Every 2025:
Our Year by the Numbers

Highlights of what we published and launched over the last 12 months

Newsletter

Top 10 most popular essays

May 29, 2025

Knowledge Work Is Dying—Here’s What Comes Next

While AI devours information-based roles, OpenAI, Alphabet, and Apple are investing in wisdom work—and you can, too

Jul 16, 2025

How I Use Claude Code to Ship Like a Team of Five

It's the first AI tool that feels like delegating to a colleague, not prompting a chatbot

Oct 27, 2025

Inside the AI Workflows of Every’s Six Engineers

Each person on the team has tailored their stack to their individual tastes

Apr 16, 2025

Vibe Check: o3 Is Here—And It’s Great

The highest praise I can give is that I’m already using it all the time

Aug 18, 2025

My AI Had Already Fixed the Code Before I Saw It

Compounding engineering turns every pull request, bug fix, and code review into permanent lessons your development tools apply automatically

Jan 23, 2025

We Tried OpenAI’s New Agent—Here’s What We Found

Operator (Could you help me do this task?)

Nov 5, 2025

What Jason Fried Learned From 26 Years of Building Great Products

The founder of 37signals on the power of products centered around a single, whole idea

Nov 7, 2025

Teach Your AI to Think Like a Senior Engineer

These are the eight strategies I use to help my AI learn my codebase, my patterns, and my preferences

Feb 3, 2025

We Tried OpenAI’s New Deep Research—Here’s What We Found

Vibe check: It’s awesome.

Jan 19, 2024

The Knowledge Economy Is Over. Welcome to the Allocation Economy.

In the age of AI, every maker becomes a manager

Paywalled converted

1 master plan

Sep 26, 2025

Every’s Master Plan: Part II

The only subscription you need to keep you at the edge of AI

The most frequently mentioned LLM was

Claude

View related articles

272

original articles about what comes next

40

unique writers

32

Vibe Checks—honest reviews of new models and tools by Every's builders

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The Podcast: AI & I

Top 10 most popular podcast episodes

Our most-watched episodes featuring conversations with AI leaders, builders, and visionaries shaping the future of technology.

Watch on YouTube

Kieran Klaassen and Nityesh Agarwal, Every

1

Kieran Klaassen and Nityesh Agarwal, Every

Guillermo Rauch, Vercel

2

Guillermo Rauch, Vercel

Cat Wu and Boris Cherny, Anthropic

3

Cat Wu and Boris Cherny, Anthropic

Noah Brier, Alephic

4

Noah Brier, Alephic

Alexander Embiricos, OpenAI

5

Alexander Embiricos, OpenAI

Paul Ford, Aboard

6

Paul Ford, Aboard

Reid Hoffman, LinkedIn

7

Reid Hoffman, LinkedIn

Josh Miller and Hursh Agrawal, The Browser Company

8

Josh Miller and Hursh Agrawal, The Browser Company

Sarah Tavel, Benchmark

9

Sarah Tavel, Benchmark

Kevin Scott, Microsoft

10

Kevin Scott, Microsoft

41

Podcast

interviews hosted by Dan Shipper

83,957

Hours listened

hours—just shy of a decade—spent listening

Studio & camps

Spiral

1,985

Writing Styles created

30,234

drafts generated

Sparkle

35.69M

files organized

Cora

31.55M

emails processed

257,084

conversations had with the assistant

~150

years saved reading email

Camps

8 camps

to teach the latest tools

5,395 people

learned alongside us

Monologue

10,500

hours

were spent talking to Monologue—more than a whole year

103

min

was the longest dictation to Monologue

60.7M

words dictated to Monologue—100x the Oxford English Dictionary

AI Diplomacy

We made AI models compete in a re-imagining of the classic historical strategy game.

50,000

live viewers

60,000

reads

AI tokens

How much text we asked models to process.

OpenAI

OpenAI

Input 92.6B

Output 5.9B

Anthropic

Anthropic

Input 235.9M

Output 11M

Consulting

145

training sessions delivered

1,530

attendees

Team meeting illustration