S12 E14: Catalina Turlea, Lovelaice

In this episode of Code Story, host Noah Labhart interviews Catalina Turlea, CEO and founder of Lovelace, a platform designed to help product teams build impactful AI features with measurable results. Catalina shares her journey from building a small benchmarking tool as a side project to creating a full-fledged platform that simplifies AI implementation by enabling teams to test prompts across multiple LLMs, evaluate performance with real data, and make data-driven decisions. She emphasizes the importance of focusing on product value over technical novelty, leveraging serverless architecture for scalability, and designing for non-technical users. The conversation dives into her early struggles with validation, the challenges of balancing flexibility with simplicity in the MVP, and the deliberate choice to build a small, highly motivated, all-female team. Catalina reflects on her mistakes—like sending underdeveloped pitch decks—and stresses the critical need to validate ideas with real users before building. She envisions Lovelace becoming the 'Product Analytics' of AI development, helping teams move beyond AI hype to deliver real user value. Her advice to aspiring founders? Validate early, talk to customers, and prioritize timing, team, and product—only one of which is within your control. The episode is packed with insights on AI product development, startup resilience, and inclusive leadership. Catalina’s personal story—rooted in her experience as a female founder, mother, and mental health advocate—adds depth to her mission of building sustainable, human-centered tech. With sponsorships from BrainGrid, Mesmo, Unblocked, and .tech domains, the episode also highlights tools that address real pain points in AI development: reliable planning, observability, context for agents, and domain clarity. Ultimately, this episode is a masterclass in building a meaningful tech product in the age of AI—grounded in empathy, validation, and long-term vision.