📅 2025-07-28 — Session: Optimized PromptFlow and Health Strategy Sessions
🕒 21:30–21:50
🏷️ Labels: Algorithm Optimization, Health Strategy, Promptflow, Dynamic Programming, Exercise Planning
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to optimize algorithm performance and enhance health strategies, focusing on productivity tracking and visualization.
Key Activities
- Conducted a session analysis for algorithm optimization and health supplementation, identifying achievements and pending tasks.
- Enhanced the robustness and automation of the PromptFlow CLI, addressing path mismatches and keyring backend issues.
- Developed a comprehensive solution for PromptFlow stability using shell and Python scripts.
- Explored exercise strategies and health supplementation, including SARMs, and addressed questions related to algorithm exercises.
- Evaluated discrepancies in raw content and annotations for dynamic programming and greedy algorithms, suggesting improved annotations.
- Assessed semantic alignment of dynamic programming and greedy algorithms in AlgorithmLand.
- Managed large message handling in ChatGPT, exploring token limits and context window strategies.
Achievements
- Established strategies for improving PromptFlow CLI reliability and automation.
- Developed a reusable setup for PromptFlow stability.
- Clarified health supplementation strategies and exercise planning.
- Improved annotation alignment for algorithm content.
Pending Tasks
- Re-upload truncated logs for further analysis and formatting.
- Continue refining health strategies and algorithm exercises.