We are demonstrating a live voice assistant, built on open IBM Granite 4.1 models, that lets ICML attendees watch a language model check its own work in real time, turn by turn, during a natural spoken conversation. Attendees walk up, speak to the assistant, and watch a panel beside it light up as the system generates several candidate responses in parallel and scores each one against a set of plain-English requirements: how the answer should sound, how long it should be, what it shouldn't say. Passing requirements turn green, failures turn red, and the first candidate that satisfies all of them is spoken back. Failures are shown, not hidden. Attendees can edit the requirements on the fly and hear the assistant's behavior change mid-conversation. The demonstration is hands-on and built for a research audience working on validated and controllable generation. Every piece of it (models, orchestration, frontend) is Apache-2.0 and runs on a single laptop with no external API, so any attendee can reproduce it after the session.