ShowMe

Overview

ShowMe is a tool positioned around building AI-native digital sales reps that operate more like teammates than simple chatbots. Across recent mentions, it is described as an AI SDR system trained on sales-call data from multiple human reps alongside existing onboarding materials, with the goal of replicating a company’s sales playbook consistently at scale.

For AI Product Managers, ShowMe matters because it illustrates several important product patterns at once: multi-agent system design, workflow-specific model training, interface design that shapes user behavior, and evaluation strategies for scaling agentic products. The examples around ShowMe suggest that performance gains did not come only from model capability, but also from product decisions such as mirroring familiar meeting interfaces like Google Meet and Zoom so prospects would engage with the AI as if it were a real colleague.

Key Developments

• 2026-02-20: Teresa Torres described how ShowMe built AI-native digital sales reps as full-fledged teammates using a multi-agent system, including its architecture, evaluation metrics, and roadmap for scaling.
• 2026-02-21: Teresa Torres highlighted that when ShowMe redesigned its AI sales agent interface to resemble Google Meet and Zoom calls, prospects interacted with the bot more like a human colleague, and conversions increased.
• 2026-02-22: Teresa Torres unveiled ShowMe as an AI SDR trained on calls from multiple reps plus company onboarding materials, aiming to reproduce human SDR training and ensure every rep, including AI reps, follows the playbook consistently.

Relevance to AI PMs

• Design agents as systems, not single prompts: ShowMe is a concrete example of using a multi-agent architecture for a job-to-be-done in sales. AI PMs can apply this by decomposing complex workflows into specialized agents, orchestration logic, and measurable handoffs rather than relying on one general-purpose model.
• Train on operational reality, not just documentation: The ShowMe example emphasizes learning from actual rep calls in addition to onboarding materials. For AI PMs, this is a reminder that production-grade agent behavior often depends on combining formal knowledge sources with real interaction data to capture tone, sequencing, objection handling, and tacit workflow knowledge.
• Treat interface design as model performance leverage: The Google Meet/Zoom-style redesign shows that user trust and behavior can materially change based on UI framing. AI PMs should test whether familiar interaction metaphors improve engagement, completion rates, or conversion outcomes just as much as model tuning does.

Related

• Teresa Torres: The primary source referenced in all mentions of ShowMe, sharing product and system design insights about the company.
• Google Meet: Cited as an interface model that ShowMe emulated to make AI sales interactions feel more like real meetings.
• Zoom: Another familiar call interface used as a design reference for ShowMe’s AI sales agent experience.
• Multi-agent system: Central to how ShowMe reportedly structured its AI-native sales reps, making it relevant as an architectural pattern for agentic product design.