# AI Chat Terminal

The **AI Chat Terminal** is the conversational core of Credia Layer — an AI-powered interface that transforms complex market signals into clear, executable trading insights.\
Through natural language interaction, users can ask market questions, explore trends, and instantly receive strategy-level answers backed by Credia’s sentiment, ranking, and heatmap data.

#### **How It Works**

* **Natural Language Interaction:** Users can type prompts like\
  \&#xNAN;*“Which sectors are heating up today?”*\
  \&#xNAN;*“Show me tokens with rising momentum in the past 24h.”*\
  \&#xNAN;*“Summarize BTC sentiment and top narratives this week.”*
* **Data-Driven Responses:** The AI retrieves multi-source signals (social sentiment, on-chain data, market trends) and translates them into actionable insights.
* **Strategy Layer:** The system goes beyond simple analysis — it generates suggested entry zones, risk levels, and positioning frameworks based on aggregated signals.

#### **Core Features**

* **Conversational Strategy Building**\
  Generate AI-powered trading strategies by chatting naturally with the system.
* **Integrated with Market Intelligence**\
  Every response is supported by data from the **Sentiment Engine**, **Heatmap**, and **Rankings** modules.
* **“Discuss with AI” Mode**\
  Engage directly with market news (e.g. from CoinDesk or CoinTelegraph).\
  Click **Discuss with AI** to receive instant contextual analysis of why the event matters and how it may impact specific tokens.
* **Wallet-Connected Access**\
  Users can connect wallets to personalize insights, synchronize activity data, and unlock token-gated features.


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# Agent Instructions: 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://credia-layer.gitbook.io/credialayer/product-service/ai-chat-terminal.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.