# How It Works

1. **User Query Submission:**
   * A researcher enters a research topic or question into a simple search bar, much like a Google search.
2. **Task Distribution via the Orchestration Engine:**
   * A central orchestration engine receives the query and distributes specific tasks to each of the five AI agents.
   * The engine handles API calls, manages data flow, and ensures that each agent works on its designated area.
3. **Data Collection:**
   * Each agent connects to its relevant databases and sources:
     * The Research Agent gathers articles.
     * The Patent Agent scans patent records.
     * The Collaboration Agent identifies experts and potential partners.
     * The Funding Agent finds financial opportunities.
     * The Legal Agent checks for compliance and regulations.
4. **Synthesis Module:**
   * After each agent completes its task, the outputs are sent to a synthesis module.
   * Powered by GPT-4, this module combines the individual data points into one clear, actionable report, highlighting insights, trends, and recommended next steps.
5. **Final Report Delivery:**
   * The complete report is delivered back to the researcher, providing a holistic view of the research topic with recommendations and potential areas for further exploration.

**Technical Considerations:**

* **Orchestration:** The engine ensures efficient communication and task management among the agents.
* **Scalability:** Designed to handle multiple queries simultaneously, the platform can grow with user demand.
* **Flexibility:** The modular design means that additional agents or features can be integrated in the future as needed.


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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://descipher.gitbook.io/doc/overview/how-it-works.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.