Industry Context — Common BS Fingerprints in Media, News & Publishing
Generic Claims:
trusted news source, unbiased reporting, the truth, delivered, journalism that matters…
Red Flags:
no named editorial staff, sponsored content without clear labelling, no corrections or complaints policy, ownership and funding not disclosed…
Semantic Drift Patterns:
claims editorial independence but content is sponsored, claims fact-checked but no corrections policy visible, homepage says investigative but content is aggregated wire stories, claims community voice but no local reporting staff…
Proof Expectations:
named journalists and editorial staff, published editorial standards and ethics code, corrections and complaints policy, ownership and funding transparency…
Every
(https://every.to) 📸 Data Snapshot: June 20, 2026Analyze the raw signals below. How would a machine score this business’s credibility?
Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.
🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE Every (https://every.to)
Title
Every
Meta
Every — The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily.
H1 The Only Subscription You Need to Stay at the Edge of AI
H2 Work like the most AI-forward team in tech
H2 RECENT ESSAYS
H2 The Only Subscription You Need to Stay at the Edge of AI
H2 The Only Subscription You Need to Stay at the Edge of AI
H2 The Only Subscription You Need to Stay at the Edge of AI
H2 The Only Subscription You Need to Stay at the Edge of AI
H2 Stop Planning Your AIStrategy. Start Executing It.
H2 What Comes Next
H3 Loops for Non-coders
H3 We Built Our Own Agent-native Tool. It Overhauled How We Build Software.
H3 How Anthropic Makes Claude More Reliable
H3 I Interviewed an AI Version of GitHub’s COO—Then Spoke to the Real One
H3 Fable, Disabled
H3 The Moral of Fable
H3 AI Everywhere, All at Once
H3 Built by Every
H3 Every Studio
H3 We Gave Every Employee an AI Agent. Here’s What We’re Doing Differently Now.
H3 Claude Code for Product Managers
H3 The Folder Is the Agent
H3 How We Run a 25-person Company on Four AI Agents
H3 Dispatches From the Frontiers of AI
H3 The Moral of Fable
H3 How Microsoft Is Building for a World of Metered Intelligence
H3 Notes From the Foothills of the Singularity
H3 After Automation
H3 Putting AI to Work
H3 How to Use Codex for Knowledge Work: A Power User’s Guide
H3 How We Run a 25-person Company on Four AI Agents
H3 What I Learned Onboarding Our AI Project Manager
H3 The Agent That Saved My Brain
H3 The Future of Programming
H3 Compound Engineering Gets an Upgrade
H3 We Gave Every Employee an AI Agent. Here’s What We’re Doing Differently Now.
H3 Claude Code for Product Managers
H3 The Folder Is the Agent
H3 The New Rules of Writing
H3 Socrates as a Service
H3 How I Escaped AI Autopilot
H3 The Science of Why AI Still Can’t Write Like You
H3 This Is How the Every Editorial Team Uses AI
H3 From Our Columnists
H3 Dan Shipper
H3 The Moral of Fable
H3 Figma Exec on Why the SaaSpocalypse Is a Goldmine
H3 Vibe Check: Opus 4.8—Anthropic Should’ve Rounded Up to 5
H3 Podcast
H3 AI & I
H3 Figma Exec on Why the SaaSpocalypse Is a Goldmine
H3 Inside Stainless, The Developer Tools Startup Anthropic Just Bought for $300 Million
H3 How OpenAI’s Codex Team Uses Their Coding Agent
H3 Privacy Preferences
H4 Spiral
H4 Cora
H4 Sparkle
H4 Monologue
H4 Proof
H4 Plus One
H4 More coming soon…
HEADING_REPEATED_BODY AI & I – Every (https://every.to/podcast/)
Title
AI & I – Every
Meta
AI & I — Learn how the smartest people in the world are using AI to think, create, and relate.. A column on Every.
H1 AI & I
H2 Learn how the smartest people in the world are using AI to think, create, and relate.
H2 What Comes Next
H3 Transcript: ‘Can GitHub Be for Everyone?’
H3 Figma Exec on Why the SaaSpocalypse Is a Goldmine
H3 Transcript: ‘We Automated Everything With AI and Tripled Our Headcount’
H3 Inside Stainless, The Developer Tools Startup Anthropic Just Bought for $300 Million
H3 Transcript: ‘How Stripe Is Building for an Agent-native World’
H3 Transcript: ‘The AI Sandwich: Where Humans Excel in an AI World’
H3 Transcript: ‘We Gave Every Employee an AI Agent. Here’s What Happened.’
H3 Transcript: ‘Inside an AI High School, Through the Eyes of a 17-Year-Old Founder’
H3 How OpenAI’s Codex Team Uses Their Coding Agent
H3 Transcript: ‘How OpenAI’s Codex Team Uses Their Coding Agent’
H3 Transcript: ‘Inside OpenAI’s Agentic Browser, Atlas’
H3 Inside OpenAI’s Agentic Browser, Atlas
H3 Every’s Head of Consulting Just Automated Her Job
H3 Transcript: ‘Every’s Head of Consulting Just Automated Her Job’
H3 Opus 4.5 Changed How Andrew Wilkinson Works and Lives
H3 Transcript: ‘Opus 4.5 Changed How Andrew Wilkinson Works and Lives’
H3 Transcript: ‘Why Your AI Learning Projects Keep Fizzling Out’
H3 Why Your AI Learning Projects Keep Fizzling Out
H3 Reid Hoffman Makes Five Predictions About AI In 2026
H3 Transcript: ‘Reid Hoffman Makes Five Predictions About AI In 2026’
H3 Four Predictions for How AI Will Change Software in 2026
H3 Reid Hoffman on How AI Might Answer Our Biggest Questions
H3 Transcript: ‘What Jhana Meditation Feels Like—From the Inside Out’
H3 What Jhana Meditation Feels Like—From the Inside Out
H3 Privacy Preferences
HEADING_REPEATED_BODY Every (https://every.to/newsletter/)
Title
Every
Meta
Every — The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily.
H2 What Comes Next
H3 How Anthropic Makes Claude More Reliable
H3 Loops for Non-coders
H3 We Built Our Own Agent-native Tool. It Overhauled How We Build Software.
H3 I Interviewed an AI Version of GitHub’s COO—Then Spoke to the Real One
H3 Fable, Disabled
H3 The Moral of Fable
H3 AI Everywhere, All at Once
H3 How to Get the Most Out of Fable 5
H3 My Editor Caught Me Sounding Like AI. Now AI Catches Me First.
H3 AI Is Ready. Organizations Aren’t.
H3 How Microsoft Is Building for a World of Metered Intelligence
H3 Why We’ll Still Be Employed When AI Can Do Everything
H3 Spiral 4.0 Goes Agent-native
H3 Figma Exec on Why the SaaSpocalypse Is a Goldmine
H3 Opus 4.8 Is Smart Enough to Get in Your Way
H3 The Eight Levels of AI Adoption
H3 Where Do You Fall on the Eight Levels of AI Adoption?
H3 Company-wide AI Implementation in Five Steps
H3 An Executive’s Guide to Implementing AI
H3 How We Work Now
H3 Compound Engineering Gets an Upgrade
H3 Vibe Check: Opus 4.8—Anthropic Should’ve Rounded Up to 5
H3 After ‘After Automation’
H3 How to Use Codex for Knowledge Work: A Power User’s Guide
H3 Privacy Preferences
HEADING_REPEATED_BODY Dan Shipper – Every (https://every.to/@danshipper/)
Title
Dan Shipper – Every
Meta
Dan Shipper — Dan Shipper is the CEO and cofounder of Every. Every week he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI …. Author on Every.
H1 Dan Shipper
H2 What Comes Next
H3 GPT-3 Is the Best Journal I’ve Ever Used
H3 The Knowledge Economy Is Over. Welcome to the Allocation Economy.
H3 How Hard Should I Push Myself?
H3 GPT-4 Is a Reasoning Engine
H3 The End of Organizing
H3 The Fall of Roam
H3 Here’s What I Saw at an AI Hackathon
H3 How to Make AI Write Like Your Favorite Author
H3 GPT-4: A Copilot for the Mind
H3 What I Do When I Can’t Sleep
H3 Linus Lee Is Living With AI
H3 Why Generalists Own the Future
H3 Admitting What Is Obvious
H3 AI and the Age of the Individual
H3 Using ChatGPT Custom Instructions for Fun and Profit
H3 Awe, Anxiety, and AI
H3 Can GPT-3 Explain My Past and Tell My Future?
H3 The CEO of No
H3 GPT-4 Can Use Tools Now—That’s a Big Deal
H3 Writing Essays With AI: A Guide
H3 I Let An AI Do My Email
H3 OpenAI Launches a Document and Code Editor Integrated Into ChatGPT
H3 Can Gemini 1.5 Pro Beat Our Best Stock Trade?
H3 Andrew Huberman’s Morning Routine, Backed by Neuroscience
H3 Privacy Preferences
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://every.to) Every
Jun 17, 2026 IN Context Window [H3] Loops for Non-coders Laura Entis Jun 16, 2026 [H3] We Built Our Own Agent-native Tool. It Overhauled How We Build Software. Stella Garber Jun 18, 2026 IN Context Window [H3] How Anthropic Makes Claude More Reliable Plus: A rapid-fire roundup of AI topics we’ve given ourselves permission to skip, a workflow for onboarding Slack bots, and “Le Chaton Fat” takes center stage Laura Entis [H2] RECENT ESSAYS [IMG: Arrow Right] [H3] I Interviewed an AI Version of GitHub’s COO—Then Spoke to the Real One Mike Taylor [H3] Fable, Disabled Every Staff [H3] The Moral of Fable Dan Shipper [H3] AI Everywhere, All at Once Laura Entis [H3] Built by Every Try out our AI-powered products. [IMG: Arrow Right] [IMG: Spiral] Your AI writing assistant with taste—publish with confidence. Try it [IMG: Cora] An AI assistant for your email—for $15/month. Try it [IMG: Sparkle] Automatic file organization so you can find what you need. Try it [IMG: Monologue] Effortless voice dictation—work 3x faster. Try it [IMG: Proof] A collaborative editor for humans and AI. Create docs you can share with agents and humans. Try it [IMG: Plus One] Provision a personal AI agent in Slack with one click. Hosted by Every. Onboarding first users now. Join Waitlist [IMG: More coming soon] At Every, we're always exploring the future of AI-native products. If you're interested in being a beta tester, sign up below. Become an Early Adopter [H2] The Only Subscription You Need to Stay at the Edge of AI [IMG: Newsletter] Newsletter [IMG: Podcast] Podcast [IMG: Sparkle] Organize your Mac [IMG: Spiral] Automate writing [IMG: Cora] Stop email stress [IMG: Monologue] Write 3x faster [IMG: Proof] Write with AI [IMG: Plus One] AI agent in Slack [IMG: Newsletter] [IMG: Podcast] [IMG: Sparkle] [IMG: Spiral] [IMG: Monologue] [IMG: Cora] [IMG: Plus One] [IMG: Proof] [H2] The Only Subscription You Need to Stay at the Edge of AI [H3] Every Studio Lessons from engineers shipping AI products. [IMG: Arrow Right] [H3] We Gave Every Employee an AI Agent. Here’s What We’re Doing Differently Now. We’ve been working on a big release on the future of work for next week, shaped by what we learned from building Plus One. Paid subscribers Brandon Gell [H3] Claude Code for Product Managers How one general manager runs a full product using AI for planning, monitoring, and research Marcus Moretti [H3] The Folder Is the Agent I'm running 44 AI agents across multiple projects. Each one is just a model pointed at a folder. Kieran Klaassen [H3] How We Run a 25-person Company on Four AI Agents How Every uses custom agents for prioritization, meeting notes, OKR planning, and growth tracking—plus sample prompts to build your own Katie Parrott [H3] Dispatches From the Frontiers of AI The latest models, capabilities, products, and use cases. [IMG: Arrow Right] [H3] The Moral of Fable What the most powerful model yet teaches us about the future of knowledge work Dan Shipper [H3] How Microsoft Is Building for a World of Metered Intelligence The company gets pragmatic in AI’s expensive era Mike Taylor [H3] Notes From the Foothills of the Singularity Google I/O wasn't flashy, but it might be the most important yet Alex Duffy [H3] After Automation AI progress creates more work for humans, not less Dan Shipper [H2] The Only Subscription You Need to Stay at the Edge of AI [IMG: Newsletter] Newsletter [IMG: Podcast] Podcast [IMG: Sparkle] Organize your Mac [IMG: Spiral] Automate writing [IMG: Cora] Stop email stress [IMG: Monologue] Write 3x faster [IMG: Proof] Write with AI [IMG: Plus One] AI agent in Slack [IMG: Newsletter] [IMG: Podcast] [IMG: Sparkle] [IMG: Spiral] [IMG: Monologue] [IMG: Cora] [IMG: Plus One] [IMG: Proof] [H2] The Only Subscription You Need to Stay at the Edge of AI [H3] Putting AI to Work Everything you need to know about how to use LLMs. [IMG: Arrow Right] [H3] How to Use Codex for Knowledge Work: A Power User’s Guide Setup, workflows, and principles for turning Codex into an operating system for email, writing, research, planning, and reporting—even if you’re not an engineer Katie Parrott [H3] How We Run a 25-person Company on Four AI Agents How Every uses custom agents for prioritization, meeting notes, OKR planning, and growth tracking—plus sample prompts to build your own Katie Parrott [H3] What I Learned Onboarding Our AI Project Manager Claudie saves us 15 hours a week, but getting her up to speed was harder than hiring a human Nityesh Agarwal [H3] The Agent That Saved My Brain How Every's growth lead built a command center in Claude Code Austin Tedesco [H3] The Future of Programming Build more. Code less. [IMG: Arrow Right] [H3] Compound Engineering Gets an Upgrade The AI-native engineering philosophy has expanded from four steps to eight Kieran Klaassen [H3] We Gave Every Employee an AI Agent. Here’s What We’re Doing Differently Now. We’ve been working on a big release on the future of work for next week, shaped by what we learned from building Plus One. Paid subscribers Brandon Gell [H3] Claude Code for Product Managers How one general manager runs a full product using AI for planning, monitoring, and research Marcus Moretti [H3] The Folder Is the Agent I'm running 44 AI agents across multiple projects. Each one is just a model pointed at a folder. Kieran Klaassen [H3] The New Rules of Writing Exploring how writers and models make meaning together. [IMG: Arrow Right] [H3] Socrates as a Service The best stories live in people—and getting them out is still a human job Eleanor Warnock [H3] How I Escaped AI Autopilot The more reliable AI gets, the less we check its work. Research explains why, and what to do about it. Katie Parrott [H3] The Science of Why AI Still Can’t Write Like You New research on writing style reveals that the most distinctive parts of your prose are the ones you don't even think about Marcus Moretti [H3] This Is How the Every Editorial Team Uses AI We’re publishing our editorial guidelines, plus the workflows our writers, editors, and producers have built around them Kate Lee [H3] From Our Columnists [IMG: Arrow Right] [H3] Dan Shipper Dan Shipper is the CEO and cofounder of Every. Every week he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI & I.’ Read more from Dan [IMG: Arrow Right] Jun 12, 2026 [H3] The Moral of Fable What the most powerful model yet teaches us about the future of knowledge work Dan Shipper Jun 3, 2026 [H3] Figma Exec on Why the SaaSpocalypse Is a Goldmine 'AI & I' with director of product management for developers Matt Colyer Dan Shipper May 28, 2026 [H3] Vibe Check: Opus 4.8—Anthropic Should’ve Rounded Up to 5 Opus 4.8 tops both our Senior Engineer benchmark and our writing tests. It’s the most complete model we’ve tested. We just wish it had an app to match. Dan Shipper Read more from Dan [IMG: Arrow Right] [H3] Podcast [IMG: Arrow Right] [H3] AI & I Every week, Dan sits down with the smartest people in tech and explores the possibilities of AI together. Latest episodes [IMG: Arrow Right] [IMG: YouTube] [IMG: Spotify] [IMG: Apple Podcasts] [H3] Figma Exec on Why the SaaSpocalypse Is a Goldmine 'AI & I' with director of product management for developers Matt Colyer [H3] Inside Stainless, The Developer Tools Startup Anthropic Just Bought for $300 Million 'AI & I' with CEO Alex Rattray Episode 90 [H3] How OpenAI’s Codex Team Uses Their Coding Agent Thibault Sottiaux and Andrew Ambrosino on product strategy, the workflows they rely on, and why speed creates a new bottleneck Latest episodes [IMG: Arrow Right]
8735 chars
SUB-PAGE (https://every.to/podcast/) AI & I – Every
[H1] AI & I [H2] Learn how the smartest people in the world are using AI to think, create, and relate. [IMG: YouTube] [IMG: Spotify] [IMG: Apple Podcasts] PopularNewestOldest Episode 101 [H3] Transcript: ‘Can GitHub Be for Everyone?’ 'AI & I' with GitHub COO Kyle Daigle [H3] Figma Exec on Why the SaaSpocalypse Is a Goldmine 'AI & I' with director of product management for developers Matt Colyer Episode 100 [H3] Transcript: ‘We Automated Everything With AI and Tripled Our Headcount’ ‘AI & I’ on Dan Shipper’s viral essay ‘After Automation’ [H3] Inside Stainless, The Developer Tools Startup Anthropic Just Bought for $300 Million 'AI & I' with CEO Alex Rattray Episode 99 [H3] Transcript: ‘How Stripe Is Building for an Agent-native World’ ‘AI & I’ with Emily Glassberg Sands, head of data and AI at Stripe Episode 98 [H3] Transcript: ‘The AI Sandwich: Where Humans Excel in an AI World’ ‘AI & I’ with compound engineering creator Kieran Klaassen Episode 96 [H3] Transcript: ‘We Gave Every Employee an AI Agent. Here’s What Happened.’ ‘AI & I’ with Brandon Gell and Willie Williams Episode 91 [H3] Transcript: ‘Inside an AI High School, Through the Eyes of a 17-Year-Old Founder’ ‘AI & I’ with Alex Mathew Episode 90 [H3] How OpenAI’s Codex Team Uses Their Coding Agent Thibault Sottiaux and Andrew Ambrosino on product strategy, the workflows they rely on, and why speed creates a new bottleneck Episode 90 [H3] Transcript: ‘How OpenAI’s Codex Team Uses Their Coding Agent’ ‘AI & I’ with Thibault Sottiaux and Andrew Ambrosino Episode 89 [H3] Transcript: ‘Inside OpenAI’s Agentic Browser, Atlas’ 'AI & I' with Ben Goodger and Darin Fisher Episode 89 [H3] Inside OpenAI’s Agentic Browser, Atlas Ben Goodger and Darin Fisher on building a browser that does the chores—and what that means for the web Episode 88 [H3] Every’s Head of Consulting Just Automated Her Job Natalia Quintero on why resources and fancy tools don't predict success, the power of internal AI champions, and building Claudie—the AI that handles her project management Episode 88 [H3] Transcript: ‘Every’s Head of Consulting Just Automated Her Job’ ‘AI & I’ with Natalia Quintero Episode 87 [H3] Opus 4.5 Changed How Andrew Wilkinson Works and Lives Tiny’s cofounder on the relationship counselor, email client, and personal stylist he created with AI—and why he’s rethinking software investing Episode 87 [H3] Transcript: ‘Opus 4.5 Changed How Andrew Wilkinson Works and Lives’ ‘AI & I’ with Andrew Wilkinson Episode 86 [H3] Transcript: ‘Why Your AI Learning Projects Keep Fizzling Out’ ‘AI & I’ with Nir Zicherman Episode 86 [H3] Why Your AI Learning Projects Keep Fizzling Out Founder Nir Zicherman on what general-purpose LLMs can’t do—and what real learning requires Episode 84 [H3] Reid Hoffman Makes Five Predictions About AI In 2026 LinkedIn’s cofounder on agents beyond coding, AGI, and the skill that matters next Episode 84 [H3] Transcript: ‘Reid Hoffman Makes Five Predictions About AI In 2026’ ‘AI & I’ with Reid Hoffman Episode 83 [H3] Four Predictions for How AI Will Change Software in 2026 The Every team rings in the new year with bets on agent-native apps, designer-coders, and autonomous AI Repost [H3] Reid Hoffman on How AI Might Answer Our Biggest Questions Learn how to use philosophy to run your business more effectively Episode 82 [H3] Transcript: ‘What Jhana Meditation Feels Like—From the Inside Out’ ‘AI & I’ with Stephen Zerfas Episode 82 [H3] What Jhana Meditation Feels Like—From the Inside Out Jhourney cofounder Stephen Zerfas on what Jhana feels like, where it can go wrong, and how AI could make the practice easier to learn
4150 chars
SUB-PAGE (https://every.to/newsletter/) Every
Popular Newest Oldest Jun 18, 2026 [H3] How Anthropic Makes Claude More Reliable Plus: A rapid-fire roundup of AI topics we’ve given ourselves permission to skip, a workflow for onboarding Slack bots, and “Le Chaton Fat” takes center stage Laura Entis Jun 17, 2026 [H3] Loops for Non-coders Plus: What to do when your coding model disappears, GitHub's COO on 14 billion agent commits, and engineers questioning their future Laura Entis Jun 16, 2026 [H3] We Built Our Own Agent-native Tool. It Overhauled How We Build Software. A solution for our chaotic Monday meetings changed what we ship customers Stella Garber Jun 15, 2026 [H3] I Interviewed an AI Version of GitHub’s COO—Then Spoke to the Real One Here’s what my AI simulated interview taught me about getting the most out of a conversation Mike Taylor Jun 14, 2026 [H3] Fable, Disabled Plus: Everything we published about Anthropic's new model Every Staff Jun 12, 2026 [H3] The Moral of Fable What the most powerful model yet teaches us about the future of knowledge work Dan Shipper Jun 11, 2026 [H3] AI Everywhere, All at Once Fable 5 versus all other models, a Fable prompt starter pack, and an inside look at Apple’s developer conference Laura Entis Jun 10, 2026 [H3] How to Get the Most Out of Fable 5 We’re hosting two live camps for paid Every members to put the latest frontier tools to work: Fable 5 Camp this Friday, June 12, followed by Laura Entis Jun 8, 2026 [H3] My Editor Caught Me Sounding Like AI. Now AI Catches Me First. Turning a list of my writing foibles into a skill that stops me from getting away with them Katie Parrott Jun 6, 2026 [H3] AI Is Ready. Organizations Aren’t. Plus: Spiral 4.0 writes in your voice, and why the next blockbuster drug may come from China Every Staff Jun 5, 2026 [H3] How Microsoft Is Building for a World of Metered Intelligence The company gets pragmatic in AI’s expensive era Mike Taylor Jun 4, 2026 [H3] Why We’ll Still Be Employed When AI Can Do Everything Spiral 4.0 introduces a new style engine, why enterprise roadmaps are hard, and a workflow for making your coding agent more efficient Laura Entis Jun 4, 2026 [H3] Spiral 4.0 Goes Agent-native Write more like yourself wherever you work Marcus Moretti Jun 3, 2026 [H3] Figma Exec on Why the SaaSpocalypse Is a Goldmine 'AI & I' with director of product management for developers Matt Colyer Dan Shipper Jun 3, 2026 [H3] Opus 4.8 Is Smart Enough to Get in Your Way We revisit Anthropic’s newest model, Figma responds to the 'SaaSpocalypse,' and how Every’s senior designer wrangles multiple image generators Laura Entis Jun 2, 2026 [H3] The Eight Levels of AI Adoption A guide to understanding your state of AI adoption, plus example prompts and how to know when you’re ready to move up Mike Taylor Jun 2, 2026 [H3] Where Do You Fall on the Eight Levels of AI Adoption? A guide for identifying which state of AI adoption matches your needs, complete with sample prompts and advice for when it’s time to move to the next level Mike Taylor Jun 1, 2026 [H3] Company-wide AI Implementation in Five Steps A look inside Every’s executive training playbook Natalia Quintero Jun 1, 2026 [H3] An Executive’s Guide to Implementing AI A playbook for building organizational capability from Every’s consulting team Natalia Quintero May 30, 2026 [H3] How We Work Now Plus: Vibe Check on Opus 4.8, the Vatican’s first AI encyclical, and a doctor on AI-guided care Every Staff May 29, 2026 [H3] Compound Engineering Gets an Upgrade The AI-native engineering philosophy has expanded from four steps to eight Kieran Klaassen May 28, 2026 [H3] Vibe Check: Opus 4.8—Anthropic Should’ve Rounded Up to 5 Opus 4.8 tops both our Senior Engineer benchmark and our writing tests. It’s the most complete model we’ve tested. We just wish it had an app to match. Dan Shipper May 27, 2026 [H3] After ‘After Automation’ Plus: The Vatican weighs in on AI labor, and our Codex playbook Katie Parrott May 26, 2026 [H3] How to Use Codex for Knowledge Work: A Power User’s Guide Setup, workflows, and principles for turning Codex into an operating system for email, writing, research, planning, and reporting—even if you’re not an engineer Katie Parrott
4748 chars
SUB-PAGE (https://every.to/@danshipper/) Dan Shipper – Every
Chain of Thought [H1] Dan Shipper CEO & Cofounder Dan Shipper is the CEO and cofounder of Every. Every week he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI & I.’ [IMG: X / Twitter] [IMG: LinkedIn] PopularNewestOldest Jan 12, 2023 [H3] GPT-3 Is the Best Journal I’ve Ever Used My slow and steady progression to living out the plot of the movie 'Her' Dan Shipper Jan 18, 2024 [H3] The Knowledge Economy Is Over. Welcome to the Allocation Economy. In the age of AI, every maker becomes a manager Dan Shipper Jan 25, 2021 [H3] How Hard Should I Push Myself? What the science of stress tells us about peak performance Dan Shipper Mar 30, 2023 [H3] GPT-4 Is a Reasoning Engine Reason is only as good as the information we give it Dan Shipper Jan 5, 2023 [H3] The End of Organizing How GPT-3 will turn your notes into an *actual* second brain Dan Shipper Feb 11, 2022 [H3] The Fall of Roam I don’t use Roam anymore. Why? Dan Shipper Dec 19, 2022 [H3] Here’s What I Saw at an AI Hackathon AI gossip, celebrity sightings, tech trends—and some great projects Dan Shipper Mar 2, 2023 [H3] How to Make AI Write Like Your Favorite Author A step-by-step guide from prompting to fine-tuning Dan Shipper Mar 16, 2023 [H3] GPT-4: A Copilot for the Mind Never forget what you read again Dan Shipper Jun 22, 2023 [H3] What I Do When I Can’t Sleep AI, insomnia, and the articulation of taste Dan Shipper Dec 3, 2022 [H3] Linus Lee Is Living With AI How a researcher uses generative AI to help him think better and get more done Dan Shipper Sep 5, 2024 [H3] Why Generalists Own the Future In the age of AI, it’s better to know a little about a lot than a lot about a little Dan Shipper Sep 7, 2023 [H3] Admitting What Is Obvious I’m a writer—what are you? Dan Shipper Nov 10, 2022 [H3] AI and the Age of the Individual When intelligence is cheap, individuals win Dan Shipper Sep 14, 2023 [H3] Using ChatGPT Custom Instructions for Fun and Profit How to 10x ChatGPT with personalized answers Dan Shipper Mar 23, 2023 [H3] Awe, Anxiety, and AI Navigating the conflicting emotions of this moment in tech Dan Shipper Jan 19, 2023 [H3] Can GPT-3 Explain My Past and Tell My Future? I loaded journal entries from the past 10 years into GPT-3—and started asking it questions Dan Shipper Sep 10, 2020 [H3] The CEO of No How entrepreneur Andrew Wilkinson turns emails into opportunities Dan Shipper Jun 15, 2023 [H3] GPT-4 Can Use Tools Now—That’s a Big Deal What "function calling" is, how it works, and what it means Dan Shipper Feb 16, 2023 [H3] Writing Essays With AI: A Guide We should take AI seriously as a creative tool—here's how Dan Shipper Jun 29, 2023 [H3] I Let An AI Do My Email A review of Superhuman AI Dan Shipper Oct 2, 2024 [H3] OpenAI Launches a Document and Code Editor Integrated Into ChatGPT Canvas is an Artifacts competitor aiming at the future of AI-human collaboration Dan Shipper Feb 29, 2024 [H3] Can Gemini 1.5 Pro Beat Our Best Stock Trade? I sit down with investor Jesse Beyroutey to try to find the next Nvidia—with AI Dan Shipper Jan 25, 2022 [H3] Andrew Huberman’s Morning Routine, Backed by Neuroscience A Summary of How the Podcast Host Starts His Day Dan Shipper
3786 chars
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
15Review mentions (all pages)
0External proof links (all pages)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 13 | 0 |
| /podcast/ | 0 | 0 |
| /newsletter/ | 1 | 0 |
| /@danshipper/ | 1 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Homepage schema
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Every",
"url": "https://every.to",
"description": "The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily. Cited by The New York Times and The New Yorker.",
"publisher": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to",
"logo": {
"@type": "ImageObject",
"url": "https://every.to/android-chrome-512x512.png"
},
"sameAs": [
"https://x.com/every",
"https://www.linkedin.com/company/every-media/",
"https://podcasts.apple.com/us/podcast/ai-i/id1719789201",
"https://open.spotify.com/show/5qX1nRTaFsfWdmdj5JWO1G"
],
"foundingDate": "2020",
"founder": {
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper"
}
}
}
/podcast/
[
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Every",
"url": "https://every.to",
"description": "The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily. Cited by The New York Times and The New Yorker.",
"publisher": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to",
"logo": {
"@type": "ImageObject",
"url": "https://every.to/android-chrome-512x512.png"
},
"sameAs": [
"https://x.com/every",
"https://www.linkedin.com/company/every-media/",
"https://podcasts.apple.com/us/podcast/ai-i/id1719789201",
"https://open.spotify.com/show/5qX1nRTaFsfWdmdj5JWO1G"
],
"foundingDate": "2020",
"founder": {
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper"
}
}
},
{
"@context": "https://schema.org",
"@type": "Blog",
"name": "AI & I",
"url": "https://every.to/podcast",
"publisher": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to",
"logo": {
"@type": "ImageObject",
"url": "https://every.to/android-chrome-512x512.png"
},
"sameAs": [
"https://x.com/every",
"https://www.linkedin.com/company/every-media/",
"https://podcasts.apple.com/us/podcast/ai-i/id1719789201",
"https://open.spotify.com/show/5qX1nRTaFsfWdmdj5JWO1G"
],
"foundingDate": "2020",
"founder": {
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper"
}
}
}
]
/newsletter/
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Every",
"url": "https://every.to",
"description": "The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily. Cited by The New York Times and The New Yorker.",
"publisher": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to",
"logo": {
"@type": "ImageObject",
"url": "https://every.to/android-chrome-512x512.png"
},
"sameAs": [
"https://x.com/every",
"https://www.linkedin.com/company/every-media/",
"https://podcasts.apple.com/us/podcast/ai-i/id1719789201",
"https://open.spotify.com/show/5qX1nRTaFsfWdmdj5JWO1G"
],
"foundingDate": "2020",
"founder": {
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper"
}
}
}
/@danshipper/
[
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Every",
"url": "https://every.to",
"description": "The only subscription you need to stay at the edge of AI. Ideas, apps, and training from practitioners who build with AI daily. Cited by The New York Times and The New Yorker.",
"publisher": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to",
"logo": {
"@type": "ImageObject",
"url": "https://every.to/android-chrome-512x512.png"
},
"sameAs": [
"https://x.com/every",
"https://www.linkedin.com/company/every-media/",
"https://podcasts.apple.com/us/podcast/ai-i/id1719789201",
"https://open.spotify.com/show/5qX1nRTaFsfWdmdj5JWO1G"
],
"foundingDate": "2020",
"founder": {
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper"
}
}
},
{
"@context": "https://schema.org",
"@type": "Person",
"name": "Dan Shipper",
"url": "https://every.to/@danshipper",
"description": "Dan Shipper is the CEO and cofounder of Every. Every week he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI & I.’",
"image": "https://d24ovhgu8s7341.cloudfront.net/uploads/user/avatar/2743/large_EVENT.to_SJH_FINALS_-15.jpg",
"jobTitle": "CEO & Cofounder",
"worksFor": {
"@type": "Organization",
"name": "Every",
"url": "https://every.to"
},
"sameAs": [
"https://x.com/danshipper",
"https://www.linkedin.com/in/danshipper/"
]
}
]
Your Diagnosis
Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.
Information Density
0 / 30
Read the Narrative & headings: do hard facts (prices, dates, numbers) outweigh fluff power-words?
Semantic Coherence
0 / 20
Compare the homepage promise against the sub-page reality. Do they hold the same line?
Trust & Proof
0 / 20
Weigh review mentions against actual external proof links. Claims without verification = theatre.
Commodity Fingerprint
0 / 15
Check headings & narrative against the industry clichés in the setup above.
Identity & Authority
0 / 15
Inspect the schema: is there real Organization/Person identity with sameAs links, or gaps?
Your predicted BS score
0 / 100
Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)
These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.
Information Density
Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
Semantic Alignment
Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.
Trust & Proof
Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Commodity Fingerprint
Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.
Identity & Authority
Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.
B
BS Level
Media, News & Publishing
33.9 Avg BS
Based on 804 businesses audited.
✓ Less BS than average
Every has 8.9 points less BS than the average for Media, News & Publishing.
BS Detector
Media, News & Publishing BS: Every (every.to)
https://every.to
📍 Industry: Media, News & Publishing
25
BS / 100
Every is a high-substance practitioner-led media house that occasionally trips over its own marketing slogans and technical heading structures. It successfully avoids the ‘generic AI news’ trap by building and documenting its own tools, though it relies on unlinked prestige citations for trust.
Info Density
Power-words vs. Substance ratio.
8
27% BS
Semantic Coherence
Homepage promise vs. Sub-page reality.
3
15% BS
Trust & Proof
Verifiable evidence vs. Trust Theatre.
8
40% BS
Commodity Fingerprint
Detection of industry clichés/templates.
4
27% BS
Identity & Authority
Expert verifiability & Schema depth.
2
13% BS
1. Correct the technical error on the homepage that repeats the same H2 heading five times. 2. Replace the unlinked ‘Cited by’ text in the metadata with a ‘Press’ or ‘Citations’ section on the homepage containing direct outbound links to the NYT and New Yorker articles. 3. Provide a ‘Methodology’ link for the 3x speed increase claim for Monologue. 4. Diversify H2 headings to reflect the actual content of the sections they precede rather than repeating the site’s primary value proposition.
The site aligns perfectly with the Media, News & Publishing industry, specifically targeting a digital-first, practitioner-led editorial model. It utilizes industry-standard patterns such as editorial guidelines, named staff journalists, and subscription-based content delivery.
“The score of 25 is driven primarily by the lack of verifiable proof paths for major media citations and the repetitive heading structure on the homepage. Information density and authority gaps are low, indicating a high level of genuine expertise and substance relative to the industry average.”
Verified Analysis Date: June 20, 2026
© 1EuroSEO Independent Evaluator — Non-Sponsored Result
Analysis Disclosure & Source Attribution
This training module utilizes a snapshot of public data from Every, captured on June 20, 2026, to demonstrate how machine logic evaluates different types of business narratives.
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.
Notice to Every: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.
Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://every.to to view the most current version of its content and learn from the source what this company is about and what it offers.