Shrinking a Production Prompt by 28% With Autonomous Optimization
How I used autoresearch to run 65 autonomous prompt optimization iterations on a production LLM agent, cutting it 28% while retaining 98% output quality.
2 articles about prompt-engineering - lessons from building and scaling real software.
How I used autoresearch to run 65 autonomous prompt optimization iterations on a production LLM agent, cutting it 28% while retaining 98% output quality.
LLMs don't have access to the current date, causing issues in time-based analysis. Here's how to fix date and time handling in production LLM systems with explicit context.