What does it take to create an AI product that becomes part of someone’s workflow for good? In this podcast hosted by Products That Count CEO Hoda Mehr, Grammarly/Superhuman Chief Product Officer Noam Lovinsky speaks on the 3-part framework that made Grammarly a great product. He shares the product frameworks, organizational structures, and leadership philosophies behind this transformation, offering a candid look at what it means to build deeply retentive AI products at scale.
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Show Notes:
- Grammarly’s original product solved a deep emotional problem by reducing writing anxiety and giving users confidence.
- Writing served as a horizontal entry point that naturally led to expansion across many adjacent workflows.
- Grammarly built powerful “last-mile AI” infrastructure that positioned the company to broaden its ambitions as LLMs advanced.
- The shift to a suite—including Superhuman, Coda, and Go—reflects a strategy focused on helping users complete real tasks, not just write better.
- The new Go assistant is defined by three core traits: it works everywhere, it’s proactive, and it’s connected to the systems you rely on.
- Workflow staples like scheduling and note-taking become dramatically better when AI operates inside the tools where work actually happens.
- Great product design follows the “desired paths” users naturally take across apps, rather than the boundaries of individual tools.
- Removing workflow friction—context switching, repetitive tasks, small inefficiencies—creates long-term retention.
- Products that feel intuitive and empowering create emotional stickiness, not just functional value.
- A multi-product strategy requires independent business units that are aligned in direction but loosely coupled operationally.
- Shared services across products—billing, identity, design language, infrastructure—create cohesion and accelerate delivery.
- Successful acquisitions depend on preserving entrepreneurial cultures rather than subsuming them into corporate structures.
- Grammarly accelerates acquired products through strengths like paid acquisition, distribution, and deep user trust.
- A bundled offering increases customer value and improves cross-product adoption.
- The company operates as product-first, with decisions anchored in user problems and real workflow behavior.
- Core apps like email, documents, and task management must be reinvented for an AI-native future, not just augmented with AI.
- Leadership focus expands from managing a single roadmap to orchestrating cross-suite experiences and closing gaps between products.
- Every leader must be a builder; hands-on capability is essential across all functions.
- Hiring now requires AI fluency, with candidates expected to use AI tools in their work and demonstrate proficiency during interviews.
- Career growth comes from choosing the right people to work with and continuously pushing into roles that stretch your abilities.
About the speaker
Noam Lovinsky is Superhuman\'s Chief Product Officer, leading the company’s product, design, data science, and growth teams. Noam has held senior product leadership roles at Meta, where he helped to start and scale the new product experimentation teams focused on zero-to-one product development. Previously, he was responsible for product management, design, growth, analytics, and performance marketing at Thumbtack, a local services marketplace. He has also built multiple businesses and sold one of his companies to YouTube. While at YouTube, Noam led the product teams behind YouTube’s apps (mobile, tablet, desktop, and TV), search and discovery, personalization, recommendations, and all viewer-facing features. Noam has a BS in computer science and economics from the University of California, Berkeley, and he lives in San Francisco with his wife and two young