“Listen to this epsiode on: Spotify | Apple Podcasts When a construction company receives a bid request, someone has to open that email, parse the attached PDF (sometimes 1,800 pages describing an entire building), figure out which products are relevant, look up pricing, and draft a quote—all before the”
Lenny Rachitsky and Kyle Poyar compiled lessons from more than 20 AI product builders on what surprised them about shipping AI features. The post argues that AI products need fresh thinking: prototype to discover what…
Teresa Torres argues that AI evals should be a core discovery habit for product teams, not just an engineering concern. Because LLM outputs are probabilistic and semantic, traditional pass/fail unit tests don't work…
Teresa Torres and Petra Wille argue that people who feel their problems are too small for AI are mistaken; the real blocker is lack of exposure to what AI is good at. Teresa describes her habit of testing one to-do item…
Teresa Torres describes building Product Talk's Interview Coach, an AI tool that gives students feedback on their customer interviews, and how she designed evals to measure its quality. She explains the core idea of…
Teresa Torres and Petra Wille explore AI evals: what they mean, why they matter beyond quality assurance, and how teams can build them. Drawing on Teresa's experience building the Interview Coach tool, the conversation…
Teresa Torres synthesizes conversations with nine product teams building AI features in production, highlighting recurring patterns across their work. She argues that small cross-functional teams, domain expertise, and…
Aishwarya Reganti and Kiriti Badam introduce the Continuous Calibration/Continuous Development (CC/CD) framework for building AI products. They argue AI systems are non-deterministic and require negotiating a tradeoff…
Hamel Husain and Shreya Shankar outline a practical playbook for building AI evaluation systems that improve a product rather than just producing dashboards. The core argument is to start with error analysis by a domain…
Teresa Torres and Hamel Husain discuss how to evaluate and debug AI products with a scientist's mindset. Hamel draws on his machine learning background at Airbnb and GitHub, and his consulting work with startups like…
This podcast episode follows Perk, a company that eliminates 'shadow work' like travel booking, as its team built a voice AI agent that calls hotels to verify virtual credit card payments. The project grew from a…
Teresa Torres recounts a 90-day, self-directed journey building her first AI product, an Interview Coach that gives feedback on customer interviews, which she built while recovering from a broken ankle. She argues that…
Lenny Rachitsky argues, in response to anxiety over AI replacing product managers, that PMs are the best-positioned tech role to thrive in an AI-driven world. He contends that AI excels at execution while PMs' soft…
Marty Cagan and Marily Nika argue that AI product management means building AI-powered experience products, not AI infrastructure, and that most PMs will soon need these skills just as mobile PM became essential. They…
Marty Cagan argues that the products most PMs will build in the coming years are "intelligent products" that blend deterministic and probabilistic behavior. He traces the history of AI from 1980s expert systems, whose…
Teresa Torres introduces a practical test harness for running AI product evals. Manually running every input through a prompt, saving outputs, scoring them against evals, and repeating for each prompt variant is…
Marty Cagan argues that the current resistance to AI products mirrors the denial that greeted the Internet in the mid-1990s. Back then, many organizations insisted their old Waterfall funding, building, and shipping…
Teresa Torres follows up her home-use AI article with a practical guide to using large language models at work, organized into increasingly complex categories: translation, doing the work, research, writing, and coding…
Teresa Torres interviews SallyAnn DeLucia and Jack Zhou of Arize AI about building Alyx, the AI agent that helps teams debug, optimize, and evaluate AI applications. The team describes scrappy beginnings in Jupyter…
Teresa Torres and Petra Wille discuss how they use AI as strategic thought partners across writing, coding, and product work rather than as ghostwriters. Petra describes a voice-first, bilingual transcription workflow…
Tal Raviv, guest-writing for Lenny's Newsletter, offers a hands-on guide to using AI agents to offload repetitive product management work. He walks through setting up a simple customer-prep agent, a checklist for…
Teresa Torres, a product discovery educator, describes how she drifted from occasional tinkering into spending a large share of her time on real AI engineering. She built AI-powered tools for continuous discovery…
The essay argues that as AI makes execution cheaper and faster, the scarce skill for product managers becomes product sense: the judgment to decide what is worth building and why. Mechanical PM tasks like writing specs…
This podcast episode features three leaders from Zencity, a company that helps local governments understand residents by combining survey data, 311 calls, social media, and local news into one platform. The conversation…