Predictable, flat cost
One fixed monthly price per user. The heavy work stays outside your per-token model bill, so the line item stops swinging with usage.
Pauhu does not claim every AI cost disappears. The promise is sharper: the work Pauhu does costs no model tokens and draws no GPU run.
If you then send the code or a final prompt to a separate cloud LLM, that provider's pricing applies to that part. The receipt records which path each call took.
Compare it to the variable token bill you already pay. Pauhu's share of that usage is no tokens, and the cost is one predictable number.
One fixed monthly price per user. The heavy work stays outside your per-token model bill, so the line item stops swinging with usage.
Every call reports the model tokens it did not spend, measured, and a labelled estimate of the energy that avoided versus an LLM doing the same. A receipt your finance team can read, each figure marked for what it is.
An answer Pauhu builds is a GPU run that did not happen. The same work moves from a datacenter draw to a CPU operation, and the receipt carries the per-call estimate of what that avoided.