Operant's 'eval gate' process determines when a cheaper AI model can take over a task

Operant, an AI workflow tool, has developed a multi-step process called the 'eval gate' to decide when a cheaper AI model can reliably replace a more expensive one for a repeated task. The process involves testing the cheaper model on a set of held-out, historical conversations to evaluate its performance against past results using an LLM judge. The gate is considered passed if the cheaper model achieves a mean parity score of 0.8 or higher against the baseline performance. Even after passing, a human must ratify the change before the cheaper model is put into active use, and any rule change requires the gate to be run again.