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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