> For the complete documentation index, see [llms.txt](https://chain-love.gitbook.io/chain.loves-toolbox/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://chain-love.gitbook.io/chain.loves-toolbox/features/ai-search.md).

# AI search

Let's face it - reading so far one might have asked - why do we even need Chain.Love if we are living the AI era?

The answer is quite straightforward: because regular AI makes a lot of mistakes when it comes to bleeding edge technologies, such as blockchain.

Here is the example of what regular AI may answer when asking about cheapest RPC provider on Ethereum mainnet - one of the most well-known and stable chains in the ecosystem:

&#x20;

<figure><img src="/files/4XkhkLthdFqxKEmCchEs" alt=""><figcaption></figcaption></figure>

So, what is the cheapest provider, really? Node RPC? Maybe, but where did the AI get this information? Following the link only to find that the source of this information is the blog post on the Node RPC website! No conflict of interest, right? Moreover, the article itself is written in August 2024, raises concerns on whether this data is anywhat relevant:

<figure><img src="/files/J01mDEcO1u6ltexo93FO" alt=""><figcaption></figcaption></figure>

Now, let's ask the same question in Chain.Love's AI:

<figure><img src="/files/RRtAw0AQlj795hLysFMv" alt=""><figcaption></figcaption></figure>

&#x20;Not without rought edges, but it gets the relevant data straight from the database, ensuring that you get the most accurate answer possible. What is even better, Chain.Love AI is capable of comparing several ecosystems between each other. Let's complicate the question a bit:

<figure><img src="/files/GPtC3nMfMgwybyZfuoHm" alt=""><figcaption></figcaption></figure>

With cross-searching, Chain.Love AI becomes a powerful instrument for all looking for the right Web3 ecosystem tools.

Come and try it out! Button is Available on every [Toolbox](/chain.loves-toolbox/readme.md), and also using the link below:

<figure><img src="/files/9IH3ck1Mk4KB4nS5U9Nc" alt=""><figcaption></figcaption></figure>

{% embed url="<https://chatgpt.com/g/g-68bf52c0b60c8191a56c6f98959b97ec-chain-love>" %}


---

# 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, and the optional `goal` query parameter:

```
GET https://chain-love.gitbook.io/chain.loves-toolbox/features/ai-search.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
