Two Prompting Heuristics for Improving LLM Output Reliability

Asking an LLM to identify its own low-confidence areas and potential missing context can surface implicit assumptions and latent errors. This technique reportedly identifies critical production-level issues in approximately 25% of sessions by forcing the model to self-evaluate its reasoning gaps.