Output quality

We guarantee optimization won't degrade your output.

Optimization that saves money but quietly hurts your answers is worse than doing nothing. So every change we make is measured, enforced, and rolled back automatically if quality slips.

01

What we guarantee

In writing, we commit that optimizing your traffic will not measurably lower the quality of your output. It is a contractual term backed by measurement, not a promise to trust us.

02

How we measure it

A slice of your traffic always bypasses optimization and acts as a control group. We score both groups for each workload, so any change in quality is measured rather than assumed.

03

What happens if quality drops

If the measured change on a workload crosses your threshold, we disable that optimization for it automatically, and log the change so you can see exactly what happened.

04

The kill switch

One control reverts all of your traffic to pass-through instantly. It is there so you always stay in charge.

Often we don't just protect quality, we improve it.

Removing noise and putting the most relevant context where the model reads it best does more than cut tokens. On the right workloads it raises accuracy, so the guarantee becomes a floor you comfortably clear rather than a line you worry about.

The honest caveat. Quality gains depend on the workload. Push compression too hard and you start dropping information the model needs, which hurts the answer, and short clean prompts have little room to improve in the first place. Our scoring and guardrails exist to keep you on the right side of that line, and our measurement tells you for each workload whether the optimization actually pays. When it doesn't, we say so.
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