video1.0<iframe src="https://www.loom.com/embed/bbe9043e8b1d46778b19add199c43858" frameborder="0" width="1686" height="1264" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12641686Loomhttps://www.loom.com12641686https://cdn.loom.com/sessions/thumbnails/bbe9043e8b1d46778b19add199c43858-f96fdd22525e7962.gif1632.2133339999998This Loom presents the public beta launch of TrainerChat 1.0, focusing on its AI setter architecture for handling DMs and voice, qualifying leads, and setting calls safely. The speaker explains they analyzed over 100,000 real coaching thread histories and found 76% of conversations die within five messages, prompting a design that avoids looping and includes a traced safety layer, an audit-friendly decision layer, and adaptive pacing aligned with platform rate limits. TrainerChat 1.0 uses “playbooks” that bundle an agent, script, and funnel, and includes manual and live testing tools such as “Become a Prospect,” image recognition for prospect profiles, and an exception pause for sensitive topics. The beta is a free trial with two onboarding options, and setup is promised within 14 days after training against past conversations.