# Sentio Dashboard

### **SentioCP Neural Dashboard**

The **SentioCP Neural Dashboard** provides full control over your decentralized AI systems. It functions as the central command layer for managing Neural Credits, deploying custom agents, and monitoring performance in real time.

Whether you’re running a single intelligent agent or coordinating a network of autonomous systems, the dashboard offers the transparency, flexibility, and operational control required in a verifiable, trust-minimized environment. Users can select from a library of preconfigured agents or build entirely new ones using custom logic and proprietary datasets.

Every agent is context-aware, independently verifiable, and optimized to align with specific user objectives.

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### **Available Agent Types**

The **SentioCP Dashboard** includes a collection of powerful, production-ready agents designed to support essential workflows. Each agent can be customized, extended, or used as a foundation for creating new agents through the **SentioCP SDK**.<br>

| **Agent Name**          | **Description**                                                                          |
| ----------------------- | ---------------------------------------------------------------------------------------- |
| **On-Chain Analyst**    | Monitors smart contracts, tracks on-chain events, and delivers blockchain analytics.     |
| **Data Analyst Pro**    | Performs advanced data analysis, pattern detection, and generates large-scale reporting. |
| **Content Creator Pro** | Produces long-form content, marketing campaigns, and brand messaging strategies.         |
| **Code Assistant**      | Helps write, debug, and optimize code across multiple languages and frameworks.          |
| **Security Auditor**    | Scans applications and smart contracts for vulnerabilities and compliance risks.         |
| **Realtime Sentinel**   | Monitors live data streams for anomalies, alerts, and rule violations.                   |

***

### **Build from Scratch with Full Flexibility**

**SentioCP** empowers developers to design AI agents from the ground up, using custom datasets, intents, and logic flows. This flexibility enables the creation of AI systems tailored to specific domains, organizational workflows, or research objectives. By defining how an agent thinks, what it knows, and how it behaves, you can launch highly specialized, decentralized, and context-aware systems from day one.

***

### **Getting Started with Your AI Agents**

Launching your first **SentioCP** agent is straightforward and efficient. The dashboard offers a guided setup process suitable for both developers and non-technical users.

**Step 1: Choose or Create an Agent**\
Select a pre-built agent template or use the **SentioCP SDK** to build a fully custom agent aligned with your requirements.

**Step 2: Configure Intent and Context**\
Set your agent’s purpose and provide relevant context. This may include datasets, behavioral parameters, access permissions, or preferred model configurations.

**Step 3: Deploy and Interact**\
Launch your agent into the decentralized network. Monitor real-time inputs, decisions, and verifiable outputs directly from the dashboard interface.

**Step 4: Monitor and Iterate**\
Track performance metrics, refine logic, and update context on the fly. The **SentioCP Dashboard** supports version control and agent snapshots for continuous improvement and reproducibility.


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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://sentiocp.gitbook.io/sentiocp-docs/sentio-technology/sentio-dashboard.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.