Lower token costs
Vague prompts pause until the missing detail is fixed. You spend less on long answers to the wrong question.
Standalone product
Intent clarification only
Clarity Gateway clarifies vague, ambiguous, or poorly structured prompts before they reach any AI model. Fewer wasted tokens. Less ambiguity. Better answers.
Vague prompts pause until the missing detail is fixed. You spend less on long answers to the wrong question.
One high-value clarifying question beats a polished answer to the wrong problem.
The model starts from a clear task — higher quality, less rework, closer to what the user meant.
How it works
Three moves only. Nothing more.
01
Detect what is missing
Subject, scope, timeframe, success criteria — is the prompt answerable yet?
02
Ask one high-value question
If it is vague, the user gets the single clarification that produces a real task.
03
Forward a clean request
Only then does any model run — on a precise ask, not a guess.
Who it is for
Teams watching AI spend
You care about cost per useful answer, not just model choice.
Internal assistants and copilots
Users type vague asks; you want fewer confident wrong replies.
Anyone who already has a model
Keep the LLM you use. Put clarity in front. Completely standalone.
What this is not
Clarity Gateway is a standalone product — independent of Importance Engine and of Context Engine. One job: clarify intent before generation.