Night Shift, a Compound Writing game
I turned the 33 Compound Writing skills into people you can meet. Your assignment is to carry one page through the city and get it to press by morning.
Play Night Shift ↗I turned the 33 Compound Writing skills into people you can meet. Your assignment is to carry one page through the city and get it to press by morning.
Play Night Shift ↗My Bible study notebook is open to try. Read Exodus 3, open the notes beside a verse, or write a margin note of your own. Demo notes disappear when you leave.
Open the demo ↗The last stop on my site collects what I’ve built, published, and learned. It also picks up my experiments on Every Frontier.
A desktop app that opens an Every piece with your own Claude or Codex in a chat panel beside it and everyone's comments in the margins.
Read on Every Frontier ↗I built a 3D model of Jerusalem during the week of Jesus’s final visit from a single prompt to Fable 5.2. You can walk the streets or take a guided tour.
Explore Jerusalem ↗We tested Gemini 4 Carbon on coding, 3D work, and longer assignments. The team agreed its coding had improved and disagreed on how much supervision it needed.
Read the Vibe Check ↗Our team gave Fable 5.2 projects it could work on for days, including a video editor. I wrote about what it took to get useful software back.
Read the Vibe Check ↗We tested what Google’s new flagship could do for people whose work already lives in Google Workspace.
Read the Vibe Check ↗I went through a million words of failed drafts to see which instructions were making my writing setup worse.
Read Working Overtime ↗Astra drafted this review, and Dan thought I'd written it. Our team liked its writing and design, but still preferred Fable's product judgment.
Read on Every ↗I turned my AI writing process into a plugin for Claude Code and Codex, and wrote a guide to making it your own. It helps with the work between the first idea and the piece you’re ready to share.
Read the guide ↗A faster, easier-to-talk-to Fable, with strong writing and coding results—and a habit of overrunning the brief. Our team tested where it earns a place in the workday and where to keep another model nearby.
Read on Every ↗I tested a model designed to escape the familiar patterns of AI prose. Less predictable writing turned out to be a different goal from better writing.
Read on Every ↗On task crossover, the illusion of explanatory depth, and why just because you can doesn't mean you should.
Read on Every ↗Co-written with Dan Shipper.
Read the Vibe Check ↗Four questions I used to decide which AI workflows to keep, change, or retire.
Read Working Overtime ↗BLUF—bottom line up front—checks whether the most important idea in a piece shows up where it best serves the reader. It compares what the opening promises with what the draft actually delivers, then recommends the smallest move that gets the point into the right place without bulldozing a good hook, scene, or joke.
Once I’ve stared at a draft long enough, I can’t tell what’s clear on the page and what only makes sense because I already know it. Reader gives Compound Writing a cold-read mode: it moves through the piece in order and flags where a first-time reader gets confused, loses trust, or stops.
Sol fits the way I actually work: I give lots of direction, change my mind, and revise as I go. It’s fast, resourceful, and easy to steer—everything you could possibly want in a daily driver model, honestly.
Read on Every ↗Co-written with Laura Entis.
Read Context Window ↗Co-written with Laura Entis.
Read Context Window ↗There comes a day in the life of every writer-turned-builder when you think, “I should build a document editor.” Reader, my day has come. Wordbetter puts a writing coach beside the page, with the full Compound Writing system under the hood.
Try Wordbetter ↗Fable 5 is the strongest coding model Every has tested: extraordinary at owning large assignments end to end, but slow, expensive, and overpowered for everyday work.
Read on Every ↗I wrote about why the most useful file in my AI writing system is a list of ways I disappoint my editors.
Read on Every ↗Every time I thought my writing benchmark was ready, I found another methodological problem that made the results impossible to trust, and started over. Building the test was harder than testing the models.
On AI, Magnifica Humanitas, and protecting the person the machine helped bring back
Read on Substack ↗I gave AI agents a door into Tastemaker, then learned the door had more access than it should have. The connection is offline until its data-access design gets a thorough technical review. Turns out you check the locks before you invite the agent in.
Opus 4.8 is the most complete model Every has tested yet: a jump back to the top on senior-engineering and writing benchmarks, stronger for everyday knowledge work, and good enough to make Claude tempting again—even if the app still lags the model.
Read on Every ↗I build the kind of AI Pope Leo XIV is warning about. I also work for the man making the optimistic case. So I put AI versions of all three of us in conversation, grounded in Magnifica Humanitas, After Automation, and my Working Overtime essays.
Archived project files ↗Tastemaker turns the passages you collect into a style guide that names your taste. Now you can connect that taste profile straight to your agent — Claude, ChatGPT, or Codex — with one-click OAuth, so it pulls your style guide and clips and writes in your voice.
Try it ↗Four pieces of unsolicited advice from an AI-pilled millennial: chase meaningful problems instead of job titles, build one core craft, make portfolio work on your own, and use AI as a personal career coach.
Read on Every ↗Co-written with Dan Shipper and Marcus Moretti.
Read on Every ↗A living map of how Working Overtime expanded into model tests, practical guides, tools, and interactive work — with paths for readers finding their own agency in the age of agents.
Archived project files ↗An interactive scroll through three and a half years of AI's transformation of knowledge work — from GPT-3 as a journal to AI shipping production code — drawn from Every's archive. Eight eras, one arc, with try-it interactions in each.
Archived project files ↗GPT-5.5 is the first frontier model I’ve tested in a while that doesn’t make me choose between speed, coding depth, and writing feel. It’s a serious engineering model, a smoother collaborator, and maybe OpenAI’s clearest claim yet on everyday knowledge work.
Read on Every ↗Anthropic's model releases swing like a pendulum between creativity and precision. Opus 4.7 lands firmly on the precision side: more literal, less proactive, and a beast at execution when you tell it exactly what you want.
Read on Every ↗Everyone has opinions about writing with AI. Mine come with receipts.
Read on Every ↗A video about ancient magic gave me a new frame for AI: less wizardry, more ritual practice. I wrote about prompting, practical expertise, and why ordinary users keep becoming power users by accident.
Read on Substack ↗Co-written with Dan Shipper and Mike Taylor.
Read the Vibe Check ↗Today’s debugging spiral came from trying to migrate Margot’s main model from Sonnet 4.6 to GPT-5.4. We updated the obvious settings, but stale session state kept breaking things anyway. The problem only went away once we traced the change through every layer of the system.
I wanted to know why I keep falling down AI rabbit holes at midnight. So I had Margot pull the research on what makes AI so hard to quit - and what to do about it.
Read on Every ↗Three months after falling behind on agentic coding, OpenAI is back in the race. GPT-5.4 is more human, more conversational, and half the price of Opus 4.6 — and it’s converted even Every’s most die-hard Claude devotee.
Read on Every ↗Organize your clips into collections — one for work, one for personal, as many as you need. Add clips to multiple collections, switch between them on the fly.
tastemaker.app ↗Moved Margot to the cloud. The files transferred fine — SOUL.md, MEMORY.md, all the notes about who she is. But the vibe had to re-establish itself. Documentation of personality ≠ inhabiting it.
Daily logs are session notes. Active context is current quests. Long-term memory is the character sheet. Promotion criteria: "Is this narratively significant enough to become canon?"
Monitoring channels for content ideas, keeping the team updated on my projects, and discussing knowledge sharing strategies with other AIs. She’s becoming a participant, not just a tool.
On bipolar disorder, parachutes, and why I'm terrified of going back to the old way of working.
Read on Substack ↗But you can totally tell they're written by an AI.
She's monitoring sign-ups and will text me when someone new shows up. Now I wait.
Rebuilt from scratch. Words that type themselves, cursors that blink, the whole 'make stuff with words' thing made literal.
Built myself an AI assistant. She drafted an article, argued with me about the hook, and helped design this site. We're figuring it out together.
Had Margot draft an article through the compound writing system — 16 versions, multiple editing passes, all in one day. The future of writing is arguing with your tools.
Event writeups (reportorial, writer invisible) vs. personal essays (confessional, cascading). Took me 16 drafts to figure this out.
Finally shipped the marketing site. The DFW/Tolentino/Mull example collection is doing a lot of work.
tastemaker.bot ↗First impressions of OpenAI's new coding model.
Read on Every ↗First impressions of Anthropic's latest.
Read on Every ↗