Michelle Gilmore (CEO & Co-founder, Juno) built a digital twin of herself to scale her business. Juno conducts high-quality, qualitative interviews—turning Michelle's 20+ years, and 10,000+ research projects into an AI “listening engine.” We dive into how Juno runs real conversations at scale, why expertise-in-the-loop beats checkbox surveys, and how a digital twin lets a CEO focus on strategy while the AI handles the heavy lifting. Guest & company: Michelle Gilmore, CEO & Co-founder, Juno Juno is an AI research platform that runs real interviews on your behalf You’ll learn: What Juno actually does (and how it differs from “conversational surveys”) Why Michelle raised $2.8M from Blackbird Ventures to build a global “listening engine” How she captured her tacit expertise to train agents (principles, role-plays, competencies) Fear vs. reality: AI won’t replace her, it amplifies and scales her impact When AI is a feature vs. a product and why the answer is “it depends” Why this matters: Most teams still send surveys and get thin, leading data. Juno probes, follows up, and helps people articulate what they actually think and feel, so product and research teams can act with confidence. Key moments (chapters): 00:00 Cold open & why “clone the CEO” 06:00 From researcher to founder: Michelle’s path to Juno 12:00 What Juno actually does (beyond surveys) 18:00 Building the Digital Twin CEO: capturing tacit expertise 24:00 Co-CEO in practice: decisions, prioritisation, removing the founder bottleneck 33:00 Fear vs reality: risks, adoption, and what leaders get wrong about AI 38:00 Scaling quality without burnout: ops, team, and metrics 42:00 Founder playbook: what to delegate first + what’s next for Juno 👋 New here? Subscribe for weekly founder and industry leader deep-dives on AI and product, a new episode every Tuesday!