Webinar: Give Your Text Chatbot a Voice That Sounds Human

A workshop led by GTM enablement leaders from Lovable and ElevenLabs described how they built an always-available AI GTM coach to address limitations of traditional sales role plays, including inconsistent practice partners, scheduling difficulties, lack of objective feedback, and pressure from being evaluated by peers or managers. The system uses ElevenAgents as the conversational agent and Lovable as the user-facing platform for role-play sessions, transcript uploads, live scorecards, certification paths, and completion tracking. Its buyer personas use tiered disclosure so reps must ask effective questions, structured scoring based on company-specific criteria, and a teaching mode that provides guidance when a rep becomes stuck. The demonstration showed scenarios based on real buyer conversations, including discovery calls that assess technical accuracy, buyer credibility, and a rep’s ability to tailor messaging to the buyer’s level. Recommended practices include defining scoring rubrics before writing prompts, deriving scenarios from historical calls, keeping AI responses brief, selecting models based on conversation complexity, adapting prompts to regional buying styles, and treating adoption as a change-management effort rather than solely a technical implementation.

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