Tal and Aman argue that the fastest way to build intuition for AI products is to use coding agents like Cursor for non-technical product work rather than consumer chat tools. The post walks readers through setup, model…
“One of my favorite collaborators, Tal Raviv, is back with another incredible piece that will change how many of you operate at work. If you’re looking for the promised AI productivity gains everyone’s talking about, start here. For more from Tal, check out his 63 free video tutorials on using AI agents at work, his other guest post, “PM is an unfair role. So work unfairly”, and his episode on Lenny’s Podcast. You can also book Tal for…”
Lenny Rachitsky argues that product and business teams should start experimenting with custom GPTs now, since AI tools are often dismissed as a fad or too complex. He explains what GPTs are, how to build one by…
Aman Khan argues that writing evaluations is becoming a defining skill for AI product managers, since evals measure how each part of a system affects quality. The post explains what evals are, compares human, code-based…
A practical guide to AI prototyping for product managers, covering the main categories of tools (chatbots, cloud development environments, local developer assistants) and when to use each. It walks through turning Figma…
Lenny Rachitsky and Noam Segal report on a 1,750-respondent survey of tech workers about AI productivity. The core argument is that AI is overdelivering for most people, with the biggest gains in founders and PMs, while…
Lenny Rachitsky shares a guest post by prompt engineer Mike Taylor covering eight prompting techniques, from role-playing and few-shot examples to chain-of-thought, retrieval, and using an LLM as a judge. Each tactic…
Lenny Rachitsky argues that non-technical people should use Claude Code, which he frames as a local-feeling AI agent that can act on files and tools on a computer. The post walks through installation steps, shows five…
Amir Klein, writing via Lenny's newsletter, explains how he built an AI 'second brain' using ChatGPT Projects while launching monday.com's first AI agent. He covers giving the project a defined personality, feeding it…
The piece argues that organizations asking their teams to find ways to use AI for company benefit are undermining that goal by stripping away the agency people need to experiment and decide. The core claim is that…
Lenny Rachitsky and prompt engineer Mike Taylor ran a blind test to see how close AI comes to doing core product manager work. They argue that most headlines saying AI 'can't do X' rely on weak models and basic prompts…
Lenny Rachitsky collected over a thousand reader stories about personal tools they built through vibe coding, then curated 50+ examples spanning health, parenting, work, music and fun. His core argument is that…
Hilary Gridley, a WHOOP product director, argues that AI can help managers become "supermanagers" by scaling their coaching and feedback. She shares five practical strategies, from building custom GPTs that replicate…
Lenny Rachitsky argues that learning to work alongside AI tools like ChatGPT is quickly becoming a baseline skill for product managers, not something that replaces them. The post surveys a dozen concrete ways PMs…
Claire Vo presents a step-by-step guide to installing, configuring, and using OpenClaw, an open-source personal AI agent that runs locally and takes instructions through everyday chat apps. The post covers hardware and…
A glossary explaining 20+ common AI terms in simple language, from models and LLMs to transformers, training, RLHF, RAG, evals, agents, and hallucinations. It aims to help readers follow AI conversations in meetings and…
Caitlin Sullivan, a user-research practitioner, explains four recurring ways AI-generated customer analysis goes wrong: invented or blended quotes, generic insights, signal that doesn't guide decisions, and missed…
Teresa Torres argues that generative AI changes many product-management practices (prompt engineering, context engineering, orchestration, and evals) but that core fundamentals still determine whether a product…
Lenny Rachitsky argues that AI will hit the high-level strategic parts of product management, such as strategy, vision, and goal-setting, harder than the people-centric work. He contends that soft skills like…
Lenny Rachitsky and Dan Shipper walk through how a Lenny-specific chatbot was built on GPT-3 using his newsletter archive. The piece explains the difference between GPT-3 and ChatGPT, why raw language models tend to…
Teresa Torres argues that people feel overwhelmed by AI but can build practical skills by starting with simple, everyday uses of large language models. She presents a graded set of use cases, from basic search…
Julie Zhuo argues that as AI systems get better at producing polished work, the traditional signals of skill and craft are eroding, pushing people to ask what human contribution still matters. The essay frames this…
John Cutler argues that AI tools remove not only wasteful friction but also 'positive friction': the productive struggle, debate, and slow sense-making that builds shared understanding and sound judgment in product…
This podcast episode argues that AI tools deliver useful product work only when they are given the right context, much as a new teammate needs onboarding. Teresa Torres and Petra Wille explain why most AI outputs…