> For the complete documentation index, see [llms.txt](https://docs.din.lol/din-cook-data-for-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.din.lol/din-cook-data-for-ai/turkiye/din-projesi-hakkinda/genel-bakis.md).

# Genel Bakış

<figure><img src="/files/iSV4xr0qENNRbTEDyox1" alt="" width="179"><figcaption></figcaption></figure>

DIN, BNB Chain üzerindeki **İlk Yapay Zeka Ajan Blok Zinciri**dir.

**Veri Zekası Ağı (Data Intelligence Network, DIN)** temelinden oluşturulan DIN, yapay zeka ajanları ve merkeziyetsiz yapay zeka uygulamaları (dAI-Apps) için kapsamlı çözümler ve altyapı sağlamak üzere tasarlanmıştır.

🔗 Linkler

* Website: <https://din.lol/>
* X(Twitter): <https://twitter.com/din_lol_>
* Discord: <https://discord.gg/wjD2aumhrJ>
* Telegram: <https://t.me/+T3UaIjcDrHQ1ZjZl>
* Medium: <https://dinlol.medium.com/>

📌 Arka Plan

* Resmi olarak [Web3Go](https://www.globenewswire.com/news-release/2023/7/5/2699615/0/en/Web3Go-DIN-Creating-AI-Native-Digital-Assets-Redefining-Production-Relations-with-Blockchain.html) olarak adlandırılmıştır.
* Toplamda Binance Labs, Hashkey Capital, NGC, Shima Capital, IVC, LIF, Big Brain Holdings, Archerman Capital, Manta Network, Maxx Capital, 071 Labs ve diğerlerinden [8](https://cointelegraph.com/press-releases/binance-backed-din-raises-another-4m-and-announces-its-ai-data-node-sale) milyon dolar fon toplandı.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.din.lol/din-cook-data-for-ai/turkiye/din-projesi-hakkinda/genel-bakis.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
