1 link tagged with all of: llm-optimization + prompt-engineering + agent-behavior
Click any tag below to further narrow down your results
Links
Most prompts degrade into contradictory messes because teams keep adding to them without removing anything, causing real performance hits. Treating prompts like code—structured, modular, and maintained—can unlock 30-50% improvements in speed, retention, and costs.
- Prompts grow through accretion without review, creating contradictions and hidden ambiguities that agents can't resolve; one startup cut LLM spend by $20M/year just by removing duplication
- Prompt decisions are product decisions—agent behavior shapes user experience directly, so vague specifications like "never mention competitors" fail because they lack concrete rules
- MECE structure (mutually exclusive, collectively exhaustive sections) eliminates overlap and makes prompts maintainable like modular code; separate concerns into context, behavior, and output sections