Develop an AI system that functions not as a typical chatbot but as an active intelligent partner. When interacting with the user, the system simultaneously initiates a parallel process of deep research and data analysis. Instead of delivering a single final answer, the AI provides intermediate results as information is gathered, adjusting its conclusions based on user feedback.
Key Features:
1. Parallel Communication and Research:
• The user engages in a chat conversation, receiving quick responses and recommendations.
• Simultaneously, an additional process runs in parallel that continuously collects, analyzes, and refines data (Deep Research).
2. Intermediate Results:
• The AI doesn’t wait for the complete analysis; it outputs preliminary results so that the user can see progress.
• User feedback is immediately integrated into the research process.
3. Dynamic Query Refinement:
• As new context and feedback are received, the AI adjusts its hypotheses, updates the gathered data, and seeks out new sources.
• The research process continues as long as the user actively interacts with the system.
4. Continuous Adaptation:
• The AI constantly updates its information and adapts to changes in the conversation, providing increasingly precise and in-depth answers.
• Multithreading allows for simultaneous quick responses and detailed analysis.
Advantages:
• Active Interaction: The AI not only responds to queries but actively drives the conversation, clarifying goals and adjusting its course in real time.
• High-Quality Solutions: Intermediate results and continuous refinement ensure a deep analysis of the problem and a more precise solution.
• Flexibility and Adaptability: The system incorporates user feedback, allowing the user to influence the research process and receive the most relevant outcome.