication** of AI agents within a governed enterprise catalog.
* **Full customization** of prompts, greetings, and behaviors — without technical complexity.
* **Usage analytics and cost tracking** for transparent adoption monitoring.
* **Seamless integration** through embedded chat agents or internal workspace deployment.
* **Consistent governance and branding** across all AI-powered interactions.