AI progress creates more work for humans, not less. Dive into our new report from @danshipper — and use the companion repo to read it with your agent 👇

“It’s not faster if you have to retry.” @kieranklaassen found Sol quicker to respond, but Opus 5.5 more reliable at following his Compound Engineering instructions. For long coding tasks, those retries changed which model felt faster to work with. @danshipper breaks down the tradeoffs in our GPT-6 Sol vs. Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

.@danshipper on how Astra one-shotted its own vibe-check. When GPT-6 Astra dropped earlier this month, Dan put it to the test by asking it to write a blog post about itself. The result was a pretty balanced article that weighed up the model’s pros and cons, based on information it pulled from Every’s Slack. Since its release, Dan has been using Astra as his writing companion. The sentences it produces are crisp, to the point and rarely have AI-isms. Read the full vibe check: every.to/vibe-check/gpt-6-as…

.@TylerNishida wanted an AI-friendly version of Origami Studio, so he started building one with Opus 5.5. About 4 prompts later, he had a prototype with adjustable animations, templates, and tutorials. He uses Claude Code to add a swiping interaction, then fine-tunes the animation himself. Read our Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

.@danshipper on Fable 5.1's leap in idea packaging. When Every's customers call the company "interesting," it turns out that's actually a bad sign. Dan discovered this after asking Anthropic’s Fable 5.1 to analyze a customer survey—and the model both found the insight and explained it back to him in one clean sentence. Communicating an insight precisely is something models generally struggle with, Dan says—even Fable's earlier version and Opus 5 couldn't do it. This is the first time he's seen a model pull it off well. Read the full vibe check: every.to/vibe-check/fable-5-…

The Jev boys strike again.

ATTENDING: @iamadamleeb of Astrohaus will attend Thesis: 2027. Apply to attend Thesis, our inaugural conference on work and AI: every.to/thesis-2027?utm_sou…

Opus 5.5 spent five hours building an interactive lesson for @nityeshaga. It used dozens of subagents and worked across 50 files, designing pages, adding playable examples, and reviewing its output. It paired clearer explanations with interactive demonstrations throughout. Nityesh preferred Opus 5.5 for this task. Read our Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

Community is one of the biggest and underserved opportunities we have at Every. We’ve learned we need someone full time helping us make it happen. Are you that person?

Another experiment with using Jev on two ends of an email classification system (a Jev sandwich?) to figure out what’s worth my attention based on how well I slept and my current vibes

The Lenny & Friends Summit talks are coming online! The first two just went live: 1. How to Build Products at the Moving Frontier w/ @danshipper piped.video/watch?v=DqF08Dz3… 2. The Last Roadmap w/ @clairevo: piped.video/watch?v=VM5kuvWg… The rest dropping over the next few days piped.video/c/LennysPodcast

.@hammer_mt calls Opus 5.5 “spikier”: Sometimes it offers a good idea he hadn’t thought of. He likes that it brings opinions to the work. In his testing, that can make it feel like a fellow creative, rather than a model smoothing every rough edge away. More from our team’s Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

New models are great, but can they do your work? At Every, we’re building tests from our day-to-day tasks to see which models can handle them. @danshipper explains how we’re building benchmarks. His comparison of GPT-6 Sol and Opus 5.5 uses those benchmarks: every.to/vibe-check/vibe-che…

We’re hiring a community manager at @Every. Built communities of power users, influencers, creators, or superfans for a brand or individual? Use AI daily? Love getting people talking and bringing them together to build stuff? Then why wouldn't you apply? Remote or NYC based. If you're not sure if this is you but you love the JD and think you could kill it, apply anyway. modern-ton-234.notion.site/d…

.@kieranklaassen likes Opus 5.5 on low effort because it leaves blanks for him to fill. The output feels like a sketch. Turn up the effort, and the model adds more detail—but Kieran often wants that space for his own ideas. That’s part of why he enjoys working with the new Opus. Read our Vibe Check: every.to/vibe-check/vibe-che…

Turning up Claude’s effort setting gives it more budget to think, test, and verify. @AnthropicAI's @trq212 points to an HTML sanitizer: With so many ways the code could fail, extra checking is worth the tokens. For coding tasks you know the model handles well, he says low or medium effort can be enough. Our Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

LIVE: Write-along nitter.net/i/broadcasts/1OxwbnVBN…

To test Opus 5.5, @TylerNishida gave Claude a one-sentence prompt: Build a Genshin Impact–style game set in San Francisco. It came up with the details on its own, including $4,200 rent, a sourdough sword, and a special move called “Series Z,” in which the main character raises $40 million. Tyler demos the result in our latest livestream. Read our Opus 5.5 Vibe Check: every.to/vibe-check/vibe-che…

We have 1 classroom slot left at Thesis: 2027 (every.to/thesis-2027) for someone to teach the conference and all of @every's followers something cool. We're going to be teaching about RL environments, Compound Engineering, how to make your own models, how to write with AI, how to design with AI, and so much more. I want someone to teach something truly off the walls. Like how to cure your dog of cancer using AI @paul_conyngham. Interested? Anyone else got something they want to learn and someone to teach them?

ATTENDING: @aarondfrancis of @laravel will attend Thesis: 2027. Apply to attend Thesis, our inaugural conference on work and AI: every.to/thesis-2027?utm_sou…