Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

I have been hyping Brian Scanlan and Intercom to every eng leader I've spoken to since getting a behind the scenes look at how they 2x'd their productivity in their R&D org. In this week's episode of How I AI, Brian pulls up dashboards and tools and shows us...

clairevo's profile picture

claire vo 🖤

57,529 subscribers

12,834 Aufrufe • vor 3 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Before, being a CPO/exec meant lots + lots of meetings. Now I see a lot of my peers in leadership spend more of their time building + coding w AI. And TBH? They seem to be having a lot more fun. rachel wolan is CPO at Webflow exemplifies this "IC CPO" mindset in this week's How I AI, showing us: - the AI chief of staff she built for herself to run everything, from her calendar to networking prep - how she runs multiple Cursor instances, models, and Claude code interfaces depending on the task at hand - how "builder day" at webflow gets the whole team engaged in AI adoption This is one every CEO should send to their staff and ask: what are you (not just your team) building today? As always, big thanks to our wonderful sponsors: 🕵️ Graphite - Your AI code review platform (congrats on joining Cursor, friends!) 🎟️ Atlassian for Startups - From MVP to IPO Watch it here:
0:48

Before, being a CPO/exec meant lots + lots of meetings. Now I see a lot of my peers in leadership spend more of their time building + coding w AI. And TBH? They seem to be having a lot more fun. rachel wolan is CPO at Webflow exemplifies this "IC CPO" mindset in this week's How I AI, showing us: - the AI chief of staff she built for herself to run everything, from her calendar to networking prep - how she runs multiple Cursor instances, models, and Claude code interfaces depending on the task at hand - how "builder day" at webflow gets the whole team engaged in AI adoption This is one every CEO should send to their staff and ask: what are you (not just your team) building today? As always, big thanks to our wonderful sponsors: 🕵️ Graphite - Your AI code review platform (congrats on joining Cursor, friends!) 🎟️ Atlassian for Startups - From MVP to IPO Watch it here:

claire vo 🖤

11,969 Aufrufe • vor 7 Monaten

In one year, Intercom went all-in on Claude Code, doubling the throughput of their entire engineering and R&D org. Now 95%+ of daily code is AI-generated, with 1,000+ weekly users enabled across the whole company (including sales, marketing, and finance). Brian Scanlan shares how they got there and where they’re going next on the next episode of On Rails with host Robby Russell:
1:11

In one year, Intercom went all-in on Claude Code, doubling the throughput of their entire engineering and R&D org. Now 95%+ of daily code is AI-generated, with 1,000+ weekly users enabled across the whole company (including sales, marketing, and finance). Brian Scanlan shares how they got there and where they’re going next on the next episode of On Rails with host Robby Russell:

Ruby on Rails

29,593 Aufrufe • vor 3 Monaten

People always argue that AI writes terrible code & breaks in a real, large codebase. Well, episode 14 of How I AI will show you how AI can write high quality, production code for engineering teams of 100+ My pal Zach is an eng leader at LaunchDarkly and went from an AI sceptic to driving AI adoption in 6 months. In this ep he shows: 📑 how to structure docs in your repo so you DRY to your AI agents ✅ use AI to burn down tech debt 🙊 use ChatGPT to help you be a less conflict avoidant manager This ep is the “big company” sequel to Ryan Carson’s structured vibe coding ep and not one to miss. Big thanks to our sponsors: 🎩 WorkOS – Make your app enterprise-ready today 🛠️ Maven 🏛 – hands on AI education curated by Lenny Rachitsky and me!
0:59

People always argue that AI writes terrible code & breaks in a real, large codebase. Well, episode 14 of How I AI will show you how AI can write high quality, production code for engineering teams of 100+ My pal Zach is an eng leader at LaunchDarkly and went from an AI sceptic to driving AI adoption in 6 months. In this ep he shows: 📑 how to structure docs in your repo so you DRY to your AI agents ✅ use AI to burn down tech debt 🙊 use ChatGPT to help you be a less conflict avoidant manager This ep is the “big company” sequel to Ryan Carson’s structured vibe coding ep and not one to miss. Big thanks to our sponsors: 🎩 WorkOS – Make your app enterprise-ready today 🛠️ Maven 🏛 – hands on AI education curated by Lenny Rachitsky and me!

claire vo 🖤

82,224 Aufrufe • vor 1 Jahr

Sure, you can vibe code but have you ever shipped so much with AI you literally break GitHub? That’s what Chintan Turakhia and the team at Coinbase 🛡️ did as they pushed the edge of engineering with AI. This week, Chintan and I chat about how to get 1000s of engineers cooking with AI in real, production scale environments. You’ll see - how to use Cursor to build a mini app to drive more cursor adoption - his video/voice -> Linear -> Claude process for speed running user feedback - a new model for eng leadership where there’s more code than meetings Bonus: we get his hack on finding great wines based on scribbled tasting notes. Thanks to our awesome sponsors 💼 WorkOS - Make your app enterprise ready today 🐶 Atlassian Rovo - AI that knows your business Watch now:
0:54

Sure, you can vibe code but have you ever shipped so much with AI you literally break GitHub? That’s what Chintan Turakhia and the team at Coinbase 🛡️ did as they pushed the edge of engineering with AI. This week, Chintan and I chat about how to get 1000s of engineers cooking with AI in real, production scale environments. You’ll see - how to use Cursor to build a mini app to drive more cursor adoption - his video/voice -> Linear -> Claude process for speed running user feedback - a new model for eng leadership where there’s more code than meetings Bonus: we get his hack on finding great wines based on scribbled tasting notes. Thanks to our awesome sponsors 💼 WorkOS - Make your app enterprise ready today 🐶 Atlassian Rovo - AI that knows your business Watch now:

claire vo 🖤

72,638 Aufrufe • vor 5 Monaten

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:
0:46

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:

Peter Yang

39,600 Aufrufe • vor 6 Monaten

There are a few AI tricks I've learned that I've categorized as "life changing" and this is one of them: Hamel Husain teaching me how to start doing evals right, in the most simple, obvious, high-impact way. This episode of How I AI is for anyone still intimidated by the concept of evals. Hamel shows us: - How to "just look" at your model outputs - Binary system of quality categorization - What a good DYI eval platform looks like - Where little tweaks make a big difference I've been building an AI product for almost 2 years, and Hamel has been the first person to make evals accessible, understandable, and easy to execute. As I said: LIFE CHANGING As always, the biggest thanks to our amazing sponsors: 🫶 GoFundMe Giving Funds - One account. Zero hassle 🪪 Persona - Trusted identity verification for any use case
1:05

There are a few AI tricks I've learned that I've categorized as "life changing" and this is one of them: Hamel Husain teaching me how to start doing evals right, in the most simple, obvious, high-impact way. This episode of How I AI is for anyone still intimidated by the concept of evals. Hamel shows us: - How to "just look" at your model outputs - Binary system of quality categorization - What a good DYI eval platform looks like - Where little tweaks make a big difference I've been building an AI product for almost 2 years, and Hamel has been the first person to make evals accessible, understandable, and easy to execute. As I said: LIFE CHANGING As always, the biggest thanks to our amazing sponsors: 🫶 GoFundMe Giving Funds - One account. Zero hassle 🪪 Persona - Trusted identity verification for any use case

claire vo 🖤

47,712 Aufrufe • vor 9 Monaten

"The average employee spends 5 hours typing." Tanay is on a mission to change this with Wispr Flow, an AI product that I use even more than ChatGPT, Claude, and Gemini. In my new episode, he shares: → A live tutorial of how he uses AI voice to write and code 10x faster → How he got his brain-to-text device working and why he didn't ship it → How he built an AI product with 70% annual retention (unheard of!) by studying games Some quotes from Tanay: "We don't look at other software for inspiration because most are terrible at building habits. What I look at are games. In Mario, playing the game is the onboarding." "I told my board: We are no longer having ARR as a North Star metric. We're going to track habit formation instead." "Competency precedes passion. When I started coding at 9, I was a terrible programmer. But a year later, I was less shit." 📌 Watch now: Thanks to our sponsors: bolt.new - Create stunning apps and website with AI Linear - The best platform for agents
0:47

"The average employee spends 5 hours typing." Tanay is on a mission to change this with Wispr Flow, an AI product that I use even more than ChatGPT, Claude, and Gemini. In my new episode, he shares: → A live tutorial of how he uses AI voice to write and code 10x faster → How he got his brain-to-text device working and why he didn't ship it → How he built an AI product with 70% annual retention (unheard of!) by studying games Some quotes from Tanay: "We don't look at other software for inspiration because most are terrible at building habits. What I look at are games. In Mario, playing the game is the onboarding." "I told my board: We are no longer having ARR as a North Star metric. We're going to track habit formation instead." "Competency precedes passion. When I started coding at 9, I was a terrible programmer. But a year later, I was less shit." 📌 Watch now: Thanks to our sponsors: bolt.new - Create stunning apps and website with AI Linear - The best platform for agents

Peter Yang

31,798 Aufrufe • vor 8 Monaten

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:
0:41

While your team is just getting started vibe coding prototypes, the team at Stripe is vibe coding a full vibe coding platform. Owen Williams ⚡ is a design manager at Stripe who built Protodash - an internal AI prototyping tool that lets designers and PMs spin up real, clickable prototypes in minutes. In this ep he walks through: - why generic AI tools produce "blurple slop" that doesn't match your design system - how he built a full prototyping studio on top of dev boxes with cursor + cc - why more PMs than designers now use Protodash - the design review mode that lets teams ship feedback direct in the app Plus, we talk about getting to the ultimate dream: demos, not memos. ty to our sponsors! 🧠 CESAR - Intelligent automation built for AI 💻 Cursor - The best way to code with AI Full episode on yt:

claire vo 🖤

92,220 Aufrufe • vor 3 Monaten

"What you do is you prioritize the top few benchmarks and then you probably bullshit the rest." We talk a lot about how AI is making coding easier for non-technical folks, but don't hear much about how the most elite engineers are delegating their most technically complex work. Ankur Goyal (CEO Braintrust) and team has to deliver huge volumes of data at lightning fast speeds, which means they're always looking at ways to optimize their DB stack. The problem? Technical hypotheses are expensive and slow to test when your human team has to manually review, so you look at 1-2 things and then move on with your best guess. With AI, they're able to bring much more rigor to their most technical work. In this episode, he shows us: - how a coding agent can run a full matrix of benchmarks against ever open source column store; something no eng had time to manually do before - how to build evals the same way you'd write a PRD - how he uses his best engineer's "vibe check" as the gold standard, and scales it across the product as scoring functions This is an episode by engineers for engineers, where Ankur and I geek out on CEOs who code, brute force coding agents, and why you should be using AI to solve your hardest engineering problems. Watch now:
1:17

"What you do is you prioritize the top few benchmarks and then you probably bullshit the rest." We talk a lot about how AI is making coding easier for non-technical folks, but don't hear much about how the most elite engineers are delegating their most technically complex work. Ankur Goyal (CEO Braintrust) and team has to deliver huge volumes of data at lightning fast speeds, which means they're always looking at ways to optimize their DB stack. The problem? Technical hypotheses are expensive and slow to test when your human team has to manually review, so you look at 1-2 things and then move on with your best guess. With AI, they're able to bring much more rigor to their most technical work. In this episode, he shows us: - how a coding agent can run a full matrix of benchmarks against ever open source column store; something no eng had time to manually do before - how to build evals the same way you'd write a PRD - how he uses his best engineer's "vibe check" as the gold standard, and scales it across the product as scoring functions This is an episode by engineers for engineers, where Ankur and I geek out on CEOs who code, brute force coding agents, and why you should be using AI to solve your hardest engineering problems. Watch now:

claire vo 🖤

17,764 Aufrufe • vor 1 Monat

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:
0:58

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

314,081 Aufrufe • vor 1 Jahr

When I get asked by execs how to AI pill their team I tell them 3 things: - public token leaderboard - skills marketplace - everyone can cook John has done all three, and more, in his pursuit of turning everyone at Sendbird and Delight.ai into an "AI God" In this ep we cover: - how he's gamified AI at the company - turning marketers into the best builders on the team - why leaders have no excuse & should be consuming 100s of millions of tokens If you think your bar for AI adoption is high: think again. As always, ty ty ty to our great sponsors: WorkOS - Make your app enterprise-ready today ThoughtSpot - Build AI-powered analytics into your product: Full episode on YT:
1:08

When I get asked by execs how to AI pill their team I tell them 3 things: - public token leaderboard - skills marketplace - everyone can cook John has done all three, and more, in his pursuit of turning everyone at Sendbird and Delight.ai into an "AI God" In this ep we cover: - how he's gamified AI at the company - turning marketers into the best builders on the team - why leaders have no excuse & should be consuming 100s of millions of tokens If you think your bar for AI adoption is high: think again. As always, ty ty ty to our great sponsors: WorkOS - Make your app enterprise-ready today ThoughtSpot - Build AI-powered analytics into your product: Full episode on YT:

claire vo 🖤

13,168 Aufrufe • vor 3 Monaten

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
0:31

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,850 Aufrufe • vor 1 Jahr

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:
1:12

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:

claire vo 🖤

50,362 Aufrufe • vor 3 Monaten

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 Aufrufe • vor 1 Jahr

"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:
0:39

"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:

Peter Yang

29,149 Aufrufe • vor 1 Jahr

"We write very few specs on the Codex team. We're talking 10 bullet points and that's it." Here's my new episode with Alexander Embiricos and Romain Huet where they gave me an inside look at how OpenAI's Codex team operates: → Live demo: Building in seconds with Spark → How the team built the beautiful Codex app → How they ship without traditional specs and roadmaps Some quotes from Alex and Romain: "The fewer people you need in a room to do anything, the more pure every decision is." "Our designers write more code now than was written by an engineer six months ago." "I'm much less likely to read someone's resume than their ideas and what they've built." Thanks to our sponsors: Granola: The best AI meeting notes app I've ever used Linear: The AI agent platform for modern teams 📌 Watch now:
0:41

"We write very few specs on the Codex team. We're talking 10 bullet points and that's it." Here's my new episode with Alexander Embiricos and Romain Huet where they gave me an inside look at how OpenAI's Codex team operates: → Live demo: Building in seconds with Spark → How the team built the beautiful Codex app → How they ship without traditional specs and roadmaps Some quotes from Alex and Romain: "The fewer people you need in a room to do anything, the more pure every decision is." "Our designers write more code now than was written by an engineer six months ago." "I'm much less likely to read someone's resume than their ideas and what they've built." Thanks to our sponsors: Granola: The best AI meeting notes app I've ever used Linear: The AI agent platform for modern teams 📌 Watch now:

Peter Yang

290,644 Aufrufe • vor 4 Monaten

A few weeks ago I put out a call for CEOs that are *actually* using AI, not just sending AI memos. Ofc Wade Foster (CEO Zapier) was the first to raise his hand. Wade is truly a AI-native CEO, and in this week's ep he shows us: - how to reverse engineer company culture from Granola transcripts - his Zapier interview rubric agent that gives structured feedback on every candidate - and how to use Grok (YES, grok!) to source talent If you're looking for non-technical, leadership focused use cases for AI - this is a must watch. This episode is brought to you by our amazing sponsor 🧠🤑 Brex - The intelligent finance platform built for founders Watch it here:
1:04

A few weeks ago I put out a call for CEOs that are *actually* using AI, not just sending AI memos. Ofc Wade Foster (CEO Zapier) was the first to raise his hand. Wade is truly a AI-native CEO, and in this week's ep he shows us: - how to reverse engineer company culture from Granola transcripts - his Zapier interview rubric agent that gives structured feedback on every candidate - and how to use Grok (YES, grok!) to source talent If you're looking for non-technical, leadership focused use cases for AI - this is a must watch. This episode is brought to you by our amazing sponsor 🧠🤑 Brex - The intelligent finance platform built for founders Watch it here:

claire vo 🖤

53,012 Aufrufe • vor 7 Monaten

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.
4:16

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

27,176 Aufrufe • vor 1 Jahr