> For the complete documentation index, see [llms.txt](https://shihu.gitbook.io/shihu-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://shihu.gitbook.io/shihu-whitepaper/the-origin/ai-integration/personalized-ai-for-creators.md).

# Personalized AI for Creators

**AI Mix** empowers users to customize AI agents to meet specific project goals, transforming AI into a flexible and adaptable feature within Shihu:

* **Customization of AI Agents:** Users can tailor AI agents with the functionalities they desire. For example, an AI designed for trading predictions can focus on analyzing market trends, while an AI for customer engagement can be optimized for personalized interactions. 
* **Project Data Integration:** Users can supply documents, datasets, or even simple prompts to help the AI gain a better understanding of the project, ensuring that it remains relevant and efficient. 
* **Adaptive Learning:** AI Mix continuously improves based on user feedback, optimizing performance over time and evolving alongside the project's needs. 

This approach ensures that AI is not just a generic tool but a purpose-built collaborator designed to align precisely with each user's unique objectives.

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