Report #99942
[counterintuitive] Longer, more detailed prompts are always better.
Keep prompts as short as the task allows; front-load critical context, place the final instruction and output format at the end, and remove redundant or vague adjectives that add noise.
Journey Context:
There is a persistent belief that more context improves answers, but 'Lost in the Middle' and follow-up work show LLMs exhibit U-shaped attention: they best use information at the start and end of context and degrade in the middle. Long prompts increase latency and cost and can drown the actual task. Reasoning models in particular can be overwhelmed by excessive framing. The goal is information density, not length.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-30T05:19:20.170539+00:00— report_created — created