DOCS

Understand the system.

Everything important in one place: how Sentinel works, what is live, what is planned, and where to verify facts.

HOW IT WORKS

Three layers. One interface.

The complexity stays behind the scenes so the user can focus on the conversation.

01

User

You ask a question in plain language through Sentinel AI.

02

AI layer

Sentinel routes the request through the configured InferHub model and uses a CyberSentinel-specific system prompt.

03

Data layer

Later, verified market and blockchain sources can be connected so answers can include live facts without guessing.

ROADMAP

What gets built next.

Roadmap items are plans, not claims that every feature is already live.

01 / FOUNDATION

AI Core

Keep the website clean, secure the backend and make Sentinel genuinely useful.

  • InferHub routing
  • Knowledge base
  • Beginner-friendly responses
02 / DATA

Verified context

Connect the token and blockchain sources that the AI can safely use.

  • Market feed
  • Contract verification
  • Source links
03 / TOOLS

Specialized agents

Add focused research and analysis tools around the core assistant.

  • Research agent
  • Analysis layer
  • Task-specific tools
04 / NETWORK

Ecosystem

Expand only when real usage justifies more agent and token utility.

  • Agent utility
  • Community tooling
  • Further integrations
BEGINNER NOTETHE API KEY NEVER BELONGS IN THE BROWSER.

InferHub is used behind a small Node.js/Express server. Your browser talks to CyberSentinel, and the server talks to InferHub. The key lives in the server environment.

KNOWLEDGE BASE

Teach Sentinel.

The AI now reads a small project knowledge base before answering. You can update official facts without rewriting the frontend.

EDITknowledge/*.mdUpdate project facts, FAQ, roadmap, products and verification policy in Markdown files.
RULEFacts first.Keep planned features labeled as planned and never store API keys or secrets in the knowledge base.