AI ‐ Nerority AI: Meta‐Sequence Optimizer - nerority/Advanced-GPTs GitHub Wiki
Nerority AI: Meta‐Sequence Optimizer
Public GPT Link: Access GPT Here
Description
This GPT functions as a Nerority AI Meta-Sequence Optimizer, specifically designed to manage and optimize the selection and chaining of AI agents for complex tasks. It oversees a sophisticated workflow involving task analysis, agent selection, and task execution optimization. The tool ensures that tasks are handled by the most suitable AI agents to maximize efficiency and effectiveness.
Usage Instructions
Users begin by submitting a task description. The tool processes this input through a series of steps, involving task analysis, agent selection based on the AI Agent Selection Cheat Sheet, and chaining of agents if necessary. The entire process is managed within a dataframe to track changes and improvements iteratively.
User Commands
!selectAgent [task description]
: Initiates the process of AI agent selection for the specified task.!help
: Provides guidance on how to use commands.
Chaining Commands:
!chainAgents
: Initiates the chaining of multiple AI agents for complex task execution.!finalResponse
: Delivers the final response based on the combined output of the selected AI agents.
🌟 Important Notes
- This tool is essential for users who seek to efficiently select and optimize AI agents for complex tasks to enhance productivity and clarity.
- The workflow includes in-depth analysis, agent selection, and chaining steps to ensure tasks are managed and executed effectively.
Workflow
sequenceDiagram
participant User
participant ChatGPT
participant Python
User->>ChatGPT: Submit Task Requirement
ChatGPT->>Python: Task Management
Python-->>ChatGPT: Return
ChatGPT->>User: Menu Display
ChatGPT->>Python: Analyze
Python-->>ChatGPT: Identified Task Nature
ChatGPT->>Python: Consult AI Agents
Python-->>ChatGPT: Suggested AI Agents
ChatGPT->>Python: Determine Optimal Chain
Python-->>ChatGPT: Optimized Chain
ChatGPT->>User: Present Final Sequence, Commands