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Two years ago, Katie Parrott turned to ChatGPT because she couldn’t afford a career coach. Today, she’s open-sourced the writing system that grew out of it. On this week’s AI & I: Katie Parrott on turning two years of AI habits into compound writing—a system any writer can use.... A few highlights: Good writing starts with good ingredients, not clever prompts. Parrott built her AI habits on the same foundational documents she used as a content marketer — audience personas, brand positioning, differentiators — long before “context engineering” had a name. Writing with AI brought back her love of writing. Handing the grunt work to AI freed up the energy to focus on harder, bigger-picture questions — and made the process feel like exploration again instead of a slog. She turned her own process into an open-source plugin. Modeled on Kieran Klassen’s compound engineering plugin, compound writing walks any writer through the brainstorming, outlining, drafting, and editing steps Parrott uses herself — including review “skills” modeled on writers like Kurt Vonnegut and Alfred Hitchcock. Watch here or on YouTube, or listen on Spotify or Apple Podcasts. 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 evershow more

Every 📧

55,620 subscribers

12,055 views • 1 month ago •via X (Twitter)

Anya Rossi• Live Now

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12 Comments

Noa Salazar1 month ago

@kplikethebird Love the emphasis on solid ingredients (personas, positioning) over clever one-off prompts. That foundation is what keeps AI output consistent and useful instead of generic. The open-source plugin angle makes it especially approachable for anyone building a writing habit.

Alice The Ai Expert1 month ago

@kplikethebird From career coach to open-source compound writing system what an inspiring journey, love how you turned real habits into a toolkit for everyone!

RAZA | AI EXPLORER1 month ago

@kplikethebird Love this. The idea of turning years of AI-assisted writing habits into an open-source system is incredibly practical and accessible.

Aria Tech29 days ago

@kplikethebird This is so inspiring — turning ChatGPT into a career coach and then open-sourcing the whole system. Compound writing feels like giving every writer their own “content agency of one.”

Carol Rehor29 days ago

@kplikethebird Turning two years of messy AI habits into something other writers can use is the generous version of build-in-public.

Sani Ai Tech1 month ago

@kplikethebird Turning years of practice into an open system is powerful

ZenithAi1 month ago

@kplikethebird Turning two years of AI habits into an open source system

Noor Tech1 month ago

@kplikethebird Two years ago she couldn't afford coaching

Elise Tech Ai1 month ago

@kplikethebird Turning AI grunt work into creative freedom — love that.

Evia AI1 month ago

@kplikethebird Love how AI turned her writing process into a reusable system

Elara AI1 month ago

@kplikethebird compound writing with Vonnegut and Hitchcock as editors is brilliant

Ella Tech & Tool1 month ago

@kplikethebird Love this story 🔥 Turning AI into a real writing system and open-sourcing it is huge.

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Dan Shipper 📧

27,207 views • 1 year ago

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David Perell

175,200 views • 1 year ago

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Bonsai 🌳

105,959 views • 3 months ago

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David Perell

328,817 views • 6 months ago

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David Perell

191,503 views • 8 months ago

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Natalia Quintero (Natalia) runs Every 🧱’s seven-figure AI consulting practice, and she just automated her job with Claude Code. She built an AI project manager, Claudie, that cuts her weekly project management workload from 15 hours to just one. It manages the fleet of spreadsheets she uses to manage new clients, track what has been delivered and what hasn’t, and aggregate feedback to improve our services over time. A month ago she would’ve described herself as non-technical, but now she’s a ‘bonafide vibe code addict’—waking up at 6 a.m. everyday to work on Claudie before her meetings start. She’s not just personally neck-deep in AI—she’s also seen it work, and not, in the smartest enterprises in the world. As our head of consulting, she’s worked with top hedge funds, PE, firms, tech companies, and Fortune 500s to help drive AI adoption and automations. I had her on AI&I to talk about: - How to transition a big company into a truly AI-native org - Why enterprise AI adoption only goes as far as CEO adoption - How to empower AI early adopters inside your org - Why you have to carve out space to “play” with AI if you want real transformation If you’re trying to figure out how to actually put AI to work inside your company, this episode is for you. Watch below! Timestamps: Introduction: 00:00:00 Why successful AI adoption requires coordinated, top-down effort: 00:01:30 How a private equity firm reduced investment memo creation from weeks to 30 minutes: 00:07:05 The benefits of connecting AI to proprietary context: 00:13:30 The plan-delegate-assess-compound framework for engineering teams: 00:15:20 How non-technical team members are becoming vibe coding addicts: 00:17:55 Building Claudie: an AI project manager from scratch: 00:20:50 Why creative exploration time outside the 9-to-5 is essential: 00:23:00 Live demo: How Claudie automates client onboarding and tracking: 00:27:50 The human side of AI: spending less time in spreadsheets, more time with people: 00:38:40

Dan Shipper 📧

31,828 views • 8 months ago

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

39,073 views • 4 months ago

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

Karina

845,887 views • 2 years ago

I just talked to a woman that makes $6,000 to $7,000 a month writing blog posts. She says anyone can do this. Tech companies are paying her $900 to $1,200 per article because they tried replacing writers with ChatGPT and it backfired. They're even hiring full time writers for multiple 6 figure salaries. Steph doesn't have a coding background or major technical expertise. She has just played around with a lot of tools and tries to explain them to people the way she would want them explained to her. These tech companies want exactly that. Someone that can bridge the gap between tech and "normal" people. She says this is the best time its ever been to be a writer. Companies want HUMAN sounding writing, not AI junk. In this episode Steph: - Breaks down exactly how she uses AI to assist her writing without letting it take over - Tells me why hire a writer is trending up on Google Trends right now - Gives me the Upwork playbook for getting your first $3,000/month as a freelance writer This one blew my mind.

I just talked to a woman that makes $6,000 to $7,000 a month writing blog posts. She says anyone can do this. Tech companies are paying her $900 to $1,200 per article because they tried replacing writers with ChatGPT and it backfired. They're even hiring full time writers for multiple 6 figure salaries. Steph doesn't have a coding background or major technical expertise. She has just played around with a lot of tools and tries to explain them to people the way she would want them explained to her. These tech companies want exactly that. Someone that can bridge the gap between tech and "normal" people. She says this is the best time its ever been to be a writer. Companies want HUMAN sounding writing, not AI junk. In this episode Steph: - Breaks down exactly how she uses AI to assist her writing without letting it take over - Tells me why hire a writer is trending up on Google Trends right now - Gives me the Upwork playbook for getting your first $3,000/month as a freelance writer This one blew my mind.

Chris Koerner

41,286 views • 15 days ago

I built an AI powered writing app with Cursor Agent without writing a single line of code in a little over an hour. Features: - AI powered autocomplete - AI powered image search with autosuggestions based on what i'm writing - Ai powered research based on what i'm writing - Block based writing (which is useful for my workflow as a video content creator) !!! And I ran it locally this time. Normally I use replit, so if you got stuck on connecting cursor and replit, this video is for you. Template pinned on @senior_swc (starting point you can download) Tools used - Cursor (Claude for ai model) - Firebase - Deepseek DeepSeek - Exa ( Exa ) - Search API These videos serve as R&D for the app we're building at @yapthread. We're building the cursor for content creators. Sections 00:00 Introduction 03:24 Introduction to the Template 03:54 Setting Up Locally 04:04 Downloading and Running Locally 05:34 Firebase Setup 06:10 first prompt in cursor + continuing firebase 08:11 Full Plan for the app I'm building 10:44 Outlining the app hotkeys 11:55 Testing First Feature 16:54 Adding Autocomplete Feature Deepseek 22:23 Adding Images to Blocks (Search API) 22:42 Implementing and Testing Image Search (Search API) 25:32 Adjusting Image Sizes and Social Media Discussion 28:11 Adding Relevant Links (Exa API) 30:34 Testing and Debugging Link Highlights 32:27 Finalizing Image and Link Integration 40:37 Conclusion and Future Plans

I built an AI powered writing app with Cursor Agent without writing a single line of code in a little over an hour. Features: - AI powered autocomplete - AI powered image search with autosuggestions based on what i'm writing - Ai powered research based on what i'm writing - Block based writing (which is useful for my workflow as a video content creator) !!! And I ran it locally this time. Normally I use replit, so if you got stuck on connecting cursor and replit, this video is for you. Template pinned on @senior_swc (starting point you can download) Tools used - Cursor (Claude for ai model) - Firebase - Deepseek DeepSeek - Exa ( Exa ) - Search API These videos serve as R&D for the app we're building at @yapthread. We're building the cursor for content creators. Sections 00:00 Introduction 03:24 Introduction to the Template 03:54 Setting Up Locally 04:04 Downloading and Running Locally 05:34 Firebase Setup 06:10 first prompt in cursor + continuing firebase 08:11 Full Plan for the app I'm building 10:44 Outlining the app hotkeys 11:55 Testing First Feature 16:54 Adding Autocomplete Feature Deepseek 22:23 Adding Images to Blocks (Search API) 22:42 Implementing and Testing Image Search (Search API) 25:32 Adjusting Image Sizes and Social Media Discussion 28:11 Adding Relevant Links (Exa API) 30:34 Testing and Debugging Link Highlights 32:27 Finalizing Image and Link Integration 40:37 Conclusion and Future Plans

Riley Brown

83,096 views • 1 year ago

$I've spent hours and hours thinking about how AI is going to change writing. This is a 90-minute distillation of everything I've learned. Some things I believe: 1. The combination of LLM-driven humor and image generation means that we're about to enter the golden age of memes. 2. The best writers will be fine. Robert Caro and Dostoevsky aren’t about to be disrupted by ChatGPT. 3. What are the different models like? ChatGPT is your friend who makes a lot of good points, but it’s kinda boring, Claude is your hippie friend who loves to get vulnerable but takes the whole “express yourself” thing a little too far, and Grok is your unhinged friend who leans a little too hard into tinfoil hat theories, but is always a trip to jam on ideas with. 4. People who say that AI writing is low-quality aren’t realizing that quality exists along two dimensions: (1) the absolute quality of the writing and (2) how tailored the writing is to your interests at the time. 5. I’ll tell you this: What writers are doing with AI behind closed doors is a long way ahead of what's publicly understood. I don't expect this to change anytime soon because of the social stigma associated with AI-enhanced writing. Because of that, if you want to see the cutting edge, you're gonna have to piece things together through private conversations and group chats. 6. If you want to follow what's happening in AI, remember this quote from William Gibson: “The future is here, it’s just not evenly distributed yet.” You can get a glimpse of the future by looking at how a small percentage of writers are already using AI. 7. I’m bearish on writers who are currently using AI to write for them, and bullish on writers who are currently using AI to write with them. 8. What kinds of writing will continue to be written by humans? Ones that speak to our humanity. People are interested in people. Their stories, their struggles, their emotions, their drama. 9. Almost all utilitarian writing, where the goal is to convey information, not do it beautifully, will be written by AI. 10. In some ways, AI is the end of slop. So many Google search results are slop. LinkedIn posts are slop. The way Twitter got taken over by Threadbois in 2021 was also slop. AI-generated writing is already better than all of those things, so why would you read them now? 11. AI will be tougher on writers than readers. Readers will be exposed to some slop, but the Internet will be good about filtering it out. Writers, though, are now competing against ever-improving LLMs, which are getting better and better by the month. 12. Humans will contribute with unique data or perspectives. The famous Peter Thiel interview question doubles as a good writing prompt: “What very important truth do few people agree with you on?” 13. New technologies breed new kinds of art. Ever notice how flat 13th or 14th century Medieval art looks? And how different that art looks from the Renaissance art created in the 15th and 16th centuries? Technical innovations like the camera obscura and perspective grids are behind this. Similarly profound changes will come to the writing world because of AI (credit to Justin Murphy for the idea here). 14. Satya Nadella says: “The new workflow for me is I think with AI and work with my colleagues.” When it comes to discovering ideas, I've also found that jamming with an LLM is more productive than doing it with most people I know (save for a few giga-brain conversationalists). 15. Thought experiment: Will AI-writing be more like music or chess? With music, we don't care how a song is made. We just want it to be good. With chess, there's a huge market for watching human beings play even though the computers are already better. I think non-fiction writing will go the way of music. People won’t care how it was made. They’ll just care that it’s good. 16. AI has flipped the rules of tech adoption. Seasoned managers usually drag their feet with adopting new technology, but the ones I know love AI, while frontline workers struggle to see the point. My theory is that AI matches how managers already operate. Management has always been a kind of prompt engineering: set a vision, delegate, give feedback, iterate. But LLMs remove the drama that used to come with having a team. No 1-on-1s. No emotional tangles. It's like management without the headache. For frontline employees, things are different. They aren't as accustomed to setting a vision and giving feedback, so LLM prompting is a daunting and unfamiliar kind of work for them. 17. AI editors are already quite good. Sure, they aren’t as good as the world’s best editors, but they’re a fraction of the cost, they’ll instantly give you 80th percentile feedback, and they work 24/7. As a novelist recently said to me: “Paying an editor to review my novel costs me $7,000 and a 4-6 week turnaround time, whereas Claude costs me $1.25 and gets me results a few minutes later.” The edits definitely aren’t as good, but there’s a virtue to speed (and this guy isn’t a chump writer). 18. The way AI-skeptics hate on LLMs while using old models is like driving a ‘92 Honda while hating on a self-driving Tesla. 19. AI-generated fiction makes people very upset. A friend insists it’s like having sex with a robot. Doesn’t matter how good it is. It ain’t human-generated, and there’s something uniquely repulsive about that. I’ve shared the full conversation below. It’s a solo-episode of me riffing on what I’ve learned about AI for ~90 minutes. If you’d rather watch it on YouTube or listen on Apple or Spotify, I’ve shared the links in the reply tweets. And if you have any questions, I’ll be extra active in the replies for this episode.$

I've spent hours and hours thinking about how AI is going to change writing. This is a 90-minute distillation of everything I've learned. Some things I believe: 1. The combination of LLM-driven humor and image generation means that we're about to enter the golden age of memes. 2. The best writers will be fine. Robert Caro and Dostoevsky aren’t about to be disrupted by ChatGPT. 3. What are the different models like? ChatGPT is your friend who makes a lot of good points, but it’s kinda boring, Claude is your hippie friend who loves to get vulnerable but takes the whole “express yourself” thing a little too far, and Grok is your unhinged friend who leans a little too hard into tinfoil hat theories, but is always a trip to jam on ideas with. 4. People who say that AI writing is low-quality aren’t realizing that quality exists along two dimensions: (1) the absolute quality of the writing and (2) how tailored the writing is to your interests at the time. 5. I’ll tell you this: What writers are doing with AI behind closed doors is a long way ahead of what's publicly understood. I don't expect this to change anytime soon because of the social stigma associated with AI-enhanced writing. Because of that, if you want to see the cutting edge, you're gonna have to piece things together through private conversations and group chats. 6. If you want to follow what's happening in AI, remember this quote from William Gibson: “The future is here, it’s just not evenly distributed yet.” You can get a glimpse of the future by looking at how a small percentage of writers are already using AI. 7. I’m bearish on writers who are currently using AI to write for them, and bullish on writers who are currently using AI to write with them. 8. What kinds of writing will continue to be written by humans? Ones that speak to our humanity. People are interested in people. Their stories, their struggles, their emotions, their drama. 9. Almost all utilitarian writing, where the goal is to convey information, not do it beautifully, will be written by AI. 10. In some ways, AI is the end of slop. So many Google search results are slop. LinkedIn posts are slop. The way Twitter got taken over by Threadbois in 2021 was also slop. AI-generated writing is already better than all of those things, so why would you read them now? 11. AI will be tougher on writers than readers. Readers will be exposed to some slop, but the Internet will be good about filtering it out. Writers, though, are now competing against ever-improving LLMs, which are getting better and better by the month. 12. Humans will contribute with unique data or perspectives. The famous Peter Thiel interview question doubles as a good writing prompt: “What very important truth do few people agree with you on?” 13. New technologies breed new kinds of art. Ever notice how flat 13th or 14th century Medieval art looks? And how different that art looks from the Renaissance art created in the 15th and 16th centuries? Technical innovations like the camera obscura and perspective grids are behind this. Similarly profound changes will come to the writing world because of AI (credit to Justin Murphy for the idea here). 14. Satya Nadella says: “The new workflow for me is I think with AI and work with my colleagues.” When it comes to discovering ideas, I've also found that jamming with an LLM is more productive than doing it with most people I know (save for a few giga-brain conversationalists). 15. Thought experiment: Will AI-writing be more like music or chess? With music, we don't care how a song is made. We just want it to be good. With chess, there's a huge market for watching human beings play even though the computers are already better. I think non-fiction writing will go the way of music. People won’t care how it was made. They’ll just care that it’s good. 16. AI has flipped the rules of tech adoption. Seasoned managers usually drag their feet with adopting new technology, but the ones I know love AI, while frontline workers struggle to see the point. My theory is that AI matches how managers already operate. Management has always been a kind of prompt engineering: set a vision, delegate, give feedback, iterate. But LLMs remove the drama that used to come with having a team. No 1-on-1s. No emotional tangles. It's like management without the headache. For frontline employees, things are different. They aren't as accustomed to setting a vision and giving feedback, so LLM prompting is a daunting and unfamiliar kind of work for them. 17. AI editors are already quite good. Sure, they aren’t as good as the world’s best editors, but they’re a fraction of the cost, they’ll instantly give you 80th percentile feedback, and they work 24/7. As a novelist recently said to me: “Paying an editor to review my novel costs me $7,000 and a 4-6 week turnaround time, whereas Claude costs me $1.25 and gets me results a few minutes later.” The edits definitely aren’t as good, but there’s a virtue to speed (and this guy isn’t a chump writer). 18. The way AI-skeptics hate on LLMs while using old models is like driving a ‘92 Honda while hating on a self-driving Tesla. 19. AI-generated fiction makes people very upset. A friend insists it’s like having sex with a robot. Doesn’t matter how good it is. It ain’t human-generated, and there’s something uniquely repulsive about that. I’ve shared the full conversation below. It’s a solo-episode of me riffing on what I’ve learned about AI for ~90 minutes. If you’d rather watch it on YouTube or listen on Apple or Spotify, I’ve shared the links in the reply tweets. And if you have any questions, I’ll be extra active in the replies for this episode.

David Perell

257,480 views • 1 year ago

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

JJ Englert

77,030 views • 8 months ago

BREAKING: We're launching an AI writing partner infused with our taste Every 📧. Spiral will help you write great short-form content in your style that sounds like you—not a model. We’ve loaded it with everything we know about writing—writing that feels alive and honest, and that spreads—and put it at your fingertips. Spiral v3 is a multi-agent system that takes you from idea to post in a few simple steps: 1. Collaborative interviews. When you ask Spiral to write a piece of content, it won’t start writing immediately. Instead, it will chat with you to figure out what you’re really trying to say and what’s most interesting to you. 2. Many drafts at once. Once Spiral begins to draft, it will write three different versions that you can see and interact with simultaneously. You can explore the space of possibilities and mix and match between different drafts easily. 3. Principled and taste-driven. We’ve spent hundreds of hours baking everything we know about writing into Spiral’s thought -process. It has a library of principles that it draws from—like always using the active voice, and always putting the most interesting idea in the hook—that make Spiral feel like a great ghostwriter, not an AI. 4. Collaborative and team-ready. Spiral has Workspaces that allow you to share product and company information and styles between members of your team—so all of your writing is on brand, all the time. You can buy Spiral standalone or if you're an Every 📧 subscriber you get it for free as part of your subscription along with access to all of our writing, our live AI-coding workshops like Claude Code Camp, Cora, Monologue, Sparkle, and our subscriber-only Discord. Try Spiral v3 now:

Dan Shipper

83,443 views • 11 months ago

Adrian Tchaikovsky is one of the best fantasy & science fiction writers alive today. What's crazy is that he's kept quality so high while writing ~5 books per year, and this interview is about how he does it. One guy on Reddit said: “Probably the best Sci-Fi/Fantasy author interview I’ve ever seen. Gives great insight into how Adrian Tchaikovsky approaches his novels." Timestamps: 0:35 How to plan a novel 2:27 The two types of outlining 7:07 What makes for a good idea? 8:09 Dragons 14:07 Building good characters 20:02 World building 25:09 A guide to science fiction 33:46 Fantasy vs. science fiction 36:38 How magic works in Sci-Fi 42:04 Writing good fight scenes 50:15 Avoiding writing ruts 59:07 How to improve your writing 1:03:07 Writing a good ending I've shared the full conversation with Adrian Tchaikovsky below. If you'd rather watch it on YouTube, or listen on Apple / Spotify, check out the reply tweets.

Adrian Tchaikovsky is one of the best fantasy & science fiction writers alive today. What's crazy is that he's kept quality so high while writing ~5 books per year, and this interview is about how he does it. One guy on Reddit said: “Probably the best Sci-Fi/Fantasy author interview I’ve ever seen. Gives great insight into how Adrian Tchaikovsky approaches his novels." Timestamps: 0:35 How to plan a novel 2:27 The two types of outlining 7:07 What makes for a good idea? 8:09 Dragons 14:07 Building good characters 20:02 World building 25:09 A guide to science fiction 33:46 Fantasy vs. science fiction 36:38 How magic works in Sci-Fi 42:04 Writing good fight scenes 50:15 Avoiding writing ruts 59:07 How to improve your writing 1:03:07 Writing a good ending I've shared the full conversation with Adrian Tchaikovsky below. If you'd rather watch it on YouTube, or listen on Apple / Spotify, check out the reply tweets.

David Perell

152,865 views • 9 months ago

I vibe coded a new product on the side while running Every 🪨—and today we're launching it for free. It's called Proof, and it’s a live collaborative document editor where humans and AI agents work together in the same doc. It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals. It's fast, free, and open source—available now at Why Proof? When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive. It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999. That’s why we built Proof. What makes Proof different? - Proof is agent-native. Anything you can do in Proof, your agent can do just as easily. - Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI. - Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor. How we use Proof Every 🪨: - Brandon Gell had OpenAI's Codex write a feature plan in Proof, then tagged my personal Claw (R2-C2) in Slack to review it. R2-C2 left feedback, I added comments, Brandon's agent revised the plan, and then Codex executed on it. Brandon submitted a PR to production without writing a line of code. - Austin Tedesco texts his Claw ideas while he's out on a run, then has it maintain a running Proof doc for his weekly food newsletter. He dictates drafts using Naveen Naidu's Monologue, writes into the outline himself, and uses the provenance gutter to track what's his voice vs. the agent's. - Kieran Klaassen uses it as a lightweight scratchpad for his compound engineering workflow. He brainstorms with an agent in the terminal, shares to Proof with one click, then opens the doc to leave comments and tells the agent to go work on them. His take: Proof's job is to communicate about writing and ideas. Proof is free, open source, and requires no login. I built the whole thing by vibe coding between meetings. I sat down with Brandon, Kieran, and Austin on Every 🪨's AI & I to demo it live and talk about how it's changing the way we work. If you're building with agents and need a better way to collaborate on text, this one's for you. Watch below! Timestamps Introduction and the origin story of Proof: 00:02:00 From Mac app to collaborative web editor: 00:07:24 What makes Proof "agent native": 00:09:00 Live demo—watching an agent join and write inside a shared document: 00:14:30 How Austin uses Proof for creative writing and food journalism: 00:20:51 The challenge of multiple agents editing one document simultaneously: 00:24:30 When AI-written docs are better read by agents than by humans: 00:26:48 Brandon's agent-to-agent collaboration loop: 00:29:30 Proof as a lightweight scratchpad versus existing tools like Notion and GitHub: 00:37:09 Why Proof is open source and what that means for builders: 00:42:18

I vibe coded a new product on the side while running Every 🪨—and today we're launching it for free. It's called Proof, and it’s a live collaborative document editor where humans and AI agents work together in the same doc. It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals. It's fast, free, and open source—available now at Why Proof? When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive. It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999. That’s why we built Proof. What makes Proof different? - Proof is agent-native. Anything you can do in Proof, your agent can do just as easily. - Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI. - Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor. How we use Proof Every 🪨: - Brandon Gell had OpenAI's Codex write a feature plan in Proof, then tagged my personal Claw (R2-C2) in Slack to review it. R2-C2 left feedback, I added comments, Brandon's agent revised the plan, and then Codex executed on it. Brandon submitted a PR to production without writing a line of code. - Austin Tedesco texts his Claw ideas while he's out on a run, then has it maintain a running Proof doc for his weekly food newsletter. He dictates drafts using Naveen Naidu's Monologue, writes into the outline himself, and uses the provenance gutter to track what's his voice vs. the agent's. - Kieran Klaassen uses it as a lightweight scratchpad for his compound engineering workflow. He brainstorms with an agent in the terminal, shares to Proof with one click, then opens the doc to leave comments and tells the agent to go work on them. His take: Proof's job is to communicate about writing and ideas. Proof is free, open source, and requires no login. I built the whole thing by vibe coding between meetings. I sat down with Brandon, Kieran, and Austin on Every 🪨's AI & I to demo it live and talk about how it's changing the way we work. If you're building with agents and need a better way to collaborate on text, this one's for you. Watch below! Timestamps Introduction and the origin story of Proof: 00:02:00 From Mac app to collaborative web editor: 00:07:24 What makes Proof "agent native": 00:09:00 Live demo—watching an agent join and write inside a shared document: 00:14:30 How Austin uses Proof for creative writing and food journalism: 00:20:51 The challenge of multiple agents editing one document simultaneously: 00:24:30 When AI-written docs are better read by agents than by humans: 00:26:48 Brandon's agent-to-agent collaboration loop: 00:29:30 Proof as a lightweight scratchpad versus existing tools like Notion and GitHub: 00:37:09 Why Proof is open source and what that means for builders: 00:42:18

Dan Shipper 📧

33,092 views • 6 months ago

Most PM job descriptions still ask for airtight PRD writing. The best AI teams have already stopped writing them. The reason is structural, not stylistic. A traditional PRD describes how a product should behave in specific situations. Gen AI products are expected to handle almost every situation, which makes that kind of document nearly impossible to write with any precision. The replacement is a pre baked set of trivia questions for the model, paired with an answer key that scores whether the response is actually good. Build a recipes app and instead of writing pages of edge cases, you write 100 prompts covering the ice cream flavors users might ask for, score the outputs, and use that offline set as a proxy for what real users will experience once it ships. Daniel McKinnon spent years as a PM on Llama at Meta and on Gemini at Google. He's been saying the same thing for two years now. Performance on that offline set is the best available signal for whether users will be satisfied. Score well offline, ship it, and let the online numbers confirm or deny the bet. The skill that used to separate strong PMs was writing a precise spec. Now it's writing a precise test. Most PM training hasn't caught up. Define the eval.

Most PM job descriptions still ask for airtight PRD writing. The best AI teams have already stopped writing them. The reason is structural, not stylistic. A traditional PRD describes how a product should behave in specific situations. Gen AI products are expected to handle almost every situation, which makes that kind of document nearly impossible to write with any precision. The replacement is a pre baked set of trivia questions for the model, paired with an answer key that scores whether the response is actually good. Build a recipes app and instead of writing pages of edge cases, you write 100 prompts covering the ice cream flavors users might ask for, score the outputs, and use that offline set as a proxy for what real users will experience once it ships. Daniel McKinnon spent years as a PM on Llama at Meta and on Gemini at Google. He's been saying the same thing for two years now. Performance on that offline set is the best available signal for whether users will be satisfied. Score well offline, ship it, and let the online numbers confirm or deny the bet. The skill that used to separate strong PMs was writing a precise spec. Now it's writing a precise test. Most PM training hasn't caught up. Define the eval.

Aakash Gupta

10,374 views • 2 months ago

"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:

"AI evals force you into the shoes of your user." I love this clip from (Director at Arize) on why evaluations are the top AI skill to build in 2025. In my new interview, Aman breaks down: - How to write evals like a pro - 5 AI product principles he swears by - How to start practicing evals now Some quotes from Aman: "All PMs will be AI PMs. You'll either build on top of LLM APIs, use models in your backend, or use AI tools to solve problems in your daily work." "The waterfall process of writing a PRD and handing it to designers and engineers is dead. Your dev cycle needs to be much shorter." "Imagine showing up to a meeting with a prototype instead of a PRD. That's the shift PMs will need to make to communicate better in this new AI world." 📌 Watch now:

Peter Yang

15,973 views • 1 year ago

Matt Haig is famous for writing "The Midnight Library" which sold more than 10 million copies and has more than 2.5 million reviews on Goodreads. He unapologetically writes for a big audience. That's a taboo thing to say in the writing world even though basically every writer wants more readers. So the question is: Are you betraying the craft if you explicitly try to reach as many people as possible? We also talked about how to tell better stories, how AI will change writing, and what to think about whenever you write a first draft. Timestamps: 0:29 How Matt writes his books 6:14 What AI can never copy 8:21 How books will change with AI 13:32 Short words hit harder 15:24 Why first drafts matter 19:52 What a story is really for 26:36 What to do when your books don't sell 36:22 Lessons from writing kids' books 45:31 There's always another level 50:37 Matt's relationship with publishers 53:13 Trust your own taste I've shared the full conversation with Matt Haig below. You can also watch the full thing on YouTube or listen on Apple / Spotify, and I've shared those links in the replies. Enjoy!

Matt Haig is famous for writing "The Midnight Library" which sold more than 10 million copies and has more than 2.5 million reviews on Goodreads. He unapologetically writes for a big audience. That's a taboo thing to say in the writing world even though basically every writer wants more readers. So the question is: Are you betraying the craft if you explicitly try to reach as many people as possible? We also talked about how to tell better stories, how AI will change writing, and what to think about whenever you write a first draft. Timestamps: 0:29 How Matt writes his books 6:14 What AI can never copy 8:21 How books will change with AI 13:32 Short words hit harder 15:24 Why first drafts matter 19:52 What a story is really for 26:36 What to do when your books don't sell 36:22 Lessons from writing kids' books 45:31 There's always another level 50:37 Matt's relationship with publishers 53:13 Trust your own taste I've shared the full conversation with Matt Haig below. You can also watch the full thing on YouTube or listen on Apple / Spotify, and I've shared those links in the replies. Enjoy!

David Perell

21,645 views • 1 month ago