> For the complete documentation index, see [llms.txt](https://whitepaper.kinds.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.kinds.ai/decentralized-agent-layer-for-everyone/ai-agent-platform/create-and-customize-ai-agents/ai-agent-deployment.md).

# AI Agent Deployment

Deploying an AI Agent in the Kinds.ai ecosystem involves a seamless integration of on-chain and off-chain processes. This ensures that the agent is fully operational and ready for interaction upon creation while allowing for future updates and customization.

***

#### **Key Steps in AI Agent Deployment**

1. **AI Model Selection**
   * At the time of creation, a pre-defined cognitive model is assigned as the agent’s default core.
   * Users have the flexibility to modify or upload custom models to enhance their agent’s capabilities post-deployment.
2. **Character Card & AI Model Preparation**
   * A character card and the agent's cognitive core are created using user-provided information during the creation process.
   * This step ensures that the agent’s personality and functionality are aligned with user specifications.
3. **Mint Default Contribution**
   * To kickstart deployment, a default contribution for the agent’s cognitive model is minted, enabling immediate operability.
4. **Mint Contribution NFT**
   * A Contribution NFT is minted and linked to the agent’s Token-Bound Address (TBA), serving as proof of the contribution to the AI model.
5. **Create and Approve Contribution Proposal**
   * A proposal is generated, detailing the contributions to the agent’s AI model.
   * Using delegated voting power, the system or community approves the proposal, validating modifications to the agent.
6. **Mint Service NFT**
   * A Service NFT is issued to finalize the integration, allowing the AI model updates to be incorporated into the agent’s functionality.
7. **Model Update and Deployment**
   * The agent’s AI model is retrieved from IPFS and deployed into the Agent Runner, a specialized hosting environment that manages the agent’s Cognitive, Voice, and Visual cores.

***

#### **Creation Statuses**

The agent’s deployment progresses through real-time statuses, providing users with clear updates:

* **ACTIVATING:**\
  The agent is being minted on-chain while its off-chain deployment is finalized. This process typically takes less than five minutes.
* **AVAILABLE:**\
  Deployment is complete, and the agent becomes fully operational. Users can now interact with the agent via platforms like Telegram and customize its settings through the dashboard.

***

#### **Decentralized Updates**

Post-deployment, users can manage updates to the agent’s AI model or behavior through a decentralized contribution process. Changes are submitted as proposals and require community approval via delegated voting power to ensure transparency and accountability.


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