Lenny's Newsletter

Lenny's Newsletter

@lenny_s_newsletter

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🔗 https://www.lennysnewsletter.com/📅 Joined September 2026
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Lenny's Newsletter@lenny_s_newsletter·

Opus 5.5 vs. GPT-6 Sol: which model won my blind taste test?

Listen or watch on YouTube , Spotify , or Apple Podcasts I got up early to record an Opus 5.5 review. Then Anthropic and OpenAI dropped new models on the same morning, and I decided to do something I’d never done before: take the How I AI bench live. I put GPT-6 Astra, GPT-6 Sol, Claude Opus 5.5, and more through the work I actually care about: emails, PRDs, frontend prototypes, backend work, long-running agents, SVGs, and video editing. I scored the outputs without knowing which model made them, so you get to watch me make predictions, change my mind, and reveal my own very inconsistent taste. Astra won my heart. Opus 5.5 won my week. Sol still has me split. There’s a creative result I got completely wrong, an LLM judge that disagreed with me, and a return to Barbie Bench: the 3D fashion game that keeps reminding me how far we have to go. The hands are tragic. AGI has not arrived. What you’ll learn: - How I run the How I AI bench blind, and what gets an output a bad score before I

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I left Claude for months. Opus 5.5 is why I'm back

Listen or watch on YouTube , Spotify , or Apple Podcasts I’ve been off Claude for months. Not because it got dumb, but because it got annoying. The rambling, the hedging, the preachy little disclaimers on tasks that didn’t need them. I moved most of my daily work to Codex and I didn’t miss it. Then Anthropic shipped Opus 5.5: 40% cheaper than Opus 5, faster, and with what they’re calling a fundamentally different alignment approach. I ran it for a week across real work, including four long-running agentic tasks, a full ChatPRD homepage redesign, an SVG benchmark, and one very firm refusal, and I’m ready to give you the honest verdict. There’s a lot to like. There are still two things that drive me a little crazy. And there’s one capability I genuinely wasn’t expecting. What you’ll learn: - Why I walked away from Claude entirely, and what it took for me to come back - The real cost math on Opus 5.5 and why pricing matters more for agentic work than single prompts - What happened wh

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🎙️ How I AI: Meta’s Muse review + How Warp ships 2,000 PRs a month with AI factories

Muse review: The personal AI agent that gets consumer UX right Listen now on YouTube • Spotify • Apple Podcasts Brought to you by: Optimizely —Your AI agent orchestration platform for marketing and digital teams OpenArt —An all-in-one AI creation platform for images, videos, music, audio, and more In this solo episode, Claire tests Meta’s Muse, a personal AI agent designed for everyday users. She walks through how it manages her family calendar, creates a polished morning newsletter, tracks personal goals, and asks for permission before acting on sensitive information. She also explores the thoughtful details that make Muse feel trustworthy, where its browser use still falls short, and what its approach could mean for the future of consumer AI. Biggest takeaways: - Meta’s consumer design expertise makes Muse feel different from other agents on the market. The teams behind Facebook and Instagram understand how to build trust with nontechnical users, and that experience shows up t

By Lenny Rachitsky
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How Warp ships 2,000 PRs a month with AI factories | Zach Lloyd (CEO, Warp)

Zach Lloyd is the co-founder and CEO of Warp, an AI-powered terminal and software factory platform used by tens of thousands of engineers. Before Warp, he spent nearly a decade at Google, including time as a principal engineer on Google Sheets. He built Warp from the ground up as a modern, AI-native alternative to legacy terminals, and the team has since expanded into software factories: a full cloud-based system that takes an idea in Slack all the way through to a merged PR. Listen or watch on YouTube , Spotify , or Apple Podcasts In this episode: - Why a software factory is more than a coding agent - The public Slack → Linear → GitHub → QA workflow - Human interactions per PR as a signal of automation and throughput - Why human review is still the bottleneck - Scoring agent runs, finding failure modes, and self-improving agent workflows - Replaying real tasks to choose model cost and quality tradeoffs - CEO workflows with Figma MCP, Granola, and research agents Brought to y

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90 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis

Peter Sellis was the first product manager at Snapchat, where he spent seven years building one of the most beloved consumer products in history. He went on to serve as Head of Product at Discord, where he helped drive some of the fastest user growth the platform had seen. Having left his role at Discord, he gets to be especially real and unfiltered — nothing to promote, no PR, no comms team. Listen on YouTube , Spotify , and Apple Podcasts In our in-depth conversation, we discuss: - Why Peter designs teams like . . . terrorist organizations - What it was really like to manage Nikita Bier - Why the median PM is so bad - Why Snapchat’s ads business never reached its potential - Why growth almost always comes from the core product - Peter’s three “oxymorons” of great product management Brought to you by: WorkOS —Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury —Radically different banking, now with Command Where to find Peter Sellis: • X: https://x.com/

By Lenny Rachitsky
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Muse review: The personal AI agent that gets consumer UX right

I spent a few hours putting Meta’s Muse, its new personal AI agent, through a real first-pass test: onboarding, calendar management, goal setting, a one-shot family morning newsletter, browser-based shopping, and the animated avatar that honestly surprised me. Listen or watch on YouTube , Spotify , or Apple Podcasts What you’ll learn: - Why Muse is the best-designed personal agent I’ve tested, and what specifically made it feel that way - The one-shot family PDF Muse produced that Claude and Codex never quite nailed - How Muse’s permission model works, and why it’s different from every other agent I’ve used - Why I set up a sleep training goal in Muse, and what it revealed about agent tone - The activity feed feature I immediately wished Codex and Claude Code had - Where Muse failed, and what it says about the limits of this category right now - The animated avatar decision that showed me what top-of-craft AI product design actually looks like Brought to you by: Optimizely —

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60+ new creative growth ideas

👋 Hey there, I’m Lenny. Each week, I share deeply researched product, growth, and career advice. For more: Lenny’s Jobs | Lenny’s Podcast | Lennybot | How I AI | Become an AI-Native Builder and my other favorite AI/PM courses Subscribe now P.S. Get a full free year of Cursor, Notion, Replit, Lovable, Wispr Flow, Linear, ElevenLabs, Factory, PostHog, Granola, Brain.fm, Waking Up, and more, by becoming an Insider subscriber (while supplies last). Learn more . Tom Orbach writes the most delightful and actionable newsletter for anyone looking to grow their product. When we began discussing a collaboration, I asked him to take the best of his newsletter and turn it into a single post. Below is the most specific and creative collection of growth ideas you’ll find anywhere. As a bonus, Tom made it easy for you to feed this list into your agent to brainstorm growth ideas for your own product. I encourage you to share this post and the Markdown file with your team (and agents)—it’ll get th

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🎙️ How I AI: How two SpaceXAI designers use Grok Bot to do their jobs

How Grok Bot designers use AI agents to build personal sites and product prototypes Listen now on YouTube • Spotify • Apple Podcasts Brought to you by: - WorkOS —Make your app enterprise-ready, with SSO, SCIM, RBAC, and more - Vanta —Automate compliance and simplify security John Bai and Peng Zheng are designers on the Grok Bot team at SpaceXAI. In this episode, Peng shows how he built a self-updating personal site with Grok Bot handling the entire backend, from looking up a location to generating custom 3D artwork and publishing each new check-in. John demonstrates how he uses voice memos, Grok Bot, and Figma MCP to complete design work from the gym and turn shower thoughts into working prototypes. They offer a fascinating look at how AI is eliminating the tedious parts of design and making it faster and easier to explore new ideas. Biggest takeaways: - The best personal website is one that keeps updating itself. Peng did not want to build another portfolio that launches, gets

By Lenny Rachitsky
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