Every Inc.

OpenAI just released a new model—and it changes what AI can do for your work. The model is called o3, and it’s now available inside ChatGPT. It’s faster, more capable, and—most importantly—it can follow through on multi-step tasks without hand-holding. In this review, Every CEO Dan Shipper puts o3 to the test and shows what it enables real users to do: ✅ Summarize hours of meeting transcripts—and surface leadership patterns ✅ Research guests for a podcast or project, pulling from web, social, and archives ✅ Build a custom learning course that pings you daily with bite-sized lessons ✅ Analyze your company’s org chart and predict what kinds of products you’re structured to ship ✅ Help you work through books, code, even blurry photos—without needing perfect prompts If you’re exploring what AI could actually do for your job, this is a great place to start. Link in the comments.

Ease makes people uneasy. AI exposes that. Why? Because we’ve spent centuries treating visible effort as proof of value. And now, tools that make work look easy are forcing us to question what actually counts as work. Today in Working Overtime, Katie Parrott explores what happens when writers gets dropped—not for bad work, but because an AI detection tool flagged their human-written article as machine-generated. The real issue, she argues? The work didn’t look hard enough. This piece traces our obsession with performative effort—from Puritan labor ethics to Slack green dots—and asks what it might take to redefine productivity in an AI-assisted world. 🧠 Rethink what work is. 🔍 Look past the performance. ⚙️ Make ease a feature, not a red flag. Read the full piece here: https://bit.ly/44pQEW0

We’re used to thinking of creativity as a gift. But what if it’s more like a system—something you can understand, practice, and train? In her latest Learning Curve essay, Rhea Purohit draws on the work of cognitive scientist Margaret Boden to understand how creative thinking actually works—and how AI can support it. Boden identified three distinct types of creative thinking: → Combinatorial: remixing familiar ideas in surprising ways → Exploratory: finding new possibilities within a known space → Transformational: changing the rules of the space itself LLMs can support each mode by: • Speeding up iteration (shorter feedback loops = faster breakthroughs) • Acting as mirrors that reflect your thinking back to you • Helping you put language to patterns, preferences, and taste Creativity becomes more accessible when you understand its structure. This essay offers a grounded, science-informed way to get there. Link in the comments ⬇️

"How do you use AI in your work?" If you haven't heard this question on a performance review or job interview, get ready—it's coming. This week, Shopify CEO Tobi Lütke made waves by publicly sharing an internal memo declaring "reflexive AI usage" a baseline expectation for all employees. We wanted to know what someone who reads that memo should do next—so we asked Every's resident AI workflow expert, Alex Duffy. Alex spends hours every day advising businesses and individuals on effectively incorporating AI into their workflows—so he knows exactly how to turn broad expectations into actionable strategies. Today on Every: Alex shares a practical, step-by-step playbook for mastering AI at work.

"We needed to pop because most newsletters look the same—text on a white background." Lucas Crespo has been redefining what digital spaces can feel like through his work as Every Inc.'s creative lead. In the latest episode of AI & I, Dan Shipper sits down with Lucas to explore the philosophy behind Every's distinctive visual style: - Why "neoclassical pop art" became the foundation of Every's aesthetic—combining marble Greco-Roman statues with saturated colors - How AI is shifting design focus from execution to art direction and curation - The story behind Cora's design, which transforms email from chaos to calm through impressionist oil paintings - Why future websites might feel more like museums than efficiency-optimized hallways Want to hear more? Subscribe to Every’s channel on YouTube and watch the full episode linked in the comments below.

Email was supposed to be simple. Instead, it became an endless to-do list written by everyone else. Cora is an AI-powered email assistant that reimagines the inbox—not as a feed, but as a story. And with some fresh new features, there's never been a better time to become a Cora user. Here’s how it works: ✉️ You only see emails that need your response ✍️ We draft replies in your voice, with your context 🧠 Everything else gets summarized—twice a day, in a clear, calm brief Long story short: Cora delivers you from email. Now, some updates that are brand new today:  ✅ Progress View + Read Tracking Track how far you’ve made it through your Brief. Unread Briefs are clearly marked, and your inbox stays in sync—Cora automatically marks Briefs as read and removes them from your inbox. 🏷️ Labels Triage at a glance with minimal, helpful tags like “Needs Reply,” “Calendar Invite,” and “Newsletter.” ✅ Mark as Read/Unread Want to revisit a Brief later? One click lets you pick up where you left off. 🧪 Opt into Beta Features Want to test the latest features as they roll out? You can now turn on beta access in your settings. 🔮 What’s next? We’re expanding the Brief with summaries of archived emails and visibility into how Cora is managing your inbox. 📥 We’re continuing to onboard users from the waitlist. 📬 Not using Cora yet? Every members get free access. Sign up here to experience a smarter, calmer inbox: https://cora.computer/

Tina He is building at the cutting edge of AI. A voracious reader, she shared a few of the books that have inspired her and shaped her thinking: 1.) Turing's Cathedral by George Dyson: “Dyson’s nuanced retelling showed me the tangled history of computing—shaped by politics, war, and human ambition—and challenged my assumptions about tech as purely meritocratic.” 2.) “The Sacred and the Profane” by Mircea Ellade: “Eliade shows how deeply our lives are shaped by invisible structures of meaning—rituals, symbols, and sacred spaces—making you reconsider how even the most modern technology platforms subtly echo ancient patterns of human belonging.” 3.) “The Information: A History, A Theory, A Flood” by James Gleick: “Published over a decade ago, the book anticipated our struggles with information overload, digital entropy, and platform politics long before these issues dominated headlines.” 4.) “Poor Charlie's Almanack” by Charlie Munger: “I’ve long believed that investing is life, and life is investing. Munger's mental models didn't just help me think better; they allowed me to approach investing—and life—with rigorous intellectual honesty, humor, and a healthy skepticism of conventional wisdom. His emphasis on interdisciplinary thinking reaffirms the lifepath of an autodidact.” Read more in the full article linked below.

Had the opportunity to contribute ideas to one of my favorite publications — Every Inc. We’ve got to start designing everything with agents in mind. Because in addition to millions of humans, your customers will soon be billions of AIs that see the world in a totally different way.

While much of the world is still grappling with the introduction of ChatGPT, a small group of engineers is building products for a world where AI agents—not humans—are the primary users. In the process, there are billion-dollar businesses waiting to be built. Tina He leads developer tool products at Base, Coinbase's Layer 2 blockchain. Recently, Tina has been exploring a paradigm shift that she has witnessed first hand. As the technology has improved, AI agents are becoming independent decision-makers. Agents are performing business-critical roles like providing customer support, selecting vendors, and negotiating deals. The implications of this are massive. This reality is creating what Tina calls "agentic attention." It's a fundamental shift in how products get discovered and adopted. Unlike humans, who respond to flashy visuals or emotional appeals, agents focus their attention on underlying data and organized descriptions of webpages and products. In response, Tina and her team are taking an entirely new approach to building systems. Instead of optimizing for user experience, they're building developer tools catered to the agent experience. Early experiments at Base have shown a lot of promise. After restructuring their documentation for better AI visibility, they saw dramatic improvements in success rates. The shift is creating four massive opportunities for entrepreneurs... OPPORTUNITY 1: AI-optimized content systems The market needs CMS platforms built from the ground up for dual human-AI consumption. These systems need to automatically generate semantic metadata, optimize embedding structures, and interface with agent ecosystems. OPPORTUNITY 2: Composable tools marketplaces With Model Context Protocol (MCP) servers emerging, agents can now integrate with tools more efficiently. The entrepreneurs who build the definitive marketplace for agent-discoverable APIs will essentially create an app store for agents. OPPORTUNITY 3: Agent analytics platforms There's a glaring blind spot in how agent interactions are measured. Products that track agent behavior, embedding performance, and recommendation confidence will establish the benchmarks for this emerging industry. OPPORTUNITY 4: AI-to-AI negotiation protocols As autonomous systems increasingly negotiate with each other, they need standardized ways to interact. Companies like Stripe and Coinbase have released early tools, but there's much more work to be done. "'Agents as users and customers' isn't some far-off possibility—it's happening now," Tina explains. "Every week, more developers are using AI to find, evaluate, and implement APIs. More consumers are using AI assistants to make purchasing decisions." If the past decades of the internet were about capturing human attention, the next decade will be about earning agents' trust. Read Tina's full piece on Every Inc. (linked below) to learn how this shift demands new strategic preparation across organizations of all sizes.

In this week's Context Window, Alex Duffy brings good news: If you’ve tried using AI just once, you’re already ahead. In fact, about 66% of Americans have never used ChatGPT, creating a growing knowledge gap as AI capabilities rapidly advance. Here's everything else that Every subscribers got in their inbox this week: KNOWLEDGE BASE "OpenAI Is a Once-in-a-lifetime Startup": Evan Armstrong analyzes how OpenAI has excelled as a research lab, consumer tech company, and B2B SaaS provider. "Freeform Update: Why Vibe Surveys Beat Static Forms": Cassius Kiani provides an update on his AI-powered form builder that adapts questions based on responses, creating a more personal and immersive experience. "How a Google Docs Aficionado Embraced AI": Scott Nover catches up with Scribe Media CEO Eric Jorgenson, who describes how he's integrating traditional writing tools with artificial intelligence. "Being Human in the Age of Intelligent Machines": In this episode of AI & I, Rhea Purohit shares how MIT professor Alan Lightman examines the balance between scientific understanding and wonder, as well as our potential evolution toward "homo techno." "The Mantra of This AI Age: Don't Repeat Yourself": Dan Shipper argues that AI will usher in an "allocation economy" where value comes from deciding what matters most. UPDATES FROM EVERY STUDIO Spiral workshop: Danny Aziz is teaching a free workshop on transforming everyday interactions into content using Spiral. Cora Gmail labels: New dynamic labels now reveal which emails are being turned into to-do items, summarized into briefs, or flagged for follow-up. Sparkle v2 will be launching on April 15 with a cleaner interface, better file visibility, and dark mode. Want to get early access? Just email sparkle@every.to . Read more in the full article linked below.