Blog

Learn where humans belong in human in the loop voice agent evaluation, how to calibrate graders, tune automated scoring, and sample review to control cost.

Score a voice agent conversation end to end: build a weighted rubric, set pass bars, choose a human, LLM, or hybrid scorer, and grade the audio.

A silent tool failure is when a voice agent's tool call fails but the agent tells the caller it worked. Learn how to detect and test for them.

A golden dataset is the labeled reference behind a repeatable voice agent benchmark. How to source, label, size, and version one that predicts production.

Voice agent metric drift is the quiet decline in quality when models, prompts, or callers shift. Learn the causes, signals, and how to detect it early.

A voice agent production feedback loop turns real failed calls into permanent regression tests. Here is how to capture, triage, and close the loop.

Compare the 3-year cost of building a voice agent in-house versus buying a platform. See where the crossover sits and the hidden build costs teams miss.

Compare voice agent pricing models: per-minute, per-resolution, and per-seat on incentives, predictability, gaming risk, and which fits your use case.

How to negotiate a voice AI contract: pricing and price caps, SLAs with real remedies, data and exit rights, and independent test evidence as your gate.