Dan Shipper
Co-founder and CEO of Every. Writes the Chain of Thought column about working with AI tools and hosts the podcast AI & I.
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What they believe
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Most customers are unfamiliar with frontier AI and look to the companies building their products to tell them what to do.
but most of your customers are not familiar with this stuff. They're actually looking to you uh, to tell them what to do.
youtube.comSaid 10 Sept 2026This on korrents
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Within about a year everyone will have at least one agent they talk to and offload work to.
It's going to bifurcate in two main ways. One is everyone's going to have at least one agent that they talk to, that they can offload work to.
youtube.comSaid 24 May 2026This on korrents
The bold line is korrents’ wording; the quote is theirs. These 2: what they wrote before what they said aloud, one per source, newest first.
Beliefs
Korrents What they believe 35 beliefs — each backed by an exact quote.
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Recent
Most customers are unfamiliar with frontier AI and look to the companies building their products to tell them what to do.
but most of your customers are not familiar with this stuff. They're actually looking to you uh, to tell them what to do.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
Executing a roadmap and staying at the AI frontier are opposed ways of working, so asking the same people to do both is very hard.
It feels like if you're running a product team, it feels like it's everyone's job to execute the road map at a high level and to stay at the frontier at the same time. And that's really, really hard because these are very opposed ways of working.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
A product organisation should run like a research lab, or at least add research-lab elements.
My contention that you should run your product org like a research lab or you should add some research lab lab elements to your product org.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
Show 32 more
AI makes a labs team of a single person possible.
What is amazing about AI is it allows you to have a labs team of one.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
A labs team should expect to throw away about 90% of what it makes.
On a labs team, you are going to expect to dispose of like 90% of what you make. You try it and then you throw it away.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
In the AI age, an experimental team should probably be one or two people at most.
I think in the AI age, I I call it a two-slice team. Like you want one or two people max.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
On a labs team the feedback loop between making something and knowing whether it is good matters most, and the tightest loop is building for yourself.
The biggest thing that that matters on a labs team is making the feedback loop as tight as possible between making something and knowing if it's good. And the tightest feedback loop is making something for yourself.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
A lab should run many experiments in parallel, even competing approaches to the same problem.
you should be building many experiments in parallel, even if those experiments are trying to do the same thing. Try competing approaches to the problem.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
Novelty feels exciting, so whether an experiment is really better can only be judged by usage over time.
what is new feels very exciting, but the question is when it's a month later, is it actually any better? It's hard to know unless you use time and usage over time as a filter.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
Building something that disrupts your own product is an old idea that is only now starting to work, because AI lets teams move so fast.
the idea of doing a self-disruption of building something that then disrupts your own product has been around for a while, but is actually starting to work now in AI because you can move so fast.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
A product organisation set up well welcomes new model releases instead of dreading them.
The way that you know this is working is you will welcome moments when new models drop and be excited about them instead of dreading them.
How to run your product team like a research lab | Dan Shipper (Every) (Lenny & Friends Summit, San Francisco, 10 September 2026) Said 10 Sept 2026
Within about a year everyone will have at least one agent they talk to and offload work to.
It's going to bifurcate in two main ways. One is everyone's going to have at least one agent that they talk to, that they can offload work to.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Most knowledge work will move inside a coding-agent environment like Codex or Claude Co-work, which becomes the operating system for email, documents and everything else.
The second is that most of the work that you do is actually going to happen on your computer in an environment like Codex or Cloud Co-work that becomes the sort of operating system for it becomes the sort of operating system for how how you do all of your work, whether that's your email, the documents you create, like all that kind of stuff.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The workable model right now is one super agent for a whole company, not a personal agent for every person.
And I have completely flipped. And I I really think that uh the the model for now is going to be a super agent, like one agent for the entire company.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
An AI agent is only useful while a specific human cares about it; sever that personal connection and it stops being useful.
in order for an AI agent to be useful right now, it really needs a human who cares about it. It really needs it like a human personal connection with someone who's like watching what it does and make sure that it's doing the right thing and that it's useful for people.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The CLI era of AI agents was a short detour — we made GUIs for a reason, and the work is moving back into one.
And when you move into an actual UI for this, you start to realize um we made GUIs for a reason. And it's just nicer to be in a GUI.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Agents will increase the number of users of SaaS rather than get rid of it.
And I think that what agents do is increase the number of users of SAS. Not get rid of it.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
SaaS stocks are a buy right now.
So, this is another good prediction. I would buy SAS stocks right now.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
When the agent runs inside the user’s own surface the user pays for the tokens, not the vendor — which is what saves SaaS margins.
When I run the agent on that website, I'm using my tokens. I'm not using the the vendor's tokens. I'm not using the app's tokens.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Two agents are better than one: your agent can hand another agent far more context about you than you could ever type.
And I really do think that two agents are better than one. So, what's a good example? When I have Codex interact with another agent, it can give so much more context about me and what I want than I would be able to type.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Automation is a lie: every automated thing needs a human on top of it making sure it is working.
Automation is a lie. Um in the sense that every time you automate something, in order to make sure the automation is working well, you need a human on top of it like making sure that it's working well.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
GPT-5.5 is the only coding model with the agency to rip out old code and rewrite from first principles; the others patch around the edges.
GPT 5.5 is the only model though that has the sense of agency and confidence to just like rip out old code and just like actually rewrite from first principles.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
A year from now every coding model on the market will still take a bad instruction at face value and go fix the listed issues, where a human senior engineer would insist on a rewrite.
Here's a prediction. I'm pretty sure every coding model on the market will still do this in a year. Every coding model on the market will take that instruction seriously.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Benchmarks only rise on problems somebody has already framed and scored, so saturating them does not mean senior engineers have been replaced.
And so I think it's it's really important uh when when we think about benchmark progress to think about it from that perspective, which is benchmarks rise on problems that we've framed that we can articulate, that we can score. And there's a lot of work that's human work that uh it it can't be scored until you write it down
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The forward-deployed engineer is a real new job, and it exists because every agent needs a human.
And the thing that is becoming really clear is the whole forward deployed engineer concept I think is for real. And it comes out of every agent needs a human.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
A company will only go as far in AI as its CEO does, and it is not something a CEO can delegate.
My experience is that your company's only going to go as far as your CEO goes in AI and it's not something you can delegate.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
We will read far more AI-generated writing in documents and email, and we will like it.
I think that we will be reading way more AI generated writing in documents and emails and we will like it.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Product managers are the AI era’s big winners: coding models are now good enough to pair a lightly technical PM’s product sense with actually shipping.
But the coding models have gotten good enough that he can pair the kind of the technical knowledge he does have with his really spiky product sense and sense for writing and sense for users.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Designers have stopped handing work off — they open the pull request themselves, which changes how companies build.
And what you see when we work with them internally is now they're just like they're just making pull pull requests. Like they don't they don't need to hand it off as much. Sometimes they do but like a lot of times they just make pull requests and it's like the thing is built and that's it and I think that's incredible for the way that companies work
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The mass unemployment some AI CEOs describe is not going to happen.
But the like mass unemployment thing I think that like some AI CEOs are talking about like I think that's not going to happen.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Every new model makes yesterday’s human competence cheap and therefore commoditised; the human job is to take that frozen competence and make something new with it.
What models do in general is they make yesterday's human competence cheap. And so, it becomes commoditized. It's not valuable anymore. What humans do is we go in there and we're like, "Yeah, we have all this frozen human competence from yesterday. How do I use this like make something new and interesting?"
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The one thing you have to do to stay employable is ride the models — use each new one for whatever it is you actually do.
And I think that is actually super important. Um the only thing you need to do is ride the models. And that means use them for whatever it is that you do.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
The edge of AI is not San Francisco; it is wherever a model meets a real person doing something real.
I think people think of the edge of AI as being in San Francisco. And I actually don't think that that's where it is. I think the edge of AI is wherever AI meets like a real human doing something.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Codex, not Claude Code, is the right daily driver right now.
but I I think Codex right now is my daily driver. I like spend all all my time in it basically.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Cursor has chosen to be for programmers, and that choice may limit how far it gets as agent surfaces become general work environments.
And I think that Cursor has at least so far more distinctly chosen a lane. Like they're more distinctly choosing to be a for programmers. And that may limit how far they get in here.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
Beliefs others hold too
Automation is a lie: every automated thing needs a human on top of it making sure it is working. 2 hold this
Automation is a lie. Um in the sense that every time you automate something, in order to make sure the automation is working well, you need a human on top of it like making sure that it's working well.
AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper Said 24 May 2026
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Recommends rcmnd
rcmnd What they recommend 3 things — each backed by an exact quote.
Compiled by rcmnd.app, not by them: the quotes are theirs, and each links to the post it was copied from.
Recent
Recommends ChatGPT Custom Instructions
Using Custom Instructions properly can completely transform your experience with ChatGPT.
every.to 15 Sept 2023
Loved Superhuman
I’ve been a happy Superhuman subscriber since they were Silicon Valley’s hottest invite-only club, and I’ve been waiting for them to do something like this for a while.
every.to 30 Jun 2023
Loved GPT-3
GPT-3 is really just an incredible therapist, and is able to uncover complex patterns in my thinking and distill clean narratives that helps me a lot.
every.to 13 Jan 2023
Where they publish
x.com @danshipper His X account.
Recent
- generation is now cheap and high quality the big capabilities bump we need is now editing and oversight 16 Oct 2026
- at show and tell today @leeknowlton demoing how he turned my Codex piece into a visual novel: 16 Oct 2026
- Of course that’s your contention. You just got finished reading about polysemanticity, so naturally you think interpretability means untangling superposition. You’re gonna believe that until next semester, when you find a neuron that lights up for the Eiffel Tower. Then you’re gonna spend the summer explaining how we can align a superintelligence because we know when it’s thinking about France. And next year you’ll realize that knowing it recognizes the Eiffel Tower doesn’t tell you what the fuck it’s planning. 15 Oct 2026
Show 17 more
- Codex is one of the most important untold stories in the history of technology. A year ago, it was a scrappy effort in a quiet corner of @OpenAI. Its cloud product hadn’t found PMF, and the team was starting over from scratch. Less than 12 months later: - Codex swallowed the flagship ChatGPT desktop app from the inside (it literally runs as com.openai.codex on your Mac) - Codex and ChatGPT for Work hit 40M+ weekly users across engineering and knowledge work - Its leader @thsottiaux was elevated to run all of OpenAI’s core products, including ChatGPT, Codex, and the API How did they pull it of… 15 Oct 2026 every.to
- big big big big 15 Oct 2026
- okay @tryramp we're gonna have to fight 🥊 15 Oct 2026
- a big take I've been noodling on and I’m ready to call: the newsletter is dead @every's core business is a newsletter with 120k+ subscribers so I don't say this lightly. persistent agents mean i dont look at my inbox with dots (GrokBots, Muse, etc) I almost never look at my inbox. if I do it's for a specific thing I need to reply to. i think in a year I'll be doing all of my email this way - fully filtered by my dot / something like it. this is not new: it's a continuation of the trend of having a “newsletter” folder in Gmail, but 10x more filtered. what it means It doesn’t mean people won't… 15 Oct 2026 every.to
- there are wonders to behold in the @every slack right now 14 Oct 2026
- this is the future of communications at work if you're still sending a deck ngmi 14 Oct 2026
- serious oversight on this list 👀 14 Oct 2026
- we're dropping something heavy tomorrow @every it's the 8k word definitive history of Codex written from deep interviews with the team that did it including @gdb @thsottiaux @ajambrosino @embirico @mia_glaese @edbayes and more it'll also be agent-native so you and your agent can explore the full text of all the interviews in addition to reading the story :) 14 Oct 2026
- with new models from Google and Meta this week the frontier AI duoply is cracking: 14 Oct 2026
- gemini 4 argon really struggles on our senior engineer benchmark task comes in at 21% far below Sol 6 and even Muse: 13 Oct 2026
- VIBE CHECK: GEMINI 4—GOOGLE IS BACK 13 Oct 2026
- BREAKING: Gemini 4 is OUT and it's SURPRISINGLY GOOD?? I admit I was ready to trash this model qhen I saw the benchmarks but six of us at @every spent the past week testing it across coding, writing, design, and knowledge work, and were pleasantly surprsied. It’s a breakthrough if your company lives in Google’s ecosystem, and a strong option for frontier hoppers as a secondary model for certain tasks. I Here’s our vibe check: My new favorite writing partner. DeepMind hired professional writers with red pens to stamp out AI slop, and it worked. I use it to untangle structure and sharpen metaph… 13 Oct 2026 every.to
- kicked off wonder full runs on our senior eng bench 13 Oct 2026
- EXCITED TO ANNOUNCE: i finally got a win in our Augmented Fantasy League (read: play fantasy football with your agent) @beckyisj still undefeated, she's obviously using some unreleased super model to be this good 13 Oct 2026
- we (@ArielleShipper) made the ultimate set of skills for running an automated hiring pipeline in Codex available for on the @every github: 13 Oct 2026
- I used muse wonder to make a video explaining personal benchmarks.. this is ummm pretty rough interestingly all of its videos so far are narrated in an Australian accent. I'll leave interpretation to the reader 12 Oct 2026
- disappointing showing for Muse Wonder on our senior engineer benchmark. it asks the model to rewrite a vibe coded slop codebase from scratch—good measure of its usefulness for real-world engineering Muse Wonder gets 52%—far behind event GPT-Sol 6.1 at 71% 12 Oct 2026 checks.every.to
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LinkedIn linkedin.com/in/danshipper His LinkedIn profile.
Link verified 5 Sept 2026.
Podcast AI & I Hosts the AI & I podcast.
Link verified 25 Sept 2026.
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