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134 afleveringen, van nieuw naar oud
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Can You Use AI To Make Good Art? — With Fred Graver
28 oktober 2026 · 51 min
Subscribe to Every (free for 14 days): https://every.to/youtube-every-offer
Can AI create good art?
Fred Graver thinks the answer depends on you. The Emmy Award–winning writer, producer, and founder of AI Writer’s Studio says AI can help with many parts of the creative process—but it can’t give you something to say. Without your own point of view, AI will only make your work more average.
On this week’s episode of The Every Podcast, Natalia Quintero sits down with Graver. They discuss why every writer should have a ‘who I am as a writer’ document, the cast of AI collaborators he’s built into his own writers’ room, and the human quirks that make characters endearing—the part he insists AI can’t supply.
Get Fred’s Skill: https://every.to/context-window/every-model-has-a-six-month-shelf-life-now
Links to resources mentioned in the episode:
• Follow Every: https://x.com/every
• Follow Natalia Quintero: https://x.com/NataliaZarina
• Follow Fred Graver: https://x.com/fredgraver
• AI Writers Studio: https://aiwritersstudio.substack.com/
• Compound Writing plugin: https://every.to/guides/compound-writing
• Compound Engineering plugin: https://every.to/guides/compound-engineering
• Thesis conference: https://every.to/thesis-2027
• Follow Katie Parrott: https://x.com/kplikethebird
• Follow Kieran Klaassen: https://x.com/kieranklaassen
• Follow Dan Shipper: https://x.com/danshipper
Timestamps:
0:00 Introduction
2:22 Fred’s path from National Lampoon and Letterman to Twitter and Microsoft
7:47 The “I want in” instinct behind every career pivot
12:19 How Best Week Ever taught Fred to build with the audience
13:26 Using AI as a virtual writers’ room, not a ghostwriter
16:07 Codifying industry expertise and studio culture into an AI core
20:32 The three phases of making entertainment with AI
26:27 Why you should brain-dump your idea before opening AI
38:47 Fred’s thesis: Success is knowing what the audience wants before it does
43:44 Fred’s day-to-day workflow across Claude, Chat… Lees meer -
How a Frontier Team Can Help Your Company Keep Up With AI
21 oktober 2026 · 43 min
Check out Gemini Audio: https://goo.gle/Every-Gemini-Audio
Every time a new AI model drops, companies face the same dilemma: Figure out what’s new and how to use it, or focus on getting work done.
Every solves this dilemma with a frontier team: a small group that tests new models and turns useful experiments into tools and workflows for the rest of the company.
On this week’s episode of The Every Podcast, Natalia Quintero sits down with all seven members of Every’s frontier team to ask what they’re building—from a tabless browser that helps protect your attention to a personal agent orchestrator called Minga—and what they want to try next.
Subscribe to Every (free for 14 days): https://every.to/youtube-every-offer?utm_source=podcast&utm_medium=audio&utm_campaign=companyagentepisode
Links to resources mentioned in the episode:
Follow Every: https://x.com/every
Compound Writing plugin: https://every.to/guides/compound-writing
Every’s vibe checks: https://every.to/vibe-check
Follow Dan Shipper: https://x.com/danshipper
Follow Natalia Quintero: https://x.com/NataliaZarina
Follow Mike Taylor: https://x.com/hammer_mt
Follow Jack Cheng: https://x.com/jackcheng
Follow Arielle Shipper: https://x.com/ArielleShipper
Follow Katie Parrott: https://x.com/kplikethebird
Follow Jannik Jung: https://x.com/JannikJung
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 Mike Taylor 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 Jack Cheng built a tabless browser
24:37 How resident writer Katie Parrott teaches her AI writing plugin who the reader is
30:51 Inside engineer Jannik Jung’s personal AI orchestrator
35:41 Compound engineer Kieran Klaassen uses AI to build power tools Lees meer -
How Hugging Face’s Investor Spots Winners
14 oktober 2026 · 51 min
Check out Gemini Audio: https://goo.gle/Every-Gemini-Audio
Bet on founders who understand the technology, because their first idea probably won’t be the one that sticks.
That’s the view of Matt Hartman, founder and managing partner of Factorial Capital. In 2016, as a partner at Betaworks, Hartman was part of the team that wrote the first check into Hugging Face, which was then a chatbot app for teenagers. Today it’s the largest hub for open-source AI, and Nvidia has agreed to buy it for about $13 billion.
On this week’s episode of The Every Podcast, Hartman tells Natalia Quintero how backing Hugging Face shaped his investment thesis, how Factorial grew into a “family tree” of technical founders who help him scout deals, and why vibe-coding his own app gave him a new respect for SaaS.
Subscribe to Every (free for 14 days): https://every.to/podcast-every-offer?utm_source=podcast&utm_medium=audio&utm_campaign=matthartmanepisode
Links to resources mentioned in the episode:
Factorial Capital: https://factorialcap.com
Ghost Pepper, Matt's open-source voice-to-text app: https://github.com/matthartman/ghost-pepper
Superpowers, Jesse Vincent's skill for Claude Code: https://github.com/obra/superpowers
Hugging Face: https://huggingface.co
Follow Every: https://x.com/every
Follow Natalia Quintero: https://x.com/NataliaZarina
Follow Matt Hartman: https://x.com/MattHartman
0:00 Introduction
5:06 How Hugging Face went from a teen chatbot to the home of open-source AI
9:52 The three decisions that set Hugging Face on its path
12:49 Hartman’s approach to finding the newly technically possible
18:10 Why Hartman backs technical founders
21:10 How Factorial’s portfolio founders source its next deals
27:09 Why faster iteration makes product insight the most valuable skill
34:28 What Hartman learned building Ghost Pepper, an open-source voice-to-text app
40:02 Hartman’s current theses, from non-language models to full-stack AI apps
44:14 Why the best founders right now are experimenting Lees meer -
Why Every Traded Personal Agents for One Company Agent
7 oktober 2026 · 34 min
Subscribe to Every (free for 14 days): every.to/podcast-every-offer?utm_source=podcast&utm_medium=audio&utm_campaign=companyagentepisode
On this week's episode of The Every Podcast, Dan Shipper sits down with Willie Williams, Every's head of platform and one of the driving forces behind the Every Agent, which launched this week. They discuss how Every went from everyone running their own OpenClaw to relying on one shared company agent—and where they think personal agents belong in everyday life.
Links to resources mentioned in the episode:
Willie Williams on X: https://x.com/bigwilliestyle
The Every Agent: https://every.to/agent?utm_source=podcast&utm_campaign=podcast&utm_content=1006companyagent
OpenClaw: https://openclaw.ai
Tend, Dan's open-source feed app: https://every.to/tend?utm_source=podcast&utm_campaign=podcast&utm_content=1006companyagent
Every’s Vibe Check on Dots: https://every.to/vibe-check/vibe-check-dots-always-on-agents-in-chatgpt?utm_source=podcast&utm_campaign=podcast&utm_content=1006companyagent
Dot from OpenAI: https://openai.com/index/introducing-dots/
0:00 Introduction
5:58 How OpenClaw spread through Every
11:13 Why everyone's personal agents eventually died
14:51 The difference between building for builders and building for operators
16:20 Why work will run on company agents while personal agents will stay personal
19:56 How engineering management has changed in the age of AI
21:43 Using an AI-powered feed to see everything happening across a product launch
23:53 Why Willie's token usage fell off a cliff
29:05 The benefit of having separate AI coaches for each part of your life
31:45 How Every is building its agent to surface information unprompted Lees meer -
How Sam Altman Uses Dots to Take Back His Time
30 september 2026 · 33 min
Sam Altman's Dot, OpenAI's new always-on agent, gave him back the most productive part of his day. Lees meer
The OpenAI CEO would lose his early mornings—his window of "maximum creativity"—to whatever fire needed putting out. Now, his Dot triages those issues and flags only what's truly urgent. It's also gotten him building again: In spare moments, he gives his Dot ideas for a feature, and his Dot builds five or six versions for him to review.
On the first episode of The Every Podcast (formerly AI & I), Dan Shipper interviews Altman at OpenAI's DevDay. They discuss how Altman uses his Dot to protect his time, why he only prompts on Ultrafast, and his belief that AI will spark a new Renaissance.
If you found this episode interesting, please like, subscribe, comment, and share!
Go to https://attio.com/every and get 15% off your first year.
To hear more from Dan Shipper:
• Subscribe to Every: https://every.to/subscribe
• Follow him on X: https://twitter.com/danshipper
Chapters:
00:00:00 Introduction
00:00:55 Why AI hasn’t replaced developers
00:04:45 OpenAI’s platform bet on the rise of small-team companies
00:05:45 Why the AI era is more “Renaissance” than “Industrial Revolution”
00:07:40 How Sam’s Dot, OpenAI’s always-on AI agent, gave him back his mornings
00:12:00 Sam’s process for building new features with his Dot
00:16:00 Inside OpenAI’s “live documents” that agents and humans can build together
00:20:55 What bring-your-own-subscription changes for app developers
00:24:00 Why “OpenAI just killed X startup” never comes true
00:27:55 Sam’s life on Ultrafast and the push to make speed as cheap as intelligence
Links to resources mentioned in the episode:
• Sam Altman on X: https://x.com/sama
• Codex: https://openai.com/codex
• Space: https://help.openai.com/en/articles/20001549-getting-started-with-space-in-chatgpt
• Every's Vibe Check on Dots: https://every.to/vibe-check/vibe-check-dots-always-on-agents-in-chatgpt?utm_source=podcast
• Every's Vibe Ch…
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How a Professional Writer Writes With AI
2 september 2026 · 48 min
Two years ago, Katie Parrott was laid off from a crypto firm and couldn’t afford a career coach—so she turned to a $20-a-month ChatGPT subscription instead.
The Every staff writer’s habit of feeding AI good context eventually became compound writing, a codified system for brainstorming, drafting, and editing with AI. Today, that system is a plugin any writer can use.
On this week’s AI & I, Natalia Quintero talks with Katie about turning good ingredients into good writing, borrowing the taste of writers she admires, and why AI helped her fall back in love with the page.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Natalia Quintero:
Subscribe to Every: https://every.to/subscribe
Follow her on X: @NataliaZarina
Go to https://attio.com/every and get 15% off your first year.
Timestamps:
0:00 Start
0:49 Introduction
1:21 How Katie went from being laid off to using ChatGPT as a career coach
8:06 Turning AI into a “content agency of one”
10:59 Building the context files and style guides that make AI outputs useful
14:15 What makes a Claude project actually work
21:18 How AI helped with a mental health crisis and “computer errands”
27:03 Katie’s career coach, now a fully autonomous Codex project
32:27 What compounding means, and building the Compound Writing plugin
38:00 Borrowing Vonnegut, Hitchcock, and Sorkin as AI editing skills
44:49 Katie’s thesis: education and access will matter more than ever
Links to resources mentioned in the episode:
Katie Parrott on X: @kplikethebird
Compound writing plugin: https://github.com/EveryInc/compound-writing
Compound engineering plugin (Kieran Klassen): github.com/EveryInc/compound-engineering-plugin
Parrott’s companion piece on compound writing: https://every.to/guides/compound-writing
Parrott, “I Hired ChatGPT as My Career Coach”: every.to/working-overtime/i-hired-chatgpt-as-my-career-coach
Parrott, “AI Turned Me Into a Content Agency of One”: every.to/working-overtime/ai-tur… Lees meer -
A $10B Hedge Fund’s AI Playbook (Best of the Pod)
26 augustus 2026 · 1 uur 7 min
Will England is the CEO of Walleye Capital, a hedge fund managing nearly $10 billion in assets. An engineer by training with a math background from Oxford, he has spent his career at the intersection of machines and markets—and has made AI fluency mandatory for all 400 employees.
England believes refusing to use AI is like refusing to use the internet in 1995 because it wasn’t perfect. His use of AI is public and effusive, including in a firm-wide email that opened with “I used ChatGPT to write this email. You should be using it, too, and be proud of it.” AI informs how Walleye drafts memos and selects stocks.
On Every’s AI & I, Dan Shipper spoke with England about why he’s betting his entire organization on AI, why “results are what matter” more than blood, sweat, and tears, and what the American frontier can teach us about leading through technological change.
Like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow Dan Shipper on X: https://twitter.com/danshipper
Go to https://attio.com/every and get 15% off your first year.
Timestamps:
0:00 Start
0:51 Introduction
3:25 What pushed Will to go all in on AI
15:15 Inside the ‘AI-first’ memo Will shared at Walleye
17:02 Why you shouldn’t be afraid of using AI for work
31:25 How Will uses LLMs to sharpen his thinking
35:57 Walleye’s approach to using AI to reduce risk
39:35 What history can teach us about leading through change
57:10 Will’s first principles for making better decisions
59:23 Why Will journals every day—and how AI makes it easier
Links to resources mentioned in the episode:
Will England/Walleye Capital: https://walleyecapital.com/bio/will-england
Every’s AI tools—Monologue, Cora, Spiral, and Sparkle: https://every.to/studio
Every’s AI consulting: https://every.to/consulting Lees meer -
The AI Alien Companion App That's Bringing In $4M a Year (Best of the Pod)
19 augustus 2026 · 1 uur 22 min
LLMs are a new medium for storytelling.
That’s according to the creators of Portola, the company behind Tolan: an embodied AI companion that lives on its own planet and chats to you with a distinct personality. In 2025, Portola's founder and CEO Quinten Farmer and Head of Story Eliot Peper joined Dan Shipper to explain how they’re building this new medium from scratch. Their aim is to help users go from overwhelmed to grounded through conversations with Tolan that feel personal and spontaneous, not scripted.
On this week’s AI & I, Dan revisits his conversation with Quinten and Eliot. They discuss why response time is everything for voice-based AI interfaces, how Portola designs AI personalities users will click with, and why character-driven AI could become a new computing interface.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Go to https://attio.com/every and get 15% off your first year.
Timestamps:
00:01:30 - Introduction
00:04:07 - Talking to the Portola CEO's Tolan, Clarence
00:09:11 - How Portola went from building software for kids to AI companions
00:23:40 - Why response time is everything for voice-based AI interfaces
00:29:54 - Tolans don't use scripted prompts—they're taught to improvise
00:37:23 - How to know which AI personalities your users will click with
00:42:27 - Developing the character traits of an AI companion
00:49:48 - What does it mean to build technology that makes us flourish
01:01:10 - How Portola evaluates whether Tolans are resonating with users
01:11:01 - Inside Portola's viral growth strategy Lees meer -
Microsoft’s Vision for an Internet Made for Agents With CTO Kevin Scott (Best of the Pod)
12 augustus 2026 · 28 min
In 2025, Kevin Scott bet that the agentic web would be the next big thing in AI.
The Microsoft CTO argued that for agents to be genuinely useful, they'd need to be able to take action on our behalf—which would mean giving them access to the same sprawl of tools, data, and systems that make up the internet. Today, that bet is starting to pay off, as the foundational infrastructure for the agentic web is now being built.
On this week's AI & I, Dan Shipper revisits his conversation with Kevin. They discuss Microsoft's role in the agentic web, why openness doesn't have to come at the expense of security, and why programmers should stay curious about new tools rather than resist them on principle.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Go to https://attio.com/every and get 15% off your first year.
Timestamps:
0:00 Start
1:44 Introduction
2:49 The race to close the "capability overhang"
4:31 How agents will evolve into practical, useful tools
6:48 The role Kevin sees Microsoft playing in the agent ecosystem
12:05 How robust security measures can coexist with open ecosystems
15:39 Kevin's philosophy on being a craftsman in the age of agents
20:52 How the landscape of software development agents will evolve
25:33 The future of agentic workflows
Links to resources mentioned in the episode:
Kevin Scott on X: https://twitter.com/kevin_scott
Model Context Protocol (MCP): https://modelcontextprotocol.io
NLWeb: https://github.com/microsoft/NLWeb
GitHub Copilot: https://github.com/features/copilot Lees meer -
Why the Next Hit AI Product Will Be Social Why the Next Hit AI Product Will Be Social (Best of the Pod)
5 augustus 2026 · 49 min
Most consumer AI so far has been single-player: you and a chatbot, alone.
Benchmark partner Sarah Tavel, one of Pinterest's first 30 employees, is betting that's about to change. She's looking for a product genius who can build an AI product with social DNA: status, network effects, and multiplayer dynamics. That'll enable users of ChatGPT and other models to learn from how others use AI and level up.
On this week’s AI & I, Dan Shipper revisits his conversation with Sarah. They talk about why technical founders dominate the early days of a platform shift while product-minded founders win later, what ChatGPT is still missing, and what separates a founder's real network effect from a slide with a flywheel diagram.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps for YouTube:
0:00 Start
1:10 Introduction
2:26 Why the future of consumer AI belongs to founders with product intuition
11:09 What Sarah sees as ChatGPT's biggest weakness
18:45 How Sarah would design a consumer AI app with social DNA
24:10 The kind of founders Sarah invests in
28:33 How to know if your startup's network effects are real
35:40 What's catching Sarah's eye beyond AI
40:41 How AI will change the way top venture capitalists invest
Links to resources mentioned in the episode:
Sarah Tavel on X: https://x.com/sarahtavel
Benchmark: https://benchmark.com
Agentio (marketplace for YouTube creators and brands): https://agentio.com/
Chainalysis: https://chainalysis.com
The Five Temptations of a CEO by Patrick Lencioni: https://www.amazon.com/dp/B007BZBRB8
Thinking in Bets by Annie Duke: https://www.amazon.com/dp/B0HBBW23PM Lees meer -
Best of the Pod: Wired's Kevin Kelly on Why AI Is a 50-year Overnight Success
29 juli 2026 · 54 min
Kevin Kelly has spent over 30 years experiencing the edge of new technology: from the earliest days of the internet to the first years of Burning Man. But he’s always treated the frontier as a place to visit, not somewhere to live. It’s partially how he’s been able to stay grounded through tech’s various hype cycles.
As founding executive editor of Wired and author of The Inevitable, Kelly spends as much time analyzing the latest in AI as he does reading about significant moments in history. It’s a discipline he traces back to his work with the Long Now Foundation, which he cofounded to encourage long-term thinking, reaching from the last 10,000 years to the next.
On this week’s AI & I, Dan Shipper revisits his conversation with Kelly. They get into why historians can be the best futurists, and how our bid to understand what intelligence is has parallels with early scientists' attempts to figure out electricity.
Kelly also describes the joy he found in creating an AI-generated saga featuring Leonardo Da Vinci, Christopher Columbus, and Martin Luther—one that will only ever be read and enjoyed by him.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps for YouTube:
0:00 Start
0:50 Introduction
1:10 Why Dan and Kelly love Annie Dillard
12:52 How to predict the future like Kelly
16:10 What the history of electricity can teach us about AI
20:13 How Kelly thinks about the nature of intelligence
25:44 Kelly's advice on discovering your competitive advantage
29:33 How Kelly assembled a bench of star writers for Wired
34:43 How Kelly used ChatGPT to co-create a book
39:12 Using AI as a mirror for your mind
43:43 What Kelly learned from betting on VR in the 1980s
Links to resources mentioned in the episode:
Kevin Kelly on X: https://twitter.com/kevin2kelly
The Inevitable by Kevin Kelly: https://www.amazon.com… Lees meer -
How Every's Team Used AI to Ship Its Biggest Launch Ever
22 juli 2026 · 46 min
Yash Poojary, a growth engineer at Every, dropped an idea for a campaign in Slack at 7 p.m. Instead of building it himself, Every’s head of growth Austin Tedesco took a screenshot of the Slack thread, dropped it into Codex, typed "Can you do this?", and went to the gym.
By the time he got back, Codex had built four audience segments, drafted emails for each one, and pulled a social image that had worked before. It took Austin 10 minutes to make some tweaks and schedule the whole thing to send the next morning. Within a few hours, it generated more than $25,000 in revenue.
That story came out of the launch week for All Access, Every’s new $625-a-year membership built around the Builder Pack. It includes $7,000 in credits and free usage from ten of the AI products Every uses every day, including Claude Max, Codex, Cursor Pro+, PostHog, Notion, Framer, Render, and Flora.
On this episode of AI & I, four of Every's own builders—COO Brandon Gell, head of marketing Douglas Brundage, as well as Yash and Austin—sit down to show how they use AI, breaking down their personal stacks and giving insight into their own strategies and mindset for building.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps for YouTube:
0:00 Intro
0:35 All Access Explained
3:01 Yash's Tech Stack and How He's Automating Testing Pipelines
8:02 The Idea to Execution Loop
10:25 How an Agent Turned an Idea into $25K
17:50 The AI Sandwich Workflow
22:03 Making AI Tools Accessible to Solo Builders
28:50 Douglas on Brand and Design
34:51 Tips on What to Build First
43:46 What's Next for All Access
Links to resources mentioned in the episode:
Brandon Gell on X: https://x.com/bran_don_gell
Yash Poojary on X: https://x.com/poojary_yash
Austin Tedesco on X: https://x.com/tedescau?lang=en
Douglas Brundage on X: https://x.com/DABrundage
Introduci… Lees meer -
The Founder of a $1.5B AI Company on What Comes After the First Wave of AI Apps
15 juli 2026 · 1 uur
“Running a startup is a knife fight whether things are going well or not,” says Chris Pedregal, cofounder and CEO of Granola. Granola recently raised a $125 million series C round at a $1.5 billion valuation on the strength of its AI meeting notetaker.
That valuation hasn’t made Pedregal complacent. Granola built its name as the first to make good AI meeting notes, but Notion, OpenAI, and Zoom have all since released their own versions. Pedregal isn’t rattled—he never thought meeting notes were the real prize. The bigger fight, he says, is over “what interface we use for work, and what work looks like in an AI-native world.”
That’s why Granola is betting on owning the entire meeting workflow: preparing people for a call, helping them act on it afterward, and making that context available to whatever agent—Claude, Codex, or anything else—people bring to the table. Over the next few months, the company plans to push hard on its API and MCP to make that possible.
Dan Shipper talked with Pedregal for AI & I about why Granola pre-generates millions of meeting briefs, most of which go unopened, what “bring your own agent” software could look like, and why Pedregal still thinks “easy come, easy go” about Granola’s own success.
If you found this episode interesting, please like, subscribe, comment, and share.
More from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:59 Introduction
00:01:57 Why starting a company feels like a knife fight
00:04:33 Granola's counterintuitive view on competition
00:10:44 Dan's "pirate and architect" framework for structuring early-stage product teams
00:13:09 How Granola's "shaping" and "validation" phases work for building new features
00:18:17 Why Dan lives almost entirely inside Codex
00:24:40 The case for "Codex-native apps"
00:35:37 Granola's "handrail" philosophy
00:38:12 Why Granola is betting on owning meeting-adjacent context instead of competing as a gener… Lees meer -
How a Writer Uses AI Without Losing His Voice
8 juli 2026 · 53 min
Craig Mod used to pay Campaign Monitor roughly $7,000 a year to send his newsletters. After rebuilding the tool himself with AI, his bill is closer to $150. It’s the kind of thing that convinces him we’re about to enter a “golden age of tool building”—one where anyone can build tools specifically suited to their needs, instead of settling for software from incumbents that are slow to innovate.
Mod is the writer and photographer behind the newsletters Roden and Ridgeline and books like Things Become Other Things and Kissa by Kissa—as well as a lifelong technologist. He’s rebuilt the tax software Quicken, created a private alternative for Twitter for his members which he calls The Good Place, and used AI to build an archive for his pop-up newsletters. But while Mod is an advocate of using AI to build, he draws the line at using it to write.
Mod talks to Dan Shipper about using AI as a research assistant, why he keeps a tech-free zone in the mornings for deep thinking, and why he’s resisting the pull of the “mainlining” AI era.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
0:00 Introduction
3:51 Rebuilding Quicken and Campaign Monitor with AI
6:24 Building The Good Place, a private Twitter alternative for Craig’s members
10:39 Why we’re entering a “golden age of tool building”
12:17 Why AI could help writers build audiences
17:35 Using AI to build a newsletter archive and a searchable board-meeting Q&A library
27:58 Creating a technology-free buffer to protect deep thinking
30:31 Why Craig is resisting the temptation to “mainline” AI for ten hours a day
39:44 Why anthropomorphizing AI is “psychotic,” and why Apple got Siri right
47:42 Being adopted, and making peace with humanity’s fragile place in an AI future
Go to https://attio.com/every and get 15% off your first year.
Links to resources ment… Lees meer -
The AI Workflows Behind Every's Consulting Team
1 juli 2026 · 41 min
Natalia Quintero joined Every as head of consulting with a mandate to bring AI into the workflows of executives at hedge funds, private equity firms, and tech companies. She is also a recent Codex convert—someone who spent months resisting the tool before Dan Shipper’s daily pestering finally got her to try it.
Natalia encountered Codex as a non-technical builder who had learned to navigate file systems and folder structures in Claude Code through sheer effort. She’s now used Codex to do everything from automate her CRM setup to build a portal to manage her father’s medical care.
Dan talked with Natalia for AI & I about what it looks like to go from non-technical to building software with Codex, why Every still uses software-as-a-service products from Attio and Asana instead of vibe coding their own tools, and where she thinks AI agents like Every’s internal Claudie employee require human managers.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:01:05 Introduction
00:02:35 How Natalia manages Claudie, the consulting team's AI project manager
00:04:55 Why the consulting team still pays for SaaS products
00:11:47 Codex as a game changer
00:14:55 Building personalized learning guides and illustrated explainers with AI
00:21:40 Inside Natalia's AI-powered email triage system
00:26:44 The shift from knowledge work as sculpting to knowledge work as gardening
00:28:57 Using Codex to one-shot a custom CRM
00:33:16 Using Codex to build an app that coordinates her father's medical care
Links to resources mentioned in the episode:
Natalia Quintero on X: https://x.com/NataliaZarina
Asana (project management): https://asana.com
Every Consulting: https://every.to/consulting
Go to attio.com/every and get 15% off your first year. Lees meer -
Building a School Where AI Models Learn About Humanity
24 juni 2026 · 44 min
If scaling laws hold—and Surge AI CEO Edwin Chen believes they do—we’re hurtling toward a future where there’s nothing humans can do that AI can’t do better. When OpenAI’s models disproved an open conjecture posed by mathematician Paul Erdős using novel algebraic geometry techniques, Fields medalist Timothy Gowers felt the shift acutely. He initially thought the model had proved an upper bound, and braced himself: that would mean it was “all over for mathematicians very soon.” When he realized it had only found a counterexample, he was relieved—it bought him another year or two before the thing he’s devoted his life to becomes something AI does better.
As founder and CEO of the company behind the data environments and evals the major model companies use to train their models, Chen has a unique perspective on how quickly AI models are absorbing tasks we used to think of as uniquely human.
Dan Shipper talked with Chen for AI & I about what the act of creating or building means when AI can do it better—and whether an answer to that question already exists within science fiction.
If you found this episode interesting, please like, subscribe, comment, and share!
Join the membership for Where You Live at https://www.joinbilt.com/dan
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:54 Introduction
00:01:49 Surge as a "school for AGI"
00:04:46 What AI's capacity for novel mathematics says about human achievement
00:07:29 Motivation in an era when AI can do everything
00:14:34 The trap of optimizing AI models for engagement
00:29:34 Training using datasets versus training using environments
00:35:09 The value of personal data
00:39:40 Why models are bad at writing
00:42:00 Chen's AGI timeline
Links to resources mentioned in the episode:
Edwin Chen on X: https://x.com/echen
Surge: https://surgehq.ai
Riemann-bench (research-level math benchmark): https://surgehq.ai/leaderboards/rie… Lees meer -
GitHub’s COO Explains Why AI Hasn’t Replaced Developers
17 juni 2026 · 28 min
Last year, there were 1 billion commits on GitHub. This year, Kyle Daigle expects that number to exceed 14 billion, a two-component explosion caused by more humans—and their agents—issuing pull requests. In March alone, 17 million pull requests on GitHub were created by agents.
Daigle is the COO of GitHub and Microsoft’s chief marketing officer for developer products. He’s been at GitHub for 13 years, and is paying close attention to how AI is expanding the platform’s user base. Along with agents, legal, sales, and marketing professionals are building apps with the GitHub Copilot app. The line between developer and non-developer is disappearing.
On this episode of AI & I, guest host Mike Taylor sat down with Daigle at Microsoft Build to discuss how GitHub is building infrastructure for an agent-native world: agentic code review, model routers that automatically select the right model for the task, and a philosophy that the most durable advantage in this market is developer choice.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
To hear more from Mike Taylor:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://x.com/hammer_mt
Timestamps for YouTube:
00:00:52: Introduction
00:03:27: The agentic PR flood
00:04:33: GitHub's approach to helping open-source maintainers manage the surge
00:06:15: What 14 billion commits means for code quality
00:08:03: Moving from per-seat licensing to usage-based pricing
00:09:45: Kyle's dual role as GitHub COO and Microsoft's chief marketing officer for developers
00:13:03: Developer choice as competitive moat
00:14:57: How to balance dogfooding your own tools with staying honest about the competition
00:19:45: Hill climbing, frontier tuning, and solving the model-routing problem
00:24:45: Kyle's agentic communication hack
Links to resources mentioned in the episode:
Kyle Daigle on X: https://x.com/kdaigle
Mike Taylor on Every: https://every.to/@mike_2114
Mike’s piec… Lees meer -
How Anthropic Uses Claude Fable 5 With Mike Krieger
10 juni 2026 · 52 min
Mike Krieger built one of the most consequential consumer apps of the last two decades as the cofounder of Instagram. He is now at the frontier of AI-native product development as head of Anthropic Labs, the team responsible for figuring out what the most capable AI models can do in the hands of real builders.
When Krieger first got access to Fable 5 months before its public release, it was exciting and disorienting. “I feel like a total newbie again,” he remembers telling his team. The way he’d been thinking about productivity, strategy, and time management was out of date. The model had outpaced his workflows.
Dan Shipper talked with Krieger for AI & I about what it looks like to build with a model as capable as Fable 5, including the new rhythms, challenges, and possibilities it reveals.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Get started with Braintrust at https://www.braintrust.dev/
Timestamps:
0:03 Introduction
1:48 How Fable completely reshaped Mike's workflow
4:48 When to use Sonnet versus Fable
10:06 What the media tracker Mike built over a weekend reveals about agent-native architecture
15:00 The cost to build has collapsed
19:03 Is software engineering over?
21:48 How Anthropic's engineering teams work today
38:39 The mechanics of verification
44:39 What people should use the model to build
47:24 Dynamic workflows
Links to resources mentioned in the episode:
Mike Krieger on X: https://x.com/mikeyk
Anthropic Labs: https://www.anthropic.com
Claude Code: https://claude.ai/code
Every: https://every.to Lees meer -
The SaaS Apocalypse Is a Goldmine With Figma’s Matt Colyer
3 juni 2026 · 34 min
The "SaaSpocalypse"—the panic that AI will make software-as-a-service obsolete—hasn't rattled Figma’s Matt Colyer. As the company’s director of product management for developers, he's been building his own agents for two years and is buying more software services than ever.
In addition to making the case that AI is a “goldmine” for SaaS companies, Colyer talked with Dan Shipper for AI & I about why great design requires a diamond-shaped process: First you diverge, generating as many ideas as possible, then you converge around the best ones. Chat is linear, which makes it good for iterating on one design but bad at generating lots of options. Figma's new on-canvas agent is a first attempt at fixing that.
They also get into why AI design tools need to break free of the text box, how Figma's MCP server is closing the loop between code and design, and why "review" has become the biggest bottleneck in AI-assisted product work.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
1:03 - Introduction
2:15 - Why the SaaSpocalypse narrative has it backwards
5:27 - Matt’s email agent origin story
13:21 - Divergent vs. convergent design thinking
17:39 - Figma’s MCP server
19:45 - Why design agents need personalization
22:09 - Every problem is a context problem
25:12 - Apple and Google as the reigning kings of context
28:18 - Why review is the new bottleneck
Links to resources mentioned in the episode:
Matt Colyer on X: https://x.com/mcolyer
Figma: https://figma.com
Figma MCP server: https://www.figma.com/blog/introducing-figma-mcp-server/ Lees meer -
We Automated Everything With AI and Tripled Our Headcount
27 mei 2026 · 41 min
Dan Shipper runs one of the most AI-native companies today. Every has agents embedded in nearly every workflow—“if you swing a stick in our Slack, you're as likely to hit a human as an agent,” he says. And yet the company has grown from four people to 30 since GPT-3 came out, and is still hiring.
Why does Dan believe there's more human work to do than ever?
In a format flip for AI & I, Every's COO Brandon Gell turns the tables and interviews Dan about his latest essay, “After Automation”—an 8,000-word argument for why rising automation doesn't eliminate demand for human work, it increases it. The thesis: AI makes yesterday's expert competence cheap and widely available, which floods every field with output that's close but not quite right—and that creates more demand for the humans who can take it the rest of the way.
Dan talked with Brandon about the paradox at the heart of agent-native work: The more AI can do, the more humans are needed to direct it, refine its output, and decide what matters next.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Links to resources mentioned in the episode:
“After Automation” by Dan Shipper: https://every.to/chain-of-thought/after-automation
Brandon Gell on Every: https://every.to/@brandon_5263
Join the membership for where you live at joinbilt.com/dan
Timestamps:
00:00:51 Introduction
00:05:51 The AI paradox: more automation, more human work
00:10:00 How AI makes yesterday's expert competence cheap
00:18:00 AI can act autonomously but it does not have agency
00:20:39 Why Dan is all in on AGI
00:21:57 AI layoffs are a lie
00:25:42 Ride the models and you'll be fine
00:35:30 How to use AI as a long-form features editor Lees meer -
Inside Stainless: The Developer Tools Startup Anthropic Just Bought for $300 Million
20 mei 2026 · 51 min
If your MCP server has dozens of tools, it's probably built wrong. You need tools that are specific and clear for each use case—but you also can't have too many. This creates an almost impossible tradeoff that most companies don't know how to solve.
That's why we interviewed Alex Rattray, the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. We get into MCP and the future of the AI-native internet.
[Disclosure: Dan is a small investor in Stainless.]
If you found this episode interesting, please like, subscribe, comment, and share.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Get started with Braintrust at https://www.braintrust.dev/
Timestamps:
00:01:15 - Introduction
00:05:09 - APIs and MCP, the connectors of the new internet
00:11:00 - Why MCP exists
00:17:15 - Why MCP servers are hard to get right
00:20:24 - Design principles for reliable MCP servers
00:25:06 - Using MCP for business ops at Stainless
00:40:57 - Alex's take on the security model for MCP
00:44:42 - How one-off AI actions become permanent production software
Links to resources mentioned in the episode:
Alex Rattray: Alex Rattray (@RattrayAlex), Alex Rattray
Stainless: https://www.stainless.com/Inside Stainless: The Developer Tools Startup Anthropic Just Bought for $300 Million Lees meer -
Claude Code Can Be Your Second Brain
13 mei 2026 · 1 uur 10 min
From time to time, we will republish episodes that you might have missed. This episode originally aired in September 2025.
Noah Brier uses Claude Code as his second brain—it’s the coolest notetaking setup we’ve ever seen.
He has Claude running on a server in his basement hooked up to a VPN. It stores, reads, and writes to thousands of notes in his Obsidian vault. He does it all from his phone.
We had him on the show to tell us exactly how he’s pulling this off.
Dan and Noah get into:
The nuts and bolts of the Claude Code-Obsidian setup: Noah set up Claude Code on top of his Obsidian root directory, and he walked me through how he uses it to prep for an upcoming speech—creating a project folder, pulling in relevant research from his notes, saving transcripts from chats with other LLMs, and generating daily progress updates.
The “thinking partner” that lives inside Noah’s second brain: Noah points out that in the hype around AI’s ability to write, the fact that it can read is overlooked. That’s why he has an agent inside Claude Code with strict guardrails to stay in “thinking mode.” It logs his questions, tracks insights, and catches him up on research if he returns to a project after a few days away.
How Noah does deep work on his phone: Noah rigged a home server in his basement, put his Obsidian vault in it—and then runs Claude Code on top. Noah says that being able to think, write, research, and ship code from his phone has fundamentally changed the way he works.
This episode is a must-watch for anyone curious about who wants to learn how to use Claude Code to build a true second brain.
If you found this episode interesting, please like, subscribe, comment, and share!
Timestamps:
00:00:52 - Introduction
00:02:10 - How you can do deep work on your phone
00:05:30 - Why Noah thinks Grok has the best voice AI
00:11:11 - The nuts and bolts of Noah's Claude Code-Obsidian setup
00:26:05 - Using an agent in Claude Code as a "thinking partner"
00:30:23 - Noah's Thomas' Eng… Lees meer -
The Secrets of Claude's Platform From the Team Who Built It
8 mei 2026 · 43 min
In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget.
That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7.
On this week’s AI & I from @every, I talk with Angela Jiang (@angjiang), head of product for the Claude platform, and Katelyn Lesse (@katelyn_lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:01:48 - How the Claude platform evolved from API to agents
00:04:09 - The primitives that make up Claude Managed Agents
00:10:37 - Why the harness and the model are becoming a single unit
00:18:49 - The infrastructure wall that kills most agent projects in production
00:24:49 - Why team agents need a different shape than individual productivity tools
00:26:36 - How Anthropic's legal team uses an agent to review marketing copy
00:34:24 - Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms
00:35:50 - How to measure agent success with outcome and budget as the end state
00:39:11 - What the platform looks like a year from now, when Claude writes its own harness Lees meer -
Why We Switched From Claude Code to Codex
6 mei 2026 · 58 min
In January, Dan Shipper wrote that whoever wins vibe coding wins how you work on your computer—and OpenAI had some serious catching up to do.
Three months and the release of GPT-5.5 later, Codex has more than caught up. Austin Tedesco, Every's head of growth, now spends about 80 percent of his working time inside the Codex desktop app, doing everything from drafting go-to-market plans from a stack of meeting transcripts to rebuilding the company's KPI dashboard.
On this episode of AI & I, Dan sat down with Austin to discuss why the agent management interface—a desktop app built on top of a coding agent—is becoming the new operating system for knowledge work, and why Codex has become his daily driver.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: every.to/subscribe
Follow him on X: twitter.com/danshipper
Join the membership for Where You Live at joinbilt.com/dan
Timestamps for YouTube:
00:00:00 Introduction
00:00:57 How Codex went from a tool for senior engineers to a daily driver for knowledge work
00:02:42 How Claude Code proved that a great coding agent works for any knowledge work
00:07:24 Austin's switch to Codex
00:13:48 How Austin set up Codex with folders, keys, and reviewer agents
00:18:24 Using Codex to brainstorm automations across Gmail, Slack, and Notion
00:22:42 How Austin manages the human review step when Codex is drafting communications
00:28:54 Using Codex to build specialized agents inspired by product executive Claire Vo
00:31:09 Synthesizing meeting transcripts and Slack threads into a go-to-market plan
00:40:15 Building a live KPI tracker in Notion that agents can read
00:44:54 Using Codex for recruiting
Links to resources mentioned in the episode:
Austin on X: @tedescau
Dan's January essay on OpenAI's catch-up problem: every.to/chain-of-thought/openai-has-some-catching-up-to-do
Every's vibe check on GPT-5.5: every.to/vibe-check/gpt-5-5 Lees meer -
How Stripe Is Building for an Agent-native World
29 april 2026 · 54 min
Emily Glassberg Sands leads data and AI at Stripe, which processes roughly 2% of global GDP, giving her a bird’s-eye view into how AI is upending the internet economy.
Dan Shipper talked with Glassberg Sands for Every's AI & I about what the data on Stripe's network actually shows: AI companies are scaling three times faster than the top SaaS cohort of 2018, fraud has moved from the checkout to the full funnel, and agents have started buying things, although mostly low-stakes commodities like Halloween costumes.
The conversation covers the new fraud types unique to AI companies, the AI-on-AI arms race between bad actors and fraud detectors, where AI revenue growth is actually coming from, and how Stripe is rebuilding the payments infrastructure for a world where the buyer is an agent.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Head to http://granola.ai/every and get 3 months free with the code EVERY
Timestamps
00:00:45 Introduction
00:01:27 New rules for an agent-driven economy
00:03:57 Compute theft is the new payment fraud
00:10:00 How Stripe expanded fraud detection from checkout to the full customer lifecycle
00:19:48 Why AI companies are scaling way faster than top SaaS companies
00:23:27 Outcome-based billing is replacing seat-based pricing
00:29:57 Where AI spending is coming from
00:36:45 How the developer experience changes when agents are the builders
00:41:00 The agentic commerce spectrum, from assisted buying to autonomous purchasing
00:51:06 Meet Link, a consumer wallet for delegated agent purchases
Links to resources mentioned in the episode:
Emily Glassberg Sands on X: https://x.com/emilygsands
Stripe: https://stripe.com
Stripe Radar: https://stripe.com/radar
Stripe Link: https://link.com
Lovable: https://lovable.dev Lees meer -
The AI Sandwich: Where Humans Excel in an AI World
22 april 2026 · 29 min
Most frameworks for working with AI agents assume humans should stay in the loop at every phase. That’s the wrong approach, says Cora general manager Kieran Klaassen.
Kieran is the creator of Every's AI-native engineering methodology, compound engineering. His four-step framework—plan, work, review, compound—rebuilds how engineers work with agents. The insight, worked out with collaborator Trevin Chow, is about when to be in the loop and when to step away and let the model handle it. "LLMs are very good at just following steps, doing deep work, working for hours—days even now," Kieran says. "That thing is kind of solved."
Kieran and Trevin describe an AI workflow as a sandwich. Agents are the workhorse filling, and humans are the bread, responsible for framing the problem at the start and reviewing the outputs at the end.
Every CEO Dan Shipper talked with Kieran for AI & I about why setting the frame of a problem is still hard for agents, why simulated personas won't replace human judgment, Dan's bar for AGI—an agent worth running 24/7 with no off switch—and what Kieran's background as a classical composer taught him about performance, polish, and finding the parts of work that bring you joy.
If you found this episode interesting, please like, subscribe, comment, and share!
Head to http://granola.ai/every and get 3 months free with the code EVERY
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Discover more resources in the episode
Compound engineering plugin: https://github.com/EveryInc/compound-engineering-plugin
Compound engineering guide: https://every.to/source-code/compound-engineering-the-definitive-guide
Compound engineering camp: https://every.to/source-code/compound-engineering-camp-every-step-from-scratch
Timestamps:
00:00:00 – Introduction and the AI sandwich metaphor
00:02:33 – What compound engineering is and how it’s evolved
00:04:27 – The "work" phase of agentic coding is … Lees meer -
The AI Model Built for What LLMs Can't Do
15 april 2026 · 54 min
Most AI companies are racing to build bigger LLMs. Eve Bodnia thinks that's the wrong approach.
Eve is the founder and CEO of Logical Intelligence, which is developing an alternative to the transformer-based models dominating the industry. Her argument: LLMs’ architecture makes them fundamentally unsuited for some mission-critical tasks. A system that generates output one token at a time, with no ability to inspect its own reasoning mid-process or guarantee its results, shouldn't be trusted to design chips, analyze financial data, or even fly a plane. Her alternative is the energy-based model (EBM), a form of AI rooted in the physics principle of energy minimization, not language prediction. Rather than guessing the next probable word, an EBM maps every possible outcome across a mathematical landscape, where likely states settle into valleys and improbable ones sit on peaks.
Dan Shipper talked with Bodnia for AI & I about why she believes LLM progress is plateauing, what it means for AI to actually understand data rather than just pattern-match across it, and how her team is building toward formally verified code generated in plain English—no C++ required.
If you found this episode interesting, please like, subscribe, comment, and share!
Head to http://granola.ai/every and get 3 months free with the code EVERY
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:51 - Introduction
00:02:09 - Why correctness and verifiability matter in AI
00:09:33 - What an energy-based model is
00:14:21 - How EBMs construct energy landscapes to understand data
00:19:00 - Why modeling intelligence through language alone is a flawed approach
00:26:54 - What it means for a model to "understand" data
00:37:21 - How EBMs solve the vibe coding problem and enable formally verified code
00:43:21 - Why LLM progress is plateauing
00:49:54 - Mission-critical industries haven't adopted LLMs, and how EBMs … Lees meer -
We Gave Every Employee an AI Agent. Here's What Happened.
8 april 2026 · 50 min
While walking to the office, our COO Brandon Gell had his AI agent call him and go over his emails in his inbox one by one. When he arrived, he opened Gmail and confirmed she'd done everything he'd asked. "My jaw is on the floor," he messaged me.
That was the moment Every got serious about setting up each employee with their own agent. Today, it's a reality—and it has completely changed how we work.
Dan Shipper talked to Every COO Brandon Gell and head of platform Willie Williams for Every's AI & I about what happens when everyone at a company gets their own AI sidekick.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Visit https://scl.ai/dialect to learn more about Dialect, a new system from Scale AI.
Timestamps:
00:00 Introduction
00:02:21 How Brandon built Zosia, an AI agent to run his household
00:07:09 Brandon's aha moment re: using agents for work
00:09:39 What happened when everyone on the team got their own agent
00:12:42 How agents take on their owners' personalities, and why that matters inside an org
00:23:51 Why it's important for agents to do work in public
00:30:51 What we're still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem
00:40:45 How we built Plus One, our hosted OpenClaw product
00:47:27 The cultural shift required to make agents work at scale Lees meer -
If SaaS Is Dead, Linear Didn't Get the Memo
1 april 2026 · 53 min
Founded in 2019, Linear is the rare company started pre-ChatGPT to have successfully reinvented itself as an agent-native business.
On this episode of AI & I, Dan Shipper sat down with Karri Saarinen, cofounder and CEO of the product management tool, to discuss building a platform where humans and agents develop software together—and why the "SaaSpocalypse" isn’t coming for all SaaS companies.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Visit https://scl.ai/dialect to learn more about Dialect, a new system from Scale AI.
Timestamps:
0:00 Introduction
2:00 Why Linear waited to ship AI features instead of rushing to chatbots
5:06 Linear's agent platform and becoming the system that guides AI agents
7:42 Why "SaaS is dead" is a simplistic narrative
12:18 How Linear adopted AI coding tools
17:45 AI's impact on product building workflows—speed versus thoughtfulness
22:18 The value of conceptual work and thinking before shipping
29:30 How AI is reshaping Linear's product strategy
37:18 Demo: Linear's agent skills, shared context, and code review workflow
47:48 The future of product development and the enduring role of human judgment Lees meer -
How to Build an Agent-native Product | Mike Krieger
25 maart 2026 · 48 min
Mike Krieger built one of the most consequential consumer apps of the last two decades as cofounder of Instagram. He is now at the frontier of determining what makes a breakout AI-native product as co-lead of Anthropic Labs.
Dan Shipper talked with Krieger for Every’s AI & I about how his experience creating Instagram shapes how he thinks about building with AI, including what can be sped up and what remains stubbornly time-intensive.
If you found this episode interesting, please like, subscribe, comment, and share!
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Download Grammarly for FREE at grammarly.com
Timestamps
Introduction: 00:01:39
What's gotten easier—and what hasn't—about building products in the age of AI: 00:02:33
Why vibe coding creates "indoor trees": 00:05:00
How rewrites have become a normal part of the development process: 00:09:00
What "agent native" product design means: 00:11:39
How Mike's labs team is structured and the cofounder model: 00:24:27
The best signal for a product bet is someone with "break through walls" conviction: 00:29:33
Navigating enterprise customers while keeping pace with rapid AI change: 00:38:51
OpenClaw, personal agents, and the product question defining 2026: 00:40:54
Links to resources mentioned in the episode:
Mike Krieger: https://x.com/mikeyk
Agent-native architecture: https://every.to/guides/agent-native Lees meer -
How Every Builds a Writing Team in the Age of AI
18 maart 2026 · 57 min
Kate Lee has spent her career working with words—first as a literary agent, then in roles at Medium, WeWork, and Stripe. As Every’s editor in chief, she’s been the quiet force behind the newsletter for more than three years.
Lately, something has shifted in Kate’s work. After years of watching her colleague Dan Shipper evangelize AI from the front lines, Katie has started rewiring how she works and is integrating more and more AI tools in her work.
We had Kate on to talk about her career path from book deals to tech startups, what it really means to run a newsletter as a small team in the age of AI, and what she thinks the bottleneck to automating copyediting is. Plus: the story of pulling off reviews of two major model releases in 24 hours, and how she’s using her AI-powered browser to help her hire.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps
0:01 – Introduction and Kate's early career as a literary agent
4:45 – From book publishing to tech: Medium, WeWork, and Stripe Press
12:00 – How Kate joined Every and what made the role click
27:00 – What it's like to be a knowledge worker at the frontier of AI
31:00 – The “aha” moment: using AI to manage hundreds of applicants
36:24 – How Every's editorial team uses AI to enforce standards and train taste
45:06 – Publishing two reviews of major model releases on the same day
51:39 – What automating copy editing requires
Links to resources mentioned in the episode:
Proof: https://www.proofeditor.ai/ Lees meer -
We Made a Document Editor Where Humans and AI Work Side by Side
11 maart 2026 · 45 min
Every has unveiled a new product, built by CEO Dan Shipper. It's called Proof, a free, open-source, live collaborative document editor built for humans and AI agents to work in together.
Proof started as a Mac app designed to show the provenance of AI-written text—purple for AI, green for human. But when Shipper rebuilt it as a web app with real-time collaboration, something clicked. Suddenly, everyone at Every was using it for everything from planning docs, to creative writing and even daily to-do lists. The team realized they needed a lightweight space where their OpenClaw agents and humans could co-author documents and leave comments.
In this special episode, Shipper is joined by Every chief operating officer Brandon Gell, Cora general manager Kieran Klaassen, and head of growth Austin Tedesco to demo Proof live and share how it's changed the way they work. Brandon walks through a loop where his Codex agent writes a plan, Dan's personal Claw R2-C2 reviews it, and the humans just steer. Austin explains how he uses Proof to write a weekly food newsletter, texting ideas to his Claw on runs and watching an outline take shape. And Kieran makes the case that Proof's power is its lightness—just a link you can hand to any agent or colleague.
The conversation covers what "agent native" means in practice, why AX (agent experience) matters as much as UX (user experience), what happens when 10 agents edit one document at the same time, and why some writing is now better read by an AI than a human.
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Get started building today at http://framer.com/dan… Lees meer -
Meet the Slowest Startup Incubator in the World—Pumping Out Billion-dollar Companies
4 maart 2026 · 45 min
Silicon Valley loves billion-dollar moonshots and AI darlings. Sam Gerstenzang and Dan Friedman are doing something different—they're starting medical spas and funeral homes.
On this episode of AI & I, Dan Shipper sat down with Gerstenzang and Friedman, partners at Boulton and Watt, which they call the "world's slowest startup incubator." Their model: Come up with an idea, achieve five or 10 million dollars in revenue themselves, then hand it off to a CEO who can take it to the next stage. They've used this playbook to build Moxie, a Series C company that helps nurses open their own medical spas, now with 600-plus customers and a 200-person team globally. Their second company, Meadow Memorials, is a contemporary funeral home with no physical real estate. It has become the largest provider of funeral services in California.
Both businesses launched right around the arrival of ChatGPT—and neither was built with AI in mind. So how are they thinking about AI inside companies where the core work isn't going to change? In this conversation, Gerstenzang and Friedman share how they built an AI agent called Matthew Bolton to power their customer discovery process, why synthetic customer calls completely failed for them, and why they believe you shouldn't give anyone credit for using AI.
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Intent is what comes after your IDE. Try it yourself: augmentcode.com/intent
Head to granola.ai/every to get 3 months free.
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.Framer.com, and use code DAN to get y… Lees meer -
Meet the Student With No Teachers, No Homework—Just AI
25 februari 2026 · 53 min
Depending on whom you ask, AI is either the best or worst thing that can happen to the next generation. The arguments come from educators, venture capitalists, op-ed writers, and anxious parents—but rarely from the young people in question.
On this episode of AI & I, Dan Shipper sat down with one: Alex Mathew, a 17-year-old high-school senior at Alpha High School in Austin, Texas.
Alpha School, a rapidly expanding network of kindergarten through grade 12 private schools, is not without controversy. Inside Alpha High School, there are no traditional teachers, all academic content is delivered through an AI-powered platform, and the adults in the classroom, known as “guides,” focus solely on supporting the students emotionally and keeping them motivated to learn. The students have two- to three-hour learning blocks every morning and spend the rest of the day going deep on a project in an area they care about, spanning art, sport, life skills, and entrepreneurship.
Mathew’s project is a startup called Berry, built around an AI stuffed animal designed to help teenagers with their mental health. His vision is for teens to talk to the plushie for five to 10 minutes a day and, in the process, learn to recognize and cope with their problems in the right way. In this episode, Dan and Mathew talk about what a day at Alpha High looks like, what keeps students from cheating when AI is everywhere, and how Generation Z—people born between 1997–2012—really feels about college, social media, and books.
If you found this episode interesting, please like, subscribe, comment, and share!
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In a world of generic AI, don’t sound like everyone e… Lees meer -
OpenAI's Codex: This Model Is So Fast It Changes How You Code
18 februari 2026 · 47 min
OpenAI’s hottest app isn’t ChatGPT—it’s Codex.
In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I’ve ever used. Usage has grown fivefold since January, and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl.
Dan Shipper talked to Thibault Sottiaux, head of Codex, and Andrew Ambrosino, a member of technical staff who built the Codex app, for Every’s AI & I about what OpenAI is building and how they’re using it internally.
If you found this episode interesting, please like, subscribe, comment, and share!
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Head to granola.ai/every and get 3 months free with the code EVERY.
Timestamps:
00:00:00 - Start
00:01:27 - Introduction
00:05:27 - OpenAI's evolving bet on its coding agent
00:09:42 - The choice to invest in a GUI (over a terminal)
00:20:38 - The AI workflows that the Codex team relies on to ship
00:26:45 - Teaching Codex how to read between the lines
00:28:45 - Building affordances for a lightening fast model
00:33:15 - Why speed is a dimension of intelligence
00:36:30 - Code review is the next bottleneck for coding agents
00:41:24 - How the Codex team positions against the competition
Links to resources mentioned in the episode:
Thibault Sottiaux: Tibo (@thsottiaux)
Andrew Ambrosino: Andrew Ambrosino (@ajambrosino)
Every’s vibe check on everything the Codex team launched: OpenAI's Codex App Gains Ground on Claude Code, GPT-5.3 Codex—The 10x Engineer, Now More Fun at Parties, AI as Fast as Your Train of Thought Lees meer -
Inside OpenAI’s Agentic Browser, Atlas
11 februari 2026 · 56 min
The AI labs fighting for attention during the Super Bowl call to mind another iconic Super Bowl moment: Apple’s 1984 ad for the Macintosh, which promised that the personal computer would be a source of unbound wonder, freedom, and delight.
They were right, but over time, the personal computer has also become cluttered with errands.
These “computer errands”—downloading a W-2 when tax season rolls around, hunting for the right coupon code before checkout, or navigating the unholy labyrinth of the Amazon Web Services dashboard just to change one permission setting—have taken over our digital lives. Atlas, OpenAI’s agentic browser, sprang from the idea that AI should handle this tedium for you.
In this week’s episode of AI & I, Dan Shipper sat down with two members of the Atlas team, Ben Goodger and Darin Fisher. Goodger is Atlas’s head of engineering, and Fisher is a member of the technical staff. Both are legends of the browser world. They’ve spent decades building the modern web, working together on Netscape, Firefox, and Chrome before arriving at Atlas. From that vantage point, they told Dan how they think browsing is about to change, why building a browser is harder than it looks, and what it’s like to create a new one with AI coding tools like Codex.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
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To hear more from Dan Shipper:
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Move fast, don’t break things
Most AI coding tools don’t know which line of code will actually break your system. Try Augment Code, which understands your entire codebase, including the repos, languages, and dependencies that actually runs your business, and use their playbook to learn more … Lees meer -
How We Built 'Claudie,' Our AI Project Manager (Full Walkthrough)
4 februari 2026 · 47 min
A few weeks ago, Natalia Quintero wouldn’t have called herself technical. But since the beginning of January, she has woken up at 6 a.m. to vibe code with Claude. The AI project manager she built saved her 14 hours a week.
Getting there meant scrapping the system three times and starting over. But the result handles everything from onboarding new clients to generating weekly updates across all projects.
Natalia is the head of AI consulting at Every. As part of the role, she's spoken with over 100 organizations in the past year and worked with a select two dozen, including hedge funds, private equity firms, and Fortune 500 companies. She’s seen what separates companies thriving with AI from those floundering, and it comes down to patterns that have nothing to do with having the most resources or the fanciest tools.
Dan Shipper had her on AI & I to share what she’s learned from this front-row seat to AI adoption. Quintero reveals how a private equity firm cut investment memo creation from three weeks to 30 minutes, why AI adoption needs to come from the top down, and what happened when she learned from her early morning experiments.
She also explains why the companies going furthest with AI are the ones that give employees permission to fail—and how that counterintuitive approach is revolutionary.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.Framer.com, and use code DAN to get your first month of Pro on the house.
Timestamps:
00:00:00 - Introduction
00:01:30 - Why successful AI adop… Lees meer -
How Andrew Wilkinson Uses Opus 4.5 in His Work and Life
21 januari 2026 · 1 uur 3 min
Entrepreneur Andrew Wilkinson used to sleep nine hours a night. Now he wakes up at 4 a.m. and goes straight to work—because he can’t wait to keep building with Anthropic’s latest model, Opus 4.5.
Two years ago, Wilkinson was obsessed with vibe coding on AI software development platform Replit. It was thrilling to describe something in plain English and watch an app appear, less thrilling when the apps were always broken in some way, often full of maddening bugs. So he set his app creation ambitions aside until technology caught up with them.
Then, a few weeks ago, he started playing with Claude Code and Opus 4.5. It felt, he says, like having a “$100,000-a-month payroll of engineers” working for him around the clock.
Wilkinson is the cofounder of Tiny, a company that buys profitable businesses and holds them for the long term. The Tiny portfolio includes the AeroPress coffee maker and Dribbble, a platform where designers can share their work and find jobs. Dan Shipper had him on AI & I to talk about the automations Wilkinson has built for his work and personal life, including an AI relationship counselor, a custom email client, and a system that texts him outfit recommendations each morning. Wilkinson revealed how all of this individual exploration has changed the way he thinks about buying software companies at Tiny.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
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To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at www.framer.com, and use code DAN to get your first month of Pro on the house!
Timestamps:
00:00:00 - Start
00:01:07 - Introd… Lees meer -
Why Your AI Learning Projects Keep Fizzling Out
14 januari 2026 · 55 min
LLMs have made it absurdly easy to go deep on almost any topic. So why haven’t we all used ChatGPT to earn college degrees we wished we had majored in or pursued a niche interest, like learning how to name the trees in our neighborhood? I know I’m not the only one to feel guilty for well-intentioned attempts at autodidactism that inevitably peter out.
Entrepreneur Nir Zicherman has a reason for this disconnect: LLMs can answer most of your questions, but they won’t notice when you’re lost or pull you back in when your motivation starts to fade.
As the CEO and cofounder of Oboe, a platform that generates personalized courses about everything from the history of snowboarding to JavaScript fundamentals using AI, Zicherman has thought deeply about why the ability to access information does not automatically lead to understanding a concept. In this episode of AI & I, he talks to Dan Shipper about everything he’s learned about learning with LLMs.
They get into Zicherman’s counterintuitive belief that learning is a more passive process than you’d think, the biggest blocker for most people who want to learn something new, and where AI agents currently fall short in providing a meaningful learning experience.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
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To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:00 - Start
00:00:36 - Introduction
00:01:49 - Why you need a dedicated AI learning app
00:04:32 - The process of learning is more passive than you might think
00:10:21 - Live demo of Oboe to create a course about philosopher Ludwig Wittgenstein
00:16:52 - Learning works best when it comes in many formats
00:28:21 - Where AI a… Lees meer -
Vibe Check: Claude Cowork Is Claude Code for the Rest of Us
13 januari 2026 · 1 uur 33 min
Anthropic just dropped Claude Cowork—essentially Claude Code for everyone, not just engineers—and we got to chat about it with a product engineer at Anthropic who helped build it.
In this live Vibe Check, Dan Shipper and Kieran Klaassen explore the new interface together, testing what works (and what doesn't) in real time. Anthropic’s Felix Rieseberg joins midway through to explain the philosophy behind Cowork's design: why it separates "Tasks" from "Chats," how the queue system lets you send messages while the agent is working, and what "agent-native" architecture means in practice. They also dig into Skills—Claude's prompt system that lets you customize how it works—and the Chrome connector for browser automation.
This is a raw, unfiltered first look at what might be the future of how knowledge workers interact with AI: async workflows instead of turn-by-turn chat.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Check out Dan's guide to building agent-native applications: https://every.to/guides/agent-native
To hear more from Dan Shipper:
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00:01:00 - What is Claude Cowork
00:02:36 - First demo: competitor analysis
00:03:33 - Email drafting that sounds like me
00:06:18 - Calendar audit running for an hour
00:07:39 - Book taxonomy demo
00:08:42 - PostHog analytics via Chrome browsing
00:14:36 - Chat vs Code vs Cowork: when to use what
00:31:06 - Felix from Anthropic joins
00:36:39 - Why they built it in a week and a half
00:37:57 - Design decision: why a separate tab
00:43:57 - Skills as the primary hackable surface
00:49:36 - Agent-native architecture principles
00:56:57 - The origin story of skills at Anthropic
01:03:00 - Our final rating Lees meer -
AI in 2026: Reid Hoffman’s Predictions on Agents, Work, and Creation
7 januari 2026 · 1 uur
From cofounding LinkedIn to backing OpenAI early, Reid Hoffman is in the habit of being right about the future, so we wanted to know what he saw coming in 2026.
In his third appearance on AI & I, Hoffman lays out his predictions for where AI will go in the 12 months ahead. He talks to Dan Shipper about how agents will break out of coding into other domains and who’s winning the coding agent race. They also get into how Hoffman defines artificial general intelligence, the way he believes enterprises will use AI, and why public debate on AI might turn more negative, even as the technology becomes more empowering for individuals.
Hoffman’s other bets on the future include cofounding AI drug discovery startup Manas AI, investing at venture capital firm Greylock Partners, writing books, and hosting the Masters of Scale podcast. He’s also an investor at Every.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
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To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:00 - Start
00:00:52 - Introduction
00:02:20 - The future of work is an entrepreneurial mindset
00:05:22 - Creation is addictive (and that’s okay)
00:09:22 - Why discourse around AI might get uglier this year
00:17:03 - AI agents will break out of coding in 2026
00:24:18 - What makes Anthropic’s Opus 4.5 such a good model
00:28:46 - Who will win the agentic coding race
00:36:13 - Why enterprise AI will finally land this year
00:43:16 - How Hoffman defines AGI
00:55:33 - The most underrated category to watch in AI right now
Links to resources mentioned in the episode:
Reid Hoffman: Reid Hoffman (@reidhoffman)
The AI drug discovery startup Hoffman cofounded: Manas AI Lees meer -
Four Predictions for How AI Will Change Software in 2026
31 december 2025 · 37 min
Tomorrow is the first day of 2026, and to give our listeners a view of the trends that’ll shape the year ahead, Dan Shipper had Every COO Brandon Gell on AI & I to discuss their predictions for what’s next. They discussed how software will be built, who will build it, and what it will take for truly autonomous AI agents to become a reality.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:00 — Start
00:01:05 — Introduction
00:01:34 — Reflections on Every’s growth over the past year
00:09:38 — What changes when a company grows from 20 to 50 people
00:11:55 — How agent-native architecture will change software in 2026
00:17:13 — Why designers are slated to become power users of AI
00:23:24 — The new kind of software engineer who will direct AI agents
00:33:42 — Why the next wave of AI training will focus on autonomy Lees meer -
Best of the Pod: Reid Hoffman on How AI Is Answering Our Biggest Questions
24 december 2025 · 1 uur 1 min
Learn how to use philosophy to run your business more effectively.
Reid Hoffman thinks a masters in philosophy will help you run your business better than an MBA.
Reid is a founder, investor, podcaster, and author. But before he did any of these things, he studied philosophy—and it changed the way he thinks.
Studying philosophy trains you to think deeply about truth, human nature, and the meaning of life. It helps you see the big picture and reason through complex problems—invaluable skills for founders grappling with existential questions about their business.
I usually bring guests onto my podcast to discuss the actionable ways in which people have incorporated ChatGPT into their lives. But this episode is different.
I sat down with Reid to tackle a deeper question: How is AI changing what it means to be human?
It was honestly one of the most meaningful shows I’ve recorded yet. We dive into:
- How philosophy prepares you to be a better founder
- The importance of interdisciplinary thinking
- Essentialism v. nominalism in the context of AI
- How language models are evolving to be more “essentialist”
- The co-evolution of humans and technology
Reid also shares actionable uses of ChatGPT for people who want to think more clearly, like:
- Input your argument and ask ChatGPT for alternative perspectives
- Generate custom explanations of complex ideas
- Leverage ChatGPT as an on-demand research assistant
This episode is a must-watch for anyone curious about some of the bigger questions prompted by the rapid development of AI.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Ready to build a … Lees meer -
Jhana Meditation Live: How Anyone Can Achieve Super Wellbeing
16 december 2025 · 1 uur 16 min
We had someone guide himself toward Jhana live on our podcast. And he narrated himself from start to finish.
Jhanas are meditative bliss states and they traditionally require thousands of hours of practice. But Stephen Zerfas and his team at Jhourney are changing that—creating retreats where most participants hit a Jhana in their first week.
Dan Shipper went to one of their retreats earlier this year, and it was by far the best he’s been to. So we had Stephen on AI & I to show us how he gets into a Jhana and what the future of super wellbeing might look like.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
Introduction: 00:00:56
A primer on Jhana meditation: 00:01:18
Zerfas guides himself towards Jhana: 00:05:47
Why Jhana is about resting into what already exists: 00:36:04
Approaching meditation with play and curiosity: 00:39:30
The potential pitfalls of Jhana meditation: 00:45:04
How to hack your personality through memory reconsolidation: 00:48:21
Why Jhana won't let you numb yourself to real problems: 00:53:10
How Jhana meditation has changed Zerfas: 00:55:36
How Jhourney is using AI to make Jhanas more accessible: 01:09:41
Links to resources mentioned in the episode:
Stephen Zerfas: Stephen Zerfas
Jhourney: https://www.jhourney.io/
The Donella Meadows book Zerfas refers to: Thinking in Systems: A Primer Lees meer -
She Turned Her Whole Life Into Training Data—For an AI Baby
10 december 2025 · 1 uur 14 min
Sarah Rose Siskind is incubating two types of intelligence at once: her unborn child, and FetusGPT—an LLM trained on nothing but what she hears and says throughout the day.
This includes Seinfeld episodes, YouTube videos about lemurs, eight hours of snoring per night—and even conversations with me, all condensed into MP3 and text files that are used to train the AI. Since FetusGPT is learning English from such a narrow, idiosyncratic slice of the world, it mostly babbles right now, and if she swears, it picks that up too.
FetusGPT is one zany example of how Siskind uses humor to make a bigger point: AI is what we make of it. It’s an approach that feeds through her comedy writing and work as the founder of science and technology communications agency Hello SciCom.
We had Siskind on AI & I to talk about how she uses AI in her creative process as a comedian, and the unexpected support it's become, both practical and emotional, as she navigates pregnancy.
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every
Timestamps:
00:00:00 - Start
00:01:54 - Introduction
00:02:03 - How Siskind is running an experiment between her unborn child and an LLM
00:07:34 - A demo of Siskind’s FetusGPT
00:15:16 - Siskind’s pick for the funniest LLM
00:17:12 - How Siskind uses AI in her comedy writing
00:24:41 - Dan and Siskind use ChatGPT to write a joke together live on the show
00:37:21 - Why AI is useful even when you don’t use its output directly
00:44:… Lees meer -
Why Opus 4.5 Just Became the Most Influential AI Model
3 december 2025 · 1 uur 25 min
The world changed last week—Opus 4.5 is the best coding model Dan has ever used.
It can keep coding and coding autonomously without tripping over itself—and it marks a completely new horizon for the craft of programming. The dream is here: You can write English, and make software.
We had Paul Ford on AI & I to talk about it. Ford is the co-founder of Aboard and also a prolific writer. He authored one of Dan’s favorite pieces of technology writing What Is Code?—so he’s the perfect person to unpack this with him.
We talk about the wonder—and genuine unease—that comes with using tools this powerful. We also get into what people who love technology should care about as the ground under us shifts faster than we can imagine.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipper
Head to ai.studio/build to create your first app
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at Framer.com, and use code DAN to get your first month of Pro on the house!
Timestamps:
00:00:00 - Start
00:01:57 - Introduction
00:03:28 - How Claude Opus 4.5 made the future feel abruptly close
00:08:12 - The design principles that make Claude Code a powerful coding tool
00:10:57 - How Ford uses Claude Code to build real software
00:20:12 - Why collapsing job titles and roles can feel overwhelming
00:22:56 - Ford’s take on using LLMs to write
00:24:09 - A metaphor for weathering existential moments of change
00:25:45 - What GLP-1s taught Ford about how people adapt to big shifts
00:49:36 - Why you should care what your LLM was trained on
00:52:15 - Ford prompts Claude … Lees meer -
Best of the Pod: Would You Shut Down Your Most Successful Product? The Arc to Dia Story
26 november 2025 · 1 uur 24 min
If you had millions of people using a product you spent years building, would you kill it?
That’s exactly what The Browser Company did with Arc.
Originally recorded in July before The Browser Company’s acquisition by software giant Atlassian earlier this year, we’re republishing this episode because its lessons are truly timeless. Today, the team continues to operate independently under Atlassian’s umbrella.
The internet backlash when the company killed Arc in May 2025 was intense, but cofounders Josh Miller and Hursh Agrawal saw that AI was about to make the web something you talk to, not just click into. The best home for that assistant was the thing that's already between you and the internet—the browser. And they realized they couldn’t just duct-tape it on to Arc.
One year of heads-down work later, the team launched Dia in beta, and people are raving about it. Dia is a sleek, fast, browser with AI at its core—it gets better with every tab you open, becoming more and more helpful with time.
And even though it’s still early, Josh and Hursh’s big pivot looks like one for the ages.
In this episode of AI & I, Josh and Hursh spoke for the first time in a full-length podcast about their pivot from Arc to Dia. We talked through their decision-making process, the very public backlash the company faced, and the grit it took to stay the course.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Timestamps:
00:00:00 - Start
00:00:48 - Introduction
00:02:22 - The story of how Dan might've been the CEO of The Browser Company
00:09:40 - The moment Josh and Hursh knew they had to walk away from Arc
00… Lees meer -
Best of the Pod: Claude Code - How Two Engineers Ship Like a Team of 15
19 november 2025 · 53 min
If you’re using AI to just write code, you’re missing out.
Two engineers at Every shipped six features, five bug fixes, and three infrastructure updates in one week—and they did it by designing workflows with AI agents, where each task makes the next one easier, faster, and more reliable.
In this episode of AI & I, Dan Shipper interviewed the pair—Kieran Klaassen, general manager of Cora, our inbox management tool, and Cora engineer Nityesh Agarwal—about how they’re compounding their engineering with AI. They walk Dan through their workflow in Anthropic’s agentic coding tool, Claude Code, and the mental models they’ve developed for making AI agents truly useful. Kieran, our resident AI-agent aficionado, also ranked all the AI coding assistants he’s used.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Head to ai.studio/build to create your first app.
Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every
Timestamps:
Episode start: 00:00:00
Introduction: 00:01:16
Why Kieran believes agents are turning a corner: 00:03:18
Why Claude Code stands out from other agents: 00:06:36
What makes agentic coding different from using tools like Cursor: 00:11:58
The Cora team’s workflow to turn tasks into momentum: 00:15:20
How to build a prompt that turns ideas into plans: 00:23:07
The new mental models for this age of software engineering: 00:34:00
Why traditional tests and evals still matter: 00:39:13
Kieran ran… Lees meer -
Building AI Agents to Launch a Million Businesses
12 november 2025 · 1 uur 6 min
Henrik Werdelin wants to launch a million businesses that each make $1M—and he’s doing it with AI.
After helping launch Barkbox and Ro Health through his incubator Prehype, Henrik is distilling everything he knows into Audos, a platform that helps you use AI agents to turn your idea into a profitable, lasting company.
We had him on AI & I to talk about “portfolio entrepreneurship”—a new breed of entrepreneurship shepherded in by AI, where founders build families of products around the same customer, instead of one moonshot idea. It’s a philosophy we hold close to our hearts at Every.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Head to ai.studio/build to create your first app.
Ready to build a site that looks hand-coded—without hiring a developer? Launch your site for free at https://www.framer.com/, and use code DAN to get your first month of Pro on the house!
Pitch is the AI presentation platform that helps professionals collaborate on, create, and deliver winning slide decks — all while staying on brand: https://pitch.com/use-cases/ai-presentation-maker/?utm_medium=paid-influencer&utm_campaign=every !
Timestamps:
00:01:33 - Introduction
00:02:50 - Dan and Henrik on the new breed of entrepreneurship that AI makes possible
00:11:08 - Why Henrik believes the future belongs to a million $1M companies
00:16:14 - How to build “relationship capital” with your customers
00:21:35 - Why “customer-founder fit” shapes lasting companies
00:23:01 - Everything Henrik learned about himself from a decade of building companies
00:31:44 - How Henrik finds focus and meaning in the daily chaos
00:34:1… Lees meer -
What Jason Fried Learned from 26 Years of Building Great Products
5 november 2025 · 58 min
37signals makes tens of millions in profit every year but Jason Fried isn’t all that interested in running a business.
Instead, he cares most about making great products—like Basecamp, HEY, and Ruby on Rails—products that are centered around a single, coherent idea. These products are complete wholes, where each piece matters—like a Frank Lloyd Wright house or a vintage car.
But how do you create products like that?
In this conversation, we talk to Jason about what two decades of building 37signals has been like—and how to build products that have soul.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.
To hear more from Dan Shipper:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://twitter.com/danshipper
Listen to Working Smarter wherever you get your podcasts, or visit workingsmarter.ai.
Timestamps:
00:00:00 - Start
00:00:32 - Introduction
00:02:06 - What architecture, watches, and cars teach us about software
00:10:54 - How Jason thinks AI plays into product-building
00:20:58 - How developers at 37signals use AI
00:25:47 - Jason’s biggest realization after 26 years of running 37signals
00:29:58 - Where Jason thinks luck shaped his career
00:32:41 - What Jason would do if he were graduated into the AI boom
00:37:22 - Dan asks for advice on running a non-traditional company like Every
00:46:39 - Why staying true to yourself is the only way to build something lasting
00:49:38 - Wholeness as the north star for building products—and companies
Links to resources mentioned in the episode:
Jason Fried: Jason Fried (@jasonfried), Jason Fried
More about 37Signals: 37signals
The book about architecture by Christopher Alexander: The Timeless Way of Building Lees meer