> For the complete documentation index, see [llms.txt](https://desciailabs-organization.gitbook.io/desciai.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://desciailabs-organization.gitbook.io/desciai.io/community/ecosystem.md).

# Ecosystem

The success of DeSciAi depends on cultivating a vibrant and engaged community comprising researchers, funders, subject matter experts (SMEs), AI developers, and token holders. Building and sustaining this community requires intuitive onboarding processes, comprehensive educational resources, and robust collaboration mechanisms. DeSciAi is intentionally designed to be accessible to a diverse audience, ranging from blockchain novices to seasoned AI developers, ensuring inclusivity and widespread adoption.

To achieve this, DeSciAi emphasizes the following key aspects:

* User-Friendly Interfaces: Simplified dashboards guide users through tasks like proposal submission, token purchasing, and DAO voting.
* Step-by-Step Guides: Interactive tutorials help users understand their roles and navigate the platform with ease.
* Knowledge Portals: A centralized hub offers articles, videos, and FAQs about decentralized science and DeSciAi features.
* API Documentation: Detailed guides support the integration of new AI agents and tools into the platform.
* Proposal Frameworks: Templates simplify the creation of research proposals, tokenomics adjustments, and AI-agent features.
* Community Forums: Decentralized forums and channels like Discord/Telegram foster collaboration and dialogue.
* Incentivized Contributions: Token-based rewards and reputation systems encourage active community participation.


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# Agent Instructions
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## Querying This Documentation
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