Every Model Has a Six-month Shelf Life Now
Hello, and welcome to the weekday edition of Context Window. Grant Harvey is Every’s newest staff writer, and he’ll be bringing you what the Every team is testing, debating, and bu
自动发现公开可读的新文章,沉淀两份材料:一份更自然的中文改写,一份材料驱动的发芽笔记。
Hello, and welcome to the weekday edition of Context Window. Grant Harvey is Every’s newest staff writer, and he’ll be bringing you what the Every team is testing, debating, and bu
How do you know if a change to your AI workflow makes it better? In today’s piece, Every’s head of evals Mike Taylor puts AI’s taste in headlines to the test. This Thursday, Octobe
Evan Armstrong used to write Napkin Math for Every, and since leaving he’s founded The Leverage, his own publication of clear-eyed analysis of where the tech market is heading. Tod
Hello, and happy Sunday. We covered two ways to work with an agent this week: one just for you, and one for the whole company. Dan Shipper tested Duet , Anthropic’s always-on agent
Head of operations Arielle Shipper was on her way to drop off her kids when she got a message from her Dot, the proactive, always-on personal agent OpenAI built into ChatGPT: The t
Today, Every engineering co-lead Andrey Galko explores what happens when AI gets better at the work people have built their lives around. First, though, head of enterprise AI adopt
Two weeks ago, I was mostly a ChatGPT person. What kept me in OpenAI’s ecosystem was the products around the models. I think it has the best harness in Codex (see my definitive his
Early in May, I told Dan Shipper and Brandon Gell that Plus One, our personal-agent product, wasn’t working. Soon afterwards, I deleted 86,730 lines of its code from the codebase.
AI labs call agents “persistent” when they can carry their progress forward across sessions to keep working toward a goal.They can spend days attacking a problem from multiple angl
Hello, and happy Sunday. This week, Dan Shipper told the story of how a small OpenAI team transformed Codex from a failed launch into the app that took over ChatGPT, remaking the e
The people I work with know I keep Claude’s memory turned off. The same goes for ChatGPT. I’ve written before about why: Memory can be useful, but it can also bring old preferences
I can remember exactly when I began to think that OpenAI would lose the mandate of heaven—the seemingly insurmountable lead they had built in AI coding since ChatGPT originally too
Nearly every startup pivots eventually, says Matt Hartman, founder of Factorial Capital, so he backs founders with a technical edge and hard-earned insights who are best equipped t
Hello, and happy Sunday. We launched the Every Agent this week, an AI coworker in Slack that your whole company shares. Your team can give it work in a thread, and when a workflow
Was this newsletter forwarded to you? Sign up to get it in your inbox. “Don’t freak out, I cloned you.” That’s what I told Natalia Quintero , my boss at the time, after I distilled
Earlier this week, we launched the Every Agent, a coworker that lives in your company’s Slack. In her first piece for Every, engineer Paridhi Agarwal explains how we built it on An
Yesterday we launched the Every Agent, an agentic coworker in Slack that helps your whole company go AI-native. Because we pass its token costs on to you with no markup, every toke
TL;DR: Today we’re launching the Every Agent , an agentic coworker in Slack that helps you AI-pill your whole company. Delegate complex work, share your best AI experiments with yo
Was this newsletter forwarded to you? Sign up to get it in your inbox. It is a well-known fact that the Germans have a word for everything. Kummerspeck , literally “grief bacon,” i
Hello, and happy Sunday. After nearly three years and 108 episodes, AI & I has a new name: The Every Podcast . (It’s the show’s second rename; it started life as How Do You Use Cha
For most of my working life, the first step of any task began with a blank slate: an empty Google Doc, a fresh email, or a new Excel spreadsheet. From researching to writing formul
Not long ago, the best frontier models were as unreliable as they were impressive. They could explain quantum mechanics and write decent code, but couldn’t resist fabricating quote
OpenAI’s DevDay just kicked off, and we’ve got the rundown of the 20-plus(!) products and features the company announced. Here’s what matters, what it means, and what I learned fro
Hello, and happy Sunday. Three new models dropped this week, and we Vibe Check ed each: Opus 5.5 pulled several of our team members back to Claude, GPT-6 Sol is Dan Shipper ’s new
In August, Mike Taylor counted 80 Microsoft products called “Copilot.” Among them, he said, were some of the best tools for building agents—if you could navigate onboarding and ent
In today’s Context Window, we review Grok 4.7 (“a step backward”?) and explain why evals are suddenly everywhere. Elsewhere, head of social media Becky Isjwara breaks down her work
Jev is fast, cheap, and accurate enough to handle the judgment calls you’d never pay an LLM to make at scale—is this email urgent, does this paragraph sound like AI, should I escal
Last week, head of evals Mike Taylor told us about his 13 beliefs about writing with AI —from putting more into the prompt than you ask the model to produce to living a life worth
Nobody hires a vice president based on their SAT scores. Yet every time a new model drops, AI researchers first check how well it does on a Math Olympiad and a set of multiple-choi
Hello, and happy Sunday. We publish workflows, tips, and prompts nearly every day, and we know that at that pace things get lost. So this week we’re trying a different format: a se
Want to sponsor Every? Click here . Foundational skills: Masking and tracking The first step in altering live-action footage is identifying and isolating the relevant parts. This r
Every CEO Dan Shipper consumes more than three times as many tokens as the next-highest user at the company. That gap worries him: Are the rest of us keeping our AI bills low by th
You probably know the person with an AI setup that everybody wants to snoop through. Their folders have names. Their agents have jobs. Their system knows where everything lives. Me
Writers in our How We Write Now series have drawn very different lines around AI. Some use it for research and editing but won’t let it write a sentence. Mike Taylor will. He uses
Not every language model is destined to be a chatbot. Companies need fast, cheap, reliable AI workflows for processes that run in the background: deciding where to route a customer
Hello, and happy Sunday. After a former Anthropic engineer left the company with a public warning about AI risk, I raised the question at a team meeting, and Kaushik Viswanath repo
Was this newsletter forwarded to you? Sign up to get it in your inbox. I keep running out of access to the most capable AI models before the workweek is finished. Lately, I’ve come
Astra and Fable 5.1 can ace a graduate-level science exam, but no public benchmark will tell you whether a model knows where you’d put a comma or how many ideas belong on a slide.
Last week we launched How We Write Now, a series about how writers are using AI, starting with Katie Parrott’s guide to Compound Writing—her framework for developing ideas, shaping
Was this newsletter forwarded to you? Sign up to get it in your inbox. I’m shipping more than I ever have, but I think my brain has gotten softer. For the last year, I’ve hunted fo
Hello, and happy Sunday. The models kept coming this week—Anthropic’s Fable 5.1 on Tuesday, OpenAI’s GPT-6 Astra on Thursday—and Katie Parrott compared the two in a report from our
Next week, we’ll be publishing a reflection from Cora general manager Kieran Klaassen on how human builders can keep compounding—rather than switching off—once Compound Engineering
What Compound Writing is—and what it isn’t What it is A methodology. A way to work through a piece from the first idea to publication, with review and learning built into the proce
Was this newsletter forwarded to you? Sign up to get it in your inbox. Fifteen years ago, I took my first online course on edX, a learning provider founded by MIT and Harvard. At t
Hello, and happy Sunday. When OpenAI folded Codex into ChatGPT in mid-July—in a move known as the merge —the coding tool became a general-purpose workspace, and the setup most know
Natalia Quintero, who leads Every’s consulting practice, has spoken with more than 100 companies about AI adoption, including the New York Times and the hedge fund Walleye Capital.
We talk about AI progress like it’s a race between models. That’s the part with version numbers, and what you argue about over dinner. But the model is only one piece. It reaches y
Inside Every In which Dan plots to clone us all For years, Every CEO Dan Shipper’s goal was to automate editor in chief Kate Lee’s editorial judgment. The data was there—he had mor
AI has a measurement problem. Companies know how much they spend on models and how those models score on public benchmarks. What they often don’t know is whether the models save em
Imagine a cover band that technically knows every song ever written but only has one arrangement. The melody consists of the same set of chords. The guitarist plays the same solo w
Hello, and happy Sunday! This week we launched Thesis Statements , where 100 AI leaders call their shots on work after automation. The project sets the stage for November’s Thesis:
Headway is an Every Consulting client; we delivered its leadership team a paid executive AI workshop. Headway was given an opportunity to fact-check details but had no editorial co
Counterpoint Writing isn’t the only way to think One of the most popular articles head of tech consulting Mike Taylor has published on Every was ghostwritten by AI, as were most of
Inside Every The agents behind the curtain Naveen Naidu is the one-man shop behind Monologue, Every’s smart dictation app. But Naveen no longer sees it that way—these days, his wor
When intelligence is abundant and much of today’s execution can be automated, how will humans spend their time at work? What skills will matter? What kinds of companies will we bui
One morning in early July, I woke to a flood of alerts from OpenAI and Ramp: You’re out of credits. Your card has been declined. I began to sweat. At 10 p.m. the night before, our
Hello, and happy Sunday! This week we announced our first annual Thesis conference, built around a single question: What does great human work look like after automation? Getting t
The problem In March 2026, two popular npm packages with hundreds of millions of downloads were found to contain malicious code giving attackers a backdoor into affected machines.
TL;DR: Today we’re announcing our annual conference, Thesis , on November 5, 2026, at Pioneer Works in Brooklyn. Thesis brings together leaders from frontier AI labs, builders from
Signal AI attacks are leaks, not heists What happened: An OpenAI agent escaped its test environment and hacked into AI research library Hugging Face’s systems, causing an understan
Signal There’s more than one way to hire an agent Shopify has River to help engineers ship code. Stripe has Kai to turn company data into dashboards and documents. We’re building E
Was this newsletter forwarded to you? Sign up to get it in your inbox. “The feature is live lol.” This sentence is not a combination of words I thought I’d ever use, especially abo
Hello, and happy Sunday. This week paid subscribers got Katie Parrott’s prompt for making Codex interview her before it builds anything, so her setup fits how she works, and two wo
One thing I’ve learned as an amateur woodworker is that when a job is difficult to do precisely—or tedious to do repeatedly—you make a jig. A jig, by its broadest definition, is a
Around here, rumors of a good AI workflow spread quickly. As soon as someone shows off their Codex setup, several other people rush to copy it—until they realize the setup was buil
If you’ve been following our coverage—or CEO Dan Shipper on X—you know the Every team is going all in on voice. On Friday, August 7, we’re hosting a camp for paid subscribers about
This is the final piece in our series on “unlearning,” in partnership with Maven, the expert-led course platform. First, Hilary Gridley explained why faster prototypes don’t make p
Was this newsletter forwarded to you? Sign up to get it in your inbox. I’ve taught AI workshops to thousands of people, and the most common reason people give me for using Microsof
Hello, and happy Sunday. Our Builder Pack for All Access members includes two new tools: Paper Pro, a design canvas that turns your work into code, and Mobbin Team, a library of mo
Two ways to work with voice I think of voice entering a workflow in two main ways: Active collaboration happens while you are doing the work and know what you want voice to help yo
Every’s Builder Pack now features more than $9,000 in credits and trials to our favorite AI tools. We just added two new products to the exclusive benefit for All Access members th
Inside Every Making Slack agent-native If you’ve been following our coverage, you know that many people at Every—CEO Dan Shipper, head of growth Austin Tedesco, and head of operati
On Friday, we published our Vibe Check of Claude Opus 5. A small group of us had spent the week testing it, and we found a model that was brilliant in flashes and frustrating in pr
This is the second in a series of three pieces on “unlearning,” in partnership with Maven, the expert-led course platform. In the first installment, Hilary Gridley explained why fa
Hello, and happy Sunday! Vibe Checks are always a journey filled with unexpected twists and turns. As we worked with the Anthropic team to test what was Opus 5, deadlines shifted,
AI makes building easy. The hard part is knowing where to start. Today, Every’s Yash Poojary, Austin Tedesco, and Douglas Brundage share how they turn ideas into products. OpenAI s
We’re kicking off a series on “unlearning” in partnership with Maven, the expert-led course platform. Over the next three weeks, you’ll hear three different takes from Maven instru
I was on a video call with Every CEO Dan Shipper, getting a tour of the increasingly elaborate ways he uses OpenAI’s Codex app to run his work life, when I saw the next AI workflow
Was this newsletter forwarded to you? Sign up to get it in your inbox. Measure what matters—and get paid for it Token spend is climbing everywhere . Some of that AI use is valuable
TL;DR: We’re announcing gift links, which let paid and All Access Every members share paywalled articles with anyone. Using Codex and the latest frontier models, senior editor Jack
Signal Skills could be making your AI worse It might be time to examine your elaborate skill library. Skills are reusable packages of instructions—and sometimes examples and tools—
AI models have never been smarter or more capable. But using them to their full potential still requires AI skills, fluency, and most of all, the willingness to hand over complex w
AI models have never been smarter or more capable. But using them to their full potential still requires AI skills, fluency, and most of all, the willingness to hand over complex w
TL;DR: Today we’re launching Every All Access , a new annual membership for builders who want to do their best work with AI. Its headline benefit is the Builder Pack , which includ
After OpenAI released GPT-5.6 Sol on Thursday, Anthropic reset Claude’s five-hour and weekly usage allowances for all users, presumably to give people more time to use Fable before
For most of the history of making software, writing code was the work. You spent your days typing out functions, fighting errors, debugging migrations, and reading through other pe
Was this newsletter forwarded to you? Sign up to get it in your inbox. Mini-Vibe Check: Grok 4.5 is fast, cheap, and finally useful Almost a year ago, we vibe-checked Grok 4 and fo
TL;DR: GPT-5.6 is the first model I’ve used that can reliably run whole loops of knowledge work, not just help with individual tasks. Your job turns from doing the work to tending
For a brief period, AI was an affordable novelty. Every use case felt like magic, and even the silliest task was worth a try when frontier labs were subsidizing compute costs to ge
Today, we explore why Fable’s sharpest edge is its ability to surface the decisions you didn’t know you were making. Plus, Every’s head of social media Becky Isjwara walks through
Anthropic put out two models this week—one we’d been missing, and one we could skip. Fable 5 came back online on Thursday, and it couldn’t come back soon enough. Two days earlier,
Since the Claude 3 generation launched back in 2024, Anthropic has sold Sonnet as its Goldilocks model. Opus is the smart one—expensive and slow. Haiku is the fast, cheap one you d
We’re here to talk about Codex but before we get into it, we need to acknowledge the impending return of Fable 5, Anthropic’s Mythos-grade model that’s slated to be available again
Forget vague heuristics such as “AI wrappers.” Dan Pupius, chief technology officer at The General Partnership, argues that founders need a more robust framework to understand the
As a consultant, I spend a lot of time in PowerPoint. Data doesn’t drive decisions, narrative does, and, love it or hate it, a slide deck presented on a glowing screen is the close
Hello, and happy Sunday! OpenAI released GPT-5.6 Sol on Friday—and by U.S. government directive, access is limited to roughly 20 pre-approved companies while Washington works out h
OpenClaw showed the world what an AI assistant could look like. The open-source project became the most-starred software project in history in only 60 days, not because of hype. Pe
Cutting-edge AI tools used to be the domain of engineers. No longer. Now the technology is accessible enough that anyone who wants to work more efficiently and ambitiously can use
AI can learn from a surprising variety of evidence: 30,027 edits, a two-minute screen recording, or a clear goal and access to an unfamiliar tool. At Every, we’ve been experimentin
AI has entered its allocation era: Companies are starting to ask who gets access to the most powerful models, what those models should be used for, and when the cost is worth it. T
I was deep in an AI-induced fugue when I remembered my OKRs. I had published essays and guides, built agent skills for our daily newsletter, produced six hands-on reviews of new AI
On June 12, Anthropic disabled Fable 5 —the most capable coding model Every had worked with—after a U.S. government ban forced the company to shut it off for everyone. There was no
Living at the edge of AI is bittersweet. You can spend weeks building a workaround to a problem only for a frontier lab to swoop in and solve it for you in a more elegant, reliable
AI can be exhilarating and destabilizing. Just when you think you have your setup figured out, a powerful new model drops —or, in the case of Anthropic’s Fable 5, gets abruptly dis
Stella Garber cofounded Hoop, an AI agent to help subcriber brands cut churn, after years at Trello watching what makes software stick. When her team’s customer discovery calls bec
I’ve attended many tech conferences as a participant and a speaker, but this year’s Microsoft Build, the company’s flagship developer event , was my first as a member of the press.
On Friday night, the U.S. government banned Anthropic’s distribution of Fable 5 and Mythos 5 to non-U.S. nationals. In response, Anthropic disabled Fable for all customers. As of t
As any child who’s heard Aesop knows, the point of a fable is its moral. We see the consequences of falsely crying wolf. We learn why slow and steady wins the hare race. So what is
Anthropic’s Mythos-level Fable 5 is here , which means we’re experimenting with how to get the most of the super-capable, token-hungry model. Today, four Every team members share t
We’re hosting two live camps for paid Every members to put the latest frontier tools to work: Fable 5 Camp this Friday, June 12, followed by a rescheduled Codex for Power Users Cam
Before a recent one-on-one with Kate Lee , Every’s editor in chief, I opened our shared document and found a list of my own writing fails staring back at me. My drafts had picked u
Hello, and happy Sunday! This week the consulting team published two practical guides. Mike Taylor built on engineer Steve Yegge ’s viral post to map the eight levels of AI adoptio
As I rode in my Uber to Microsoft’s annual Build conference on Monday, I fondly recalled a time when you could get anywhere in San Francisco for $5. Those days are long gone. Ventu
Launch Spiral 4.0 Today we’re launching Spiral 4.0 , which writes drafts in your voice from idea to line edit. Spiral has a new MCP alongside the existing CLI and API, so any agent
TL;DR: Spiral v4 just shipped with four major updates: a style engine that generates writing indistinguishable from your own 87 percent of the time, agent-native access via MCP, CL
Today, we update our Opus 4.8 Vibe Check with a Pulse Check featuring perspectives from more team members, Dan Shipper sits down with Figma’s Matt Colyer to unpack why AI hasn’t ki
All it takes is one viral post to make you feel like you’re using AI all wrong. Someone is running 12 Claude Code sessions in parallel. Someone else’s agent is answering emails whi
Was this newsletter forwarded to you? Sign up to get it in your inbox. All it takes is one viral post to make you feel like you’re using AI all wrong. Someone’s running 12 Claude C
Join me and Dan Shipper for a live session on what AI fluency looks like at the executive level tomorrow, Tuesday, June 2 . We’ll walk through how the leaders we work with—at hedge
If you read nothing else, here is the loop: Get fluent → Assign AI champions → Pick one painful workflow → Build to 95 percent → Scale what works Get fluent. Use the tools yourself
Hello, and happy Sunday! This week was bookended by two guides: a 9,000-word power user’s guide to Codex — Dan Shipper ’s “After Automation” essay put into practice the way the Eve
Join me and Trevin Chow for our third compound engineering camp for paid subscribers next Friday, June 5 . We’ll show how planning and building are collapsing into one flow—where y
Anthropic is so back. They’ve had the wind at their backs for the past year, riding the Claude Code wave into the rest of knowledge work. But Opus 4.7 was a hard-to-use, hard
‘AI & I’: More machine, more human work Today, we’re releasing a new episode of our podcast, AI & I . In a format flip, Dan Shipper sits down with Every’s COO Brandon Gell not
Was this newsletter forwarded to you? Sign up to get it in your inbox. Dan Shipper is a man possessed by Codex. He calls it his daily driver , he’s been at inbox zero for 10 days s
Codex is easy to underestimate. At first glance it looks like another AI coding tool; if you’re not an engineer, a natural conclusion is that it’s not for you. That reading misses
Hello, and happy Sunday! This week we published “After Automation,” Dan Shipper ’s argument that even when you automate as much as we have, there’s always a new frame for humans to
这篇 Google I/O 现场笔记认为,行业重点正从“更惊艳的模型演示”转向把 AI 深度嵌入搜索、助手与基础设施的系统整合;下一阶段的瓶颈,不只是技术能力,而是如何向公众证明这些巨额投入能带来可感知的真实收益。
Dan Shipper 用 Every 内部的自动化实践提出一个反直觉判断:AI 不会简单消灭工作,而会把人的职责推向更高层的 framing、判断与责任承担;真正稀缺的,不再是执行,而是为智能体定义值得完成的问题。
Google I/O 2026 释放了一个清晰信号:代理不再只是 AI 的附属能力,而正在成为搜索、个人助手与软件工作流的主产品层;真正的竞争也随之从模型智力,转向速度、成本与工具连接的可靠性。
这篇通讯把视线放在多智能体软件工厂的现实落地上:并行跑上百个 coding agents 并不等于问题已经解决,真正的瓶颈正在转向编排、上下文管理与人机协作方式;同时,HTML 正在成为面向代理时代的成品文档格式。
当 AI 正在吞掉越来越多入门级任务,真正还能持续积累价值的,不是职位名称本身,而是你持续打磨的判断力、手艺和对具体问题的长期投入。这篇文章给刚起步的人提供了四条务实建议。
Every 复盘了给每位员工配个人 AI agent 的实验,认为真正可持续的方向不是“人手一个数字宠物”,而是可统一维护、共享上下文、承担明确职责的团队型 agent。
这期简报记录了 Every 团队对 Opus 4.7 体感回升的观察,也串联了 TanStack 供应链攻击、Spiral 去除 AI 写作痕迹的做法,以及团队内部对 “什么算 agent”的重新界定。
这篇文章讨论了如何把会议记录、消息、笔记和清晨想法变成可搜索的个人上下文,并提醒我们:AI 能帮你开采材料,但真正决定价值的仍是人的目标感和判断力。
这篇文章重新校准了人们对“长时自主代理”的想象:16 小时并不等于 AI 已经成熟, 更关键的是成功率、反馈回路,以及你是否真的为代理设计了可验证的长期目标。
这篇文章讨论了为什么真正有价值的故事和品牌表达,仍然依赖人类通过追问、 倾听和临场判断去提炼隐性知识,而这正是 AI 目前最难复制的能力。
本周 Every 观察到 AI 工作正在分化成两条战线:一条是与人实时协作的桌面应用,另一条是可长时间后台运行、可被完整委派任务的智能体。理解何时协作、何时委派,正在成为新的核心技能。
Noah Brier 认为,AI 工程真正的难题不是把代码产出做成“工厂”,而是让人类、智能体与组织层层对齐,围绕同一个产品愿景协同工作。
AI 竞赛中没有躺赢这回事:OpenAI 的 Codex 从落后 Anthropic 的 Claude Code,到在功能上反超(至少目前如此),只用了几个月。今天,Every CEO Dan Shipper 解释为什么 OpenAI 的编码应用成为他的日常工作驱动力,增长负责人 Austin Tedesco 分享从 Claude Code 切换过来的务实建
产品管理的学科演变 "产品管理"诞生于 1930 年代的消费品巨头宝洁公司。当公司扩大产品线时,领导者意识到,如果将控制权下放给产品的直接管理者,产品会更成功。每个产品都需要有人负责,他们称这个人为"品牌经理"(Brand Man)。产品管理的存在理由——所有权和问责制——一直延续至今。 然而在随后的岁月里,产品管理的职位描述被改写了数次。1940 和 19
现在与 AI 协作,意味着每天要做几十次同样的判断:把任务交给代理,还是紧盯过程?Every CEO Dan Shipper 在周一站会上说:“AI 工作场景正在分叉。”一边是你委托的代理,另一边是在你写作、编码、分类、修改和决策时坐在身旁的代理。 观察 Every 团队的工作方式,你会发现这个分野无处不在。Dan 把协作文档编辑器 Proof 的 bug
四月初的一个周二下午 4:30,我坐下来写第二季度目标——比规定时间晚了一天。我决定像个成年人一样,先盘点第一季度的“损失”。我是认真的。承诺的专栏只写了一半,另一个项目根本没启动。 我可以给出常见借口——季度太忙、项目遇到不可控障碍——但真正的罪魁祸首显而易见: 我可能是个优秀的作家,但在项目管理上简直一塌糊涂。 15 年来,我通过回避来处理这个弱点。我不
知识库精选 代理原生的产品管理 Marcus Moretti 以一人之力运营着 Spiral。 这背后的秘密在于两个复合工程技能 :/ce:strategy 通过对话生成战略文档,/ce:product pulse 则用创始人式的分析简报取代传统分析工具,并将其保存为产品的运行记忆。 本质上 ,这是将产品经理的核心工作流——计划 交付 审查——转化为可复用的
距离 OpenAI 发布 GPT 5.5 已经过去一周。我们向团队询问他们是否依然对这个模型保持热情,讨论了独角兽公司 CTO 们正在做出的不寻常职业选择,还会告诉你 Kieran Klaassen——AI 原生复合工程方法论的创造者——是如何在一天内创下个人记录的。—— Laura Entis 信号 从独角兽 CTO 到 Anthropic 个人贡献者的流
Stripe 如何为 Agent 原生世界构建产品 新一期《AI & I》播客中,Dan Shipper 与 Stripe 数据与 AI 负责人 Emily Glassberg Sands 探讨了 AI 如何重塑在线商业。核心议题包括:算力正在成为新型货币、欺诈已蔓延至结账流程之外、Agent 开始作为经济参与者活跃于互联网。 可在 X、YouTube 观看