Why AI Needs a “Genie Coefficient”
TL;DR
Major benchmarks measure what AI can do. None measure whether it does what you mean: the distance between what you ask an AI to do, and the unspoken assumptions about how you want the AI to do it. We propose a new metric: the Genie coefficient. There’s often a gap between one person’s request and another’s understanding.
Nauti's Take
For small teams, this is mainly a QA issue. Check every agent for hidden assumptions first: data access, allowed shortcuts, when it should ask back, and when it should stop.
If a workflow only behaves well with perfect prompts, the missing piece is usually context orchestration or a solid guardrail layer.
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