Stay ConnectedThe Every Podcast is Every’s flagship show. Co-hosts Dan Shipper and Natalia Quintero talk with founders, researchers, writers, and operators about what they’re building and how they use AI in their own work. The show also takes you behind the scenes at Every. We share how our team is using and exploring AI, including what we’re trying, what’s working, and what we’re learning along the way.
Formerly known as AI & I.
Read more at every.to.
Copyright: © Dan Shipper
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:
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
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
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:
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
Sam Altman's Dot, OpenAI's new always-on agent, gave him back the most productive part of his day.
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 Check on OpenAI DevDay 2026: https://every.to/vibe-check/vibe-check-openai-devday-2026?utm_source=podcast
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-turned-me-into-a-content-agency-of-one
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 for YouTube:
0:00 Start0:49 Introduction1:21 How Katie went from being laid off to using ChatGPT as a career coach8:06 Turning AI into a “content agency of one”10:59 Building the context files and style guides that make AI outputs useful14:15 What makes a Claude project actually work21:18 How AI helped with a mental health crisis and “computer errands”27:03 Katie’s career coach, now a fully autonomous Codex project32:27 What compounding means, and building the Compound Writing plugin38:00 Borrowing Vonnegut, Hitchcock, and Sorkin as AI editing skills44:49 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-turned-me-into-a-content-agency-of-one
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
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
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
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/subscribeFollow him on X: https://twitter.com/danshipperGo 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
Our TOPPODCAST Picks 
