Dan Shipper
Co-founder and chief executive of Every, the AI-focused writing and software studio behind Cora, Spiral and Proof.
Dan Shipper did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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product managementbehavioural science
Their wordsbut 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)youtube.com 1st of 11 in this recording
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Their wordsIt 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)youtube.com 2nd of 11 in this recording
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Our reading
A product organisation should run like a research lab, or at least add research-lab elements.
Their wordsMy 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)youtube.com 3rd of 11 in this recording
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Their wordsWhat 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)youtube.com 4th of 11 in this recording
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Their wordsOn 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)youtube.com 5th of 11 in this recording
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Their wordsI 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)youtube.com 6th of 11 in this recording
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Their wordsThe 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)youtube.com 7th of 11 in this recording
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Our reading
A lab should run many experiments in parallel, even competing approaches to the same problem.
Their wordsyou 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)youtube.com 8th of 11 in this recording
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Their wordswhat 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)youtube.com 9th of 11 in this recording
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Their wordsthe 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)youtube.com 10th of 11 in this recording
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Their wordsThe 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)youtube.com 11th of 11 in this recording
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Their wordsWhat 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 Shipperyoutube.com 1st of 24 in this recording
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Our reading
Within about a year everyone will have at least one agent they talk to and offload work to.
Their wordsIt'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 Shipperyoutube.com 2nd of 24 in this recording
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coding agentsAI and jobsAnthropic
Their wordsThe 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 Shipperyoutube.com 3rd of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 4th of 24 in this recording
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Their wordsin 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 Shipperyoutube.com 5th of 24 in this recording
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Their wordsbut 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 Shipperyoutube.com 6th of 24 in this recording
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Their wordsWhen 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 Shipperyoutube.com 7th of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 8th of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 9th of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 10th of 24 in this recording
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Our reading
Their wordsSo, 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 Shipperyoutube.com 11th of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 12th of 24 in this recording
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Our reading
Automation is a lie: every automated thing needs a human on top of it making sure it is working.
Their wordsAutomation 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 Shipperyoutube.com 13th of 24 in this recording
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Their wordsGPT 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 Shipperyoutube.com 14th of 24 in this recording
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Their wordsHere'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 Shipperyoutube.com 15th of 24 in this recording
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Their wordsAnd 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 Shipperyoutube.com 16th of 24 in this recording
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Our reading
The forward-deployed engineer is a real new job, and it exists because every agent needs a human.
Their wordsAnd 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 Shipperyoutube.com 17th of 24 in this recording
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Our reading
A company will only go as far in AI as its CEO does, and it is not something a CEO can delegate.
Their wordsMy 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 Shipperyoutube.com 18th of 24 in this recording
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Their wordsI 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 Shipperyoutube.com 19th of 24 in this recording