duo-llm-feature-engineering

Make an LLM or agent feature survive its ten-thousandth call — split the prompt into a fixed constraint zone and per-instance slots, decompose a long interaction into one narrow prompt per move, isolate the high-stakes generation into its own call, over-generate and let expert-owned evaluators hold the quality bar, prefer examples from your own corpus over more instructions, and carry memory as extracted facts not replayed transcripts. Use when a prompt works in a demo but drifts in production, when output gets worse as you add rules, when an AI conversation rambles or never ends, or when scaling generated content without losing the bar. Triggers on phrases like prompt template, prompt engineering, my prompt got worse, LLM feature quality, AI content pipeline, agent memory, LLM as a judge, generate variations, hallucination guardrails, chatbot ignores the user.

Version

2.0.0

License

MIT