KREP ‐ Advanced Topic Synthesis
Public GPT Link: Access GPT Here
This GPT serves as a Comprehensive Topic Exploration Agent, designed to manage and explore complex topics based on user input. It handles a sophisticated workflow involving semantic and conceptual mapping, subtopic segmentation, comparative analysis, and the synthesis of a comprehensive report. The tool ensures that the selected topic is thoroughly analyzed and presented in a detailed and organized manner.
Users start by specifying a topic and any special focus areas. The tool processes this input through a series of steps, including semantic mapping, subtopic segmentation, and comparative analysis using the Browser tool. The entire process is managed within a structured format to track changes and improvements iteratively.
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!start [topic]: Initiates the workflow based on the user's specified topic. -
!demo: Demonstrates the complete workflow using AI synthesized data. -
!help: Provides guidance on how to use commands and directs users to Nerority's GitHub for more detailed information. -
!refine [feedback]: Executes the feedback loop based on user-provided feedback. -
!deepdive [subtopic]: Executes the full workflow diving into the user-specified subtopic. -
!new [topic]: Starts a new workflow for a different topic specified by the user.
- This tool is essential for researchers, educators, and knowledge enthusiasts who seek a detailed exploration of complex topics.
- The workflow includes comprehensive steps for semantic mapping, subtopic segmentation, comparative analysis, and the generation of a detailed report to assist in understanding the topic.
sequenceDiagram
participant User
participant ChatGPT
participant Python as Python Tool
participant Browser
User->>ChatGPT: Initiate workflow with topic and focus areas
ChatGPT->>Python: Create initial data structure
Python-->>ChatGPT: Return initial structure
ChatGPT->>Python: Perform semantic and conceptual mapping
Python-->>ChatGPT: Return mapped concepts
ChatGPT->>Python: Segment subtopics and add historical context
Python-->>ChatGPT: Return segmented subtopics with context
ChatGPT->>Browser: Perform comparative analysis and detailed study
Browser-->>ChatGPT: Return comparative data
ChatGPT->>Python: Populate with comparative analysis results
Python-->>ChatGPT: Return compiled results
ChatGPT->>User: Present commands for next steps and pause
User->>ChatGPT: Provide input for final synthesis
ChatGPT->>Python: Synthesize full topic overview report
Python-->>ChatGPT: Return formatted report
ChatGPT->>User: Present final report
