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AI-pill your whole company with the Every Agent: https://xitter.cf/t.co/ki3hyz8sVP
Joined September 2012
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Introducing: The @Every agent, the fastest way to AI-pill your company, now officially out of beta.
With personal agent use, no one can see how their teammates are working with AI. With one “company agent” in @SlackHQ, they can.
The Every agent comes loaded with the skills and workflows we use to run Every, and each person on your team gets $15 in free credits to try it.
Install @Every in @SlackHQ today: every.to/agent?utm_source=x&…
BREAKING:
Introducing the @Every Agent—an agentic coworker in Slack built to help you AI-pill your company.
It comes with:
- Everything you'd expect from a premium company agent. You can delegate difficult, long-running—like opening PRs, writing reports from large datasets, and monitoring social or customer feedback—and get high-quality results all from Slack
- Every's best workflows, pre-installed and always updated. Compound Engineering to Compound Writing. We add more all the time.
- Personalized Frontier Alerts. to help you keep up with new models. When we drop a Vibe Check, the Every Agent will read it and let you know if the new model is relevant to your workflow.
- Zero markup on tokens. What we pay is what you pay—as token prices go down, so does your bill.
You can try it today with $15 in free credits per person, up to $500 per workspace.
After that: it comes with your $30/month Every subscription, plus tokens at cost.
Add the Every Agent to Slack: every.to/agent
Why it's hard to AI-pill your coworkers
If you’re the AI-pilled one at work, you know the problem: you discover something incredible in Claude or Codex, but getting your coworkers to try it is another matter.
The problem is that most of your AI use is invisible. You do it alone, in a terminal or a chat window.
Your coworkers see the finished report or the five new ads, but they never see the request that produced them, or the corrections you made along the way. When you describe it afterward, it sounds like magic, but nobody learns a magic trick without seeing how it’s done.
Why a company agent, in Slack, solves this problem
When you use a company agent like the @every agent you go from prompting in private, to prompting in public.
In a Slack channel, a coworker who would never open a terminal scrolls past a thread with your agent interaction and thinks: I could do that too.
This lets you show instead of tell your coworkers about your discoveries. New AI tools and workflows then spread naturally and virally across your organization.
That's why we made the @every agent for ourselves—and why we're releasing it to you today.
Add the Every Agent to Slack: every.to/agent
Your AI team needs pirates and architects.
Pirates try a billion things and find what’s useful. Architects turn the promising mess into something other people can use and maintain.
At Every, @danshipper sees that handoff as the difference between a one-off experiment and a system the company can build on.
Watch the full episode: every.to/context-window/keep…
A new AI model drops. Cool, but does it change anything about your work?
Frontier Alerts is our first answer to that question: The Every Agent uses what it knows about your tools and workflows to suggest what a new model might help you do—or tell you there’s little reason to switch.
The goal is to make a model release feel useful rather than overwhelming: You know what to try, where to use it, and when to keep working as you are.
Install the Every Agent in Slack: every.to/agent?utm_source=x&…
When understanding goes from “this is too much work” to “this changes everything” in seven minutes.
@kevinrose on why @kieranklaassen’s Compound Engineering plugin clicked instantly.
Every đź“§ retweeted
Replying to @hyumankind
use artifacts to show you multiple layouts + product questions that you should answer
ask claude to make a video of the flow or concept (with the cursor moving and click/tap)
make personal tools. i made one to learn origami and another to quiz me on my draft PRs
Every đź“§ retweeted
I am working on the Frontier at @every
Meet the team and more!
keeping up with AI is a full-time job. that's why every company needs a frontier team:
the frontier team's job is to keep up as models change. everyone else's job is to use what they learn
we made one @Every and it's completely changed how we work:
0:00 Introduction: Why every company needs a frontier team
2:42 Why the best frontier teams have pirates and architects
4:57 How Head of Evals @hammer_mt builds personal benchmarks
6:46 How Opus edited an explainer video using Slack messages and meeting notes
10:20 Working with AI means protecting other people’s attention
12:26 Why a frontier team needs a “wrangler” like Arielle Shipper
18:58 Why senior editor @jackcheng built a tabless browser
24:37 How resident writer @kplikethebird teaches her AI writing plugin who the reader is
30:51 Inside engineer @JannikJung’s personal AI orchestrator
35:41 Compound engineer @kieranklaassen uses AI to build power tools
Every đź“§ retweeted
The frontier team is easily one of the coolest within @every and @kieranklaassen is like the frontieriest of the frontier
Every đź“§ retweeted
I'm in the frontier team at a frontier company on the frontier of AI
keeping up with AI is a full-time job. that's why every company needs a frontier team:
the frontier team's job is to keep up as models change. everyone else's job is to use what they learn
we made one @Every and it's completely changed how we work:
0:00 Introduction: Why every company needs a frontier team
2:42 Why the best frontier teams have pirates and architects
4:57 How Head of Evals @hammer_mt builds personal benchmarks
6:46 How Opus edited an explainer video using Slack messages and meeting notes
10:20 Working with AI means protecting other people’s attention
12:26 Why a frontier team needs a “wrangler” like Arielle Shipper
18:58 Why senior editor @jackcheng built a tabless browser
24:37 How resident writer @kplikethebird teaches her AI writing plugin who the reader is
30:51 Inside engineer @JannikJung’s personal AI orchestrator
35:41 Compound engineer @kieranklaassen uses AI to build power tools
Two weeks with @AnthropicAI’s new always-on agent Duet took @danshipper from mostly ChatGPT back to a 50/50 split with Claude.
Our hands-on review covers what won him over—and where Duet still falls short: every.to/vibe-check/vibe-che…
Every đź“§ retweeted
keeping up with AI is a full-time job. that's why every company needs a frontier team:
the frontier team's job is to keep up as models change. everyone else's job is to use what they learn
we made one @Every and it's completely changed how we work:
0:00 Introduction: Why every company needs a frontier team
2:42 Why the best frontier teams have pirates and architects
4:57 How Head of Evals @hammer_mt builds personal benchmarks
6:46 How Opus edited an explainer video using Slack messages and meeting notes
10:20 Working with AI means protecting other people’s attention
12:26 Why a frontier team needs a “wrangler” like Arielle Shipper
18:58 Why senior editor @jackcheng built a tabless browser
24:37 How resident writer @kplikethebird teaches her AI writing plugin who the reader is
30:51 Inside engineer @JannikJung’s personal AI orchestrator
35:41 Compound engineer @kieranklaassen uses AI to build power tools
Duet vs. Dot
Full vibe check on @AnthropicAI's Duet: every.to/vibe-check/vibe-che…
One reason @danshipper gets the writing done: He meets with @jackcheng every week, and he wants to have something good to show him.
An editor helps with emphasis, structure, and what to cut. But Dan also describes a simpler motivation: Jack is a writer he admires, and he wants Jack to think the work is good.
Jack says he hears his editors’ voices as he writes, anticipating what @katelaurielee would say about a paragraph.
Read the full piece every.to/p/how-codex-happene…
“Dan is much better at using AI than I am. But I can do some things that he can do now because he has built skills there.”
Our head of marketing, @DABrundage, describes what changes when a team shares one agent.
He can create a design asset but gets stuck at the pull request needed to update a website. A shared workflow carries the work through that step.
Someone else can borrow the design skill in return.
Install the Every Agent in Slack: every.to/agent?utm_source=x&…
We built a personal agent to rival OpenClaw. Then we deleted 86,730 lines of code and started over.
Behind the scenes on how @bigwilliestyle and team created the Every Agent, our Company Agent in @SlackHQ. Gift link here for all to read: every.to/source-code/why-we-…
ATTENDING: @drupeek of Agora Intelligence Inc. will attend Thesis: 2027.
Apply to attend Thesis, our inaugural conference on work and AI: every.to/thesis-2027?utm_sou…
Using AI to capture and find your notes is part of writing with AI, too.
At Every, writers like @jackcheng and @danshipper use these tools in different ways. Some use them to retrieve something they’ve already recorded. Others use them to help edit or draft.
That makes “Was AI used?” a less useful question than “How was it used, and did the writer pay attention?”
A piece assembled from carefully considered choices deserves a different judgment from hundreds of generated posts that no one bothered to read.
Read the full piece every.to/p/how-codex-happene…
.@NataliaZarina built her own CRM and used it for months. Then maintaining it started taking time away from her consulting work.
She wanted to spend that time helping clients implement AI, so she moved her data to @attio.
Vibe coding gave her a tool she could use. Keeping it running came with an ongoing cost: her attention. Eventually, paying for a CRM made more sense for the work she wanted to do.
Watch the full episode: every.to/context-window/the-…
Ask your agent its favorite color. Apparently... it has one.
Every time I tell @hammer_mt that something about branding can't be quantified with AI he pulls a stunt like this.
What if you could ask an agent to check whether a quote in an article was taken out of context?
For “How Codex Happened,” @danshipper wanted readers to be able to examine the interviews behind the story. A writer still chooses what goes into the piece. Publishing the source material gives readers a way to look beyond those choices.
They can ask an agent to read the interviews, find something Dan missed, or use the material to write a story of their own.
Read the full story of how Codex happened: every.to/p/how-codex-happene…
The idea for your next workshop might be in a Slack channel you never open.
@micahbrich, our head of AI education, asked the Every Agent to look for conversations that could become a workshop, a lesson, or an example worth teaching.
He set it up through a conversation with the agent.
Now it posts opportunities in the education channel he already checks every day, bringing useful ideas from across the company into one place.
Install the Every Agent in Slack: every.to/agent?utm_source=x&…












