Pitch out loud to an AI prospect that pushes back for real, then see exactly what worked and what didn't, so you're ready before it counts.
Jordan raises these naturally over the course of a call, never all at once, always reacting to what you actually say.
Budget, ROI, and approval-to-spend pushback.
Why now vs. later, onboarding schedule doubts.
Comparisons against another vendor already in the mix.
The classic brush-off: "just email me something."
Talk through your pitch out loud, mic to mic, no script to read from.
Jordan raises real objections as you go, reacting to what you actually say.
See an overall score and a category breakdown of what you handled well.
A voice-based practice partner built on AssemblyAI's Voice Agent API. It plays a skeptical prospect who tags each objection it raises via tool-calling, then hands off the transcript to AssemblyAI's LLM Gateway to generate an honest, category-scored review of the call.
View the codeVoice, transcription, tool-calling, and scoring all run on AssemblyAI's stack, deployed on a persistent host so it stays live for real calls.