This issue addresses the iteration and improvement process for the AI agent system, ensuring that the system evolves to better address the problem of AI replacing human labor.
Bigger Context
The iteration and improvement process is a core aspect of the AI agent system's design. It allows the system to utilize the results of previous iterations and its understanding of its own code to further refine and improve the solution to the problem.
Implementation Strategy
Run Initial Iteration: Execute the iterate.py script to run the first iteration and generate initial results.
Review and Reflect: Analyze the results and system performance. Use this analysis to plan further improvements in the next iteration.
Continuous Improvement: Implement a mechanism for the system to suggest and execute improvements to its own code and processes based on the analysis.
Acceptance Criteria
The system can successfully run iterations and generate results.
There is a process in place for reviewing and reflecting on the results of each iteration.
The system demonstrates the ability to improve itself based on the analysis of previous iterations.
For more context, refer back to the main ticket: Issue #1
This issue addresses the iteration and improvement process for the AI agent system, ensuring that the system evolves to better address the problem of AI replacing human labor.
Bigger Context
The iteration and improvement process is a core aspect of the AI agent system's design. It allows the system to utilize the results of previous iterations and its understanding of its own code to further refine and improve the solution to the problem.
Implementation Strategy
iterate.pyscript to run the first iteration and generate initial results.Acceptance Criteria
For more context, refer back to the main ticket: Issue #1