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Claude Fable 5 review: what the new Mythos model gets right (and very wrong)

2026-06-10 02:32:03

Claude Fable 5 is the first Mythos-class intelligence model to be generally available, and I got early access to test it before launch. I walk through what Anthropic is promising, what actually stood out when I used it on real work, and where I think it fits in your AI stack.

Listen or watch on YouTube, Spotify, or Apple Podcasts

In this episode, we cover:

(00:00) Introduction: Fable 5 is finally here

(00:31) What Anthropic says about the model

(05:14) Token-intensive by design

(06:28) Safety classifiers and the new fallback concept

(07:46) Is this or is this not Mythos?

(08:30) New product launches: Managed Agents and more

(09:20) Crushing benchmarks

(09:55) What it’s actually like to use (the good and the bad)

(11:40) Test 1: product graph spec

(12:56) Test 2: designing a skills registry

(14:04) Conservative on execution

(14:43) Test 3: multi-agent orchestration

(15:39) My takeaways

Tools referenced:

• Claude Fable 5: https://www.anthropic.com/news/claude-fable-5-mythos-5

• Claude Managed Agents: https://platform.claude.com/docs/en/managed-agents/overview

Other reference:

• SWBench Pro benchmark: https://www.swebench.com/

Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

Essential books for product builders—part 2

2026-06-09 21:11:29

👋 Hey there, I’m Lenny. Each week, I answer reader questions about building product, driving growth, and accelerating your career. For more: Lenny’s Podcast | Lennybot | How I AI | My favorite AI/PM courses, public speaking course, and interview prep copilot

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P.S. Get a full free year of Google AI, Cursor, Lovable, Notion, Manus, Replit, Gamma, n8n, Canva, ElevenLabs, Factory, Wispr Flow, Fin, Supabase, Bolt, Linear, PostHog, Framer, Railway, Granola, Warp, Gumloop, Magic Patterns, Mobbin, Stripe Atlas, and ChatPRD, by becoming an Insider subscriber. Yes, this is for real.

On the heels of part 1 of my essential books for product builders series, I’m excited to share part 2.

As with last time, the books are organized by their jobs-to-be-done in your work and life. I’m again limiting myself to only three per category that I’ve personally read (and completed), and only books that have stood the test of time (i.e., no new books). As a bonus, at the end of the post I’ve also included a dozen fan favorites that either fell just below the ones I picked or I haven’t had a chance to read yet.

I know it’s hard to find time to read a whole book, and when you do, it’s hard to retain anything. As I mentioned in part 1, what’s worked for me is to read 10 minutes before bed as part of my wind-down routine. This has the added benefit of helping me sleep better! And as I read, I try to find one nugget or tactic that I can bring into my work that week. I take a photo of it and email it to myself (using this sweet app) for the next morning. My philosophy is that if I retain just one golden nugget per book over the years, I’m happy. That’s how it usually ends up working out anyway.

So, as I share the book recommendations, I’ll also highlight a nugget of wisdom that’s still with me over the many years since I first read these books.

Let’s get into it.

“Books are the closest thing you’ll ever come to finding cheat codes for real life. You can access the entire learnings of someone else’s career in a few hours.” —Tobi Lütke

I want to get better at design

Before reading these books, I thought design was a squishy, subjective thing. It’s not. Don’t Make Me Think taught me how to objectively make a product UI work (and feel) better. The Design of Everyday Things showed me that when I struggle with a product, it’s not my fault—it’s the design’s. Refactoring UI gave me a ton of specific design tactics.

Don’t Make Me Think by Steve Krug
The Design of Everyday Things by Don Norman
Refactoring UI by Adam Wathan and Steve Schoger

I want to improve my taste/craft

I’ve always looked up to people who have great taste, and lucky for me, guests on my podcast consistently remind me that it isn’t something you’re born with—taste is something you can learn. The War of Art helped me learn how to recognize and overcome the internal “resistance” that comes with creating something new and different. The Work of Art showed me the creative process of dozens of high-taste creators. Creativity, Inc. taught me to protect my (and my team’s) “ugly babies”—early half-baked ideas that otherwise get squashed.

The War of Art by Steven Pressfield
The Work of Art by Adam Moss
Creativity, Inc. by Ed Catmull

I want to get better at influence

Influence—maybe you’ve heard it’s important? It’s something I was very bad at early in my career, and I’ve had to learn how to do it well. How to Win Friends and Influence People showed me the power in being interested vs. interesting. Influence taught me the fundamentals of how people change their mind: social proof, authority, scarcity, and simply being liked. Never Split the Difference taught me how to shift a negotiation from “you vs. me” to “us” working together to solve the problem.

How to Win Friends and Influence People by Dale Carnegie
Influence by Robert Cialdini
Never Split the Difference by Chris Voss

I want to start a company

I’ll be honest, I didn’t read a lot of books when I was starting my company. But I should have. When I finally read The Lean Startup, it showed me how to be smart about where to start, and how to iterate efficiently. Crossing the Chasm taught me what a good early user looks like. Fall in Love with the Problem, Not the Solution finally gave me a very practical guide for every step of the founder journey.

The Lean Startup by Eric Ries
Crossing the Chasm by Geoffrey Moore
Fall in Love with the Problem, Not the Solution by Uri Levine

I want to advance my career

There are certain books you read and you’re just like, “Wow, this really explains what’s going on around here.” These three did that for me. Great at Work showed me that people who rise fastest focus on fewer things but do them extremely well. 7 Rules of Power taught me that, often, it isn’t the most talented or nice people who end up winning. The Effective Executive helped me understand that efficiency is doing things well, while effectiveness is doing the right (highest-leverage) things.

Great at Work by Morten T. Hansen
7 Rules of Power by Jeffrey Pfeffer
The Effective Executive by Peter Drucker

I want to be happier (continued)

A few readers suggested that this category should have come first last time—what else matters if you can’t be happy? So I’m including another three books that made me a happier person. The Subtle Art of Not Giving a F*ck taught me that freedom from work isn’t the real goal. Instead, it’s your opportunity to figure out what problems you want to spend time solving, because the most lasting fulfillment comes from solving problems we care about. A Guide to the Good Life gave me the skill of “negative visualization,” which I use to this day. Stumbling on Happiness showed me that we’re often (very) wrong about what will make us happy.

The Subtle Art of Not Giving a F*ck by Mark Manson
A Guide to the Good Life by William B. Irvine
Stumbling on Happiness by Daniel Gilbert

I want some great children’s books

🎙️ How I AI: Gemini Omni: Clone yourself with AI in under 15 minutes & Shopping with Claude

2026-06-08 23:01:21

Gemini Omni: Clone yourself with AI in under 15 minutes

Listen now on YouTube • Spotify • Apple Podcasts

Brought to you by:

Merge—Connective infrastructure for production AI

Jira Product Discovery—Prioritize with insights, build with confidence

In this solo episode, Claire puts Google Flow and Gemini Omni to the test by cloning herself into an AI avatar and using it to build a full hype reel in about 15 minutes. She walks through the whole workflow live: scanning her face, generating scenes, troubleshooting weird outputs, stitching the video together, and reacting to the very real uncanny-valley moments along the way. It’s part tutorial, part tech demo, and part “wait, this is already possible?” glimpse into how AI video tools are making high-quality creative production accessible to anyone with an idea and a laptop.

Biggest takeaways:

AI video tools are unlocking creative capabilities for non-video professionals. Claire, who describes herself as “creative, but not video-creative,” was able to produce a complete one-minute hype video without any prior video production experience. The entire process—from creating an avatar to final video—took roughly 15 minutes, demonstrating how these tools democratize creative work that previously required specialized skills and expensive equipment.
AI can serve as a creative collaborator, not just a tool. Rather than just generating videos, Google Veo acted as a creative partner, helping Claire brainstorm scenes, develop a storyboard, and think through the overall narrative arc. The AI asked clarifying questions about setting, tone, and style, then proposed a seven-scene structure that Claire could refine and execute.
Character consistency remains a major challenge in AI video generation. Throughout the generated videos, Claire’s avatar appeared with different hair lengths, varying backgrounds (some with books, some with plants, different wall colors), and inconsistent environmental details. While the AI pulled some accurate elements from her original photos (like posters in the background), it couldn’t maintain perfect consistency across scenes.
Emotional expression is still a weak point for AI avatars. While some scenes looked remarkably realistic—particularly side profiles and serious expressions—scenes requiring emotion fell flat. Claire described one laughing scene as “100% uncanny valley,” noting she looked like she was “on some kind of medication perhaps.” The technology hasn’t quite mastered the subtle muscle movements that make human expressions feel authentic.
The workflow from idea to finished video is remarkably fast. The entire process included creating the avatar (a few minutes), brainstorming with AI (a few minutes), generating seven video scenes (several minutes total), and stitching them together in the built-in editor (about five minutes). What would have traditionally required a production team, studio time, and significant budget happened in a single session at a desk.

Blog and detailed workflow walkthroughs from this episode:

How I Built an AI Avatar and Hype Video in 15 Minutes with Google Flow: https://www.chatprd.ai/how-i-ai/ai-avatar-video-in-15-minutes-with-google-omni-flow
↳ How to Create a Promotional Video with an AI Creative Director: https://www.chatprd.ai/how-i-ai/workflows/how-to-create-a-promotional-video-with-an-ai-creative-director
↳ How to Create a Personalized AI Avatar with Google Flow: https://www.chatprd.ai/how-i-ai/workflows/how-to-create-a-personalized-ai-avatar-with-google-flow

Shopping with Claude: How to find quality brands, automate returns, and buy things that last 100 years | Nicole Ruiz

Listen now on YouTube • Spotify • Apple Podcasts

Brought to you by:

Orkes—The enterprise platform for reliable applications and agentic workflows

Metaview—The agentic recruiting platform for winning teams

Nicole Ruiz has built a Claude-powered shopping system to help her family buy fewer, better things—and avoid the endless noise of Amazon, drop-shippers, and low-quality brands. In this episode, she shares how she uses Claude Projects to vet every household purchase against criteria like craftsmanship, materials, brand history, and return policies, plus how she uses Claude Cowork to make returns faster when something doesn’t hold up. It’s a practical look at how AI can reduce decision fatigue, surface higher-quality products, and help busy parents spend less time managing stuff.

Biggest takeaways:

The modern internet shopping experience is broken for people who want quality over convenience. Between paid ads, drop-shipping brands, and knockoff products on Amazon, it’s incredibly difficult to find thoughtfully made items that will last for years. Nicole’s solution: build a Claude Project that holds all her purchasing criteria and trusted brands in one place, so she never has to start from scratch.
Keep a running list of brands you trust, and let AI search through them for you. Nicole maintains a list of shops with decades of history, strong return policies, and proven craftsmanship. When she needs something, she asks Claude to search through these trusted vendors first. This flips the typical shopping flow: instead of searching the entire internet and filtering out garbage, she’s searching a pre-vetted list and only expanding if needed.
Your purchasing criteria should be written down and reusable. Nicole has specific requirements: natural materials, made to last and repair, decades of business history, strong return policies, and no trendy direct-to-consumer brands that over-invest in advertising. By codifying these criteria in a Claude Project, she removes the mental overhead of running through an invisible checklist every time she needs to buy something.
AI can surface brand history and quality signals that would take hours to research manually. When Nicole queries a product, Claude explains why each brand is trustworthy, surfacing details like “This brand has been manufacturing the same tote bag for over 80 years” or “This company got acquired two years ago and reviews have been abysmal since then.” These insights help her make informed decisions without hours of research.
The worst websites often belong to the best manufacturers. Heritage brands that have been making quality products for decades frequently have terrible websites that are hard to navigate. This puts them at a disadvantage compared with Amazon or well-funded DTC brands. AI levels the playing field by making it just as easy to shop from a 100-year-old manufacturer with a clunky website as from Amazon.
Format your AI shopping results to surface the information that matters most to you. Nicole’s Claude Project presents each product with specific details: product name, photo, price, materials (especially important for avoiding plastic), care and maintenance notes, purchase link, and a brief note on the brand’s trustworthy history. This consistent format makes it easy to compare options and make quick decisions.
Use AI to automate the tedious parts of returns and refunds. When a product fails—like J.Crew pants that wore through after six months—Nicole uses Claude Cowork to pull the original receipt from her email, find the order details, and draft a customer service email requesting a refund. What would normally take 10 to 15 minutes now takes 2 to 3 minutes of voice dictation from her phone.
AI can identify manufacturing issues by analyzing review patterns. When Nicole requests a return, Claude often discovers that other customers had the same problem with the same product from the same time period, suggesting a manufacturing defect rather than normal wear. This strengthens her refund request and helps her avoid brands with known quality-control issues.
Build your shopping system for multiple use cases. Nicole uses her Claude Project in three main ways: “Help me find a can opener” (specific item search), “I have $30 for L.L.Bean; what should I buy?” (budget-constrained search), and “What’s your analysis of this brand I found?” (vetting a new brand). This flexibility makes the system useful for different shopping scenarios.
Buying quality items up front reduces household maintenance over time. Nicole’s philosophy is to move as much vetting upstream as possible. She lives in a small Brooklyn apartment with two young children, and every item needs to stand the test of time. By investing time in building a shopping system that prioritizes quality, she spends less time dealing with broken items and processing returns. The goal: buy things that will last for multiple children and can be mended rather than replaced.

Blog and detailed workflow walkthroughs from this episode:

Buying High-Quality Goods With Claude: https://www.chatprd.ai/how-i-ai/buying-high-quality-goods-with-claude
↳ Automate Product Returns and Refunds Using Claude Cowork: https://www.chatprd.ai/how-i-ai/workflows/automate-product-returns-and-refunds-using-claude-cowork
↳ Build a Buy-It-for-Life AI Shopping Assistant With Claude: https://www.chatprd.ai/how-i-ai/workflows/build-a-buy-it-for-life-ai-shopping-assistant-with-claude

If you’re enjoying these episodes, reply and let me know what you’d love to learn more about: AI workflows, hiring, growth, product strategy—anything.

Catch you next week,
Lenny

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Shopping with Claude: How to find quality brands, automate returns, and buy things that last 100 years | Nicole Ruiz

2026-06-08 20:03:27

Nicole Ruiz is a writer and parent who has built a comprehensive AI-powered shopping system to help her family buy high-quality, long-lasting items while avoiding the noise of drop-shipping brands, paid ads, and poorly made products. She writes an interview series on Substack about how technology is changing the household.

Listen or watch on YouTube, Spotify, or Apple Podcasts

What you’ll learn:

How to build a Claude Project with custom instructions for vetting brands based on heritage, craftsmanship, and return policies
The shopping criteria that help surface century-old manufacturers over trendy direct-to-consumer brands
How to use Claude to search through trusted vendor websites that have terrible UX
Why AI actually helps small artisans and heritage brands compete against Amazon’s infrastructure
How to use Claude Cowork to automate returns by finding receipts in your email and drafting refund requests
The technique for getting Claude to analyze whether a brand is legitimate or just a drop-shipping operation
How to shop within a specific budget or with gift cards using AI assistance