Every Inc.’s cover photo
Every Inc.

Every Inc.

Online Audio and Video Media

New York, New York 2,852 followers

What comes next in business and technology. Subscribe to our newsletter to get new ideas to help you build the future.

About us

What comes next in business and technology. Subscribe to our newsletter to get new ideas to help you build the future—in your inbox, every day.

Website
https://bit.ly/every-to
Industry
Online Audio and Video Media
Company size
11-50 employees
Headquarters
New York, New York
Type
Privately Held
Founded
2020

Locations

Employees at Every Inc.

Updates

  • Every Inc. reposted this

    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.

    View organization page for Every Inc.

    2,852 followers

    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.

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  • 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.

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  • 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.

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  • As AI forces us to question the line between human and machine, physicist and bestselling novelist Alan Lightman bridges these worlds by finding wonder in both scientific explanation and spiritual experience. In the latest episode of AI & I, Dan Shipper explores with Lightman what it means to be human in the age of intelligent machines: - Why knowing the science behind spiderwebs and bubbles makes them more awe-inspiring, not less - How consciousness exists on a spectrum, from simple reflexes to complex self-awareness - The distinction between AI appearing conscious versus actually experiencing consciousness - His vision of "homo techno"—a future where we become hybrid organisms that are part human, part machine Want to hear more? Subscribe to Every’s channel on YouTube and watch the full episode linked in the comments below.

  • In a world obsessed with AI's existential threats, Dan Shipper focuses on a simpler truth: Language models are exceptionally good at handling repetitive tasks—and that alone is revolutionary. In his piece for Every Inc., Dan explains why "Don't repeat yourself" should be the mantra of our AI age: - The transformative power of having "10,000 Ph.D.s at your fingertips" - How language models reveal just how much repetition exists in our daily work - Why founders spend surprising amounts of time repeating themselves to investors, customers, and team members - How this shift leads to the "allocation economy"—where humans decide what matters while AI handles the rest Read more in the full article linked below.

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  • Since ChatGPT launched on November 30, 2022, OpenAI has added more users and generated more revenue than Google, Airbnb, Uber, and Facebook did in their first two years combined. The company’s recent $40 billion fundraise announcement confirms that OpenAI is a once-in-a-lifetime startup. In the latest issue of Napkin Math, Evan Armstrong examines what makes the AI company truly singular: - How the company has achieved 500 million weekly active users and 20 million paying subscribers since ChatGPT's launch - Why OpenAI defies Silicon Valley archetypes by excelling simultaneously as a research lab, consumer company, and B2B SaaS provider - The staggering capital intensity of its ambitions—projected to lose $44 billion by 2029 - Why this company represents a once-in-a-lifetime phenomenon, regardless of whether it achieves a trillion-dollar outcome or collapses entirely Read more in the full article linked below.

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  • Online forms are stuck in the checkbox era, while apps and websites have evolved to feel more dynamic and personal. Cassius Kiani is changing that with Freeform—AI-powered forms that adapt to users in real time. In the latest update from Every Studio, Cassius reveals how "vibe forms" are transforming digital interactions: - Why most forms are essentially matchmaking tools—connecting people with jobs, services, or products - How AI enables truly adaptive experiences that adjust questions based on tone and engagement - Why traditional form builders struggle to innovate—their legacy architecture can't support this fundamental shift - What early testing reveals: Forms that prioritize "vibe" are seeing significantly higher completion rates Try Freeform for yourself by signing up using the link below.

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  • The greatest advancements throughout history are often the result of combining the simplicity of the old with the innovation of the new. Eric Jorgenson has found this sweet spot by pairing traditional document tools with AI assistance. In his latest conversation with Scott Nover, the Scribe Media CEO reveals how he's integrating traditional writing tools with artificial intelligence: - Why he still uses Google Docs for writing and editing books while adopting Notion for knowledge management - How keeping an AI voice chat open during work creates a frictionless environment for deeper thinking - The way AI serves as an "inexhaustible source of feedback" when people would tire of answering the same question multiple ways - Where AI falls short: determining taste and emotional resonance—the human expertise that remains at the core of his publishing company Read more in the full article linked below.

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  • AI adoption meets creative resistance: In this week's Context Window, Alex Duffy explores how GPT-4o's native image generation sparked both joy and controversy, revealing the complex emotions that arise when AI makes creative expression effortless while raising questions about originality and exploitation. Here's what Every subscribers got in their inbox this week: KNOWLEDGE BASE "Vibe Check: OpenAI's GPT-4o Image Generation": Vivian Meng breaks down how OpenAI has integrated image generation directly into GPT-4o and shares some of the first impressions from the Every team. "How I Prompted My Way to Publish-ready Content": Lewis Kallow reveals the techniques behind Every's most popular @Spiral—a contrarian tweet generator—and shares four tactics for getting production-grade outputs from AI. "Analyzing the Fastest-Growing Software Category I've Ever Seen": Evan Armstrong examines how software engineers are the first to feel AI's disruptive effects, with companies like Cursor reaching mind-boggling revenue milestones in record time. "DIY Apps Are the New Myspace": Aleena Vigoda explores how the DIY customization culture of Myspace is making a comeback, thanks to tools like Notion and The Browser Company. "He's Using AI to Optimize His Life": In this week’s episode of the AI & I podcast, Rhea Purohit shares how Jonny Miller uses AI to enhance his meditation practice, create personalized coaches, and optimize his career. "Why Generalists Own the Future": Dan Shipper argues that the AI era is made for generalists—not those with shallow knowledge across many domains, but those with adaptability and curiosity that thrives in environments where rules are unclear. UPDATES FROM EVERY STUDIO Cora beta program: Join the crew to get early access to new features of Every's email management tool. Hiring with Freeform: Cassius Kiani's interactive form experience from Every Studio helped Kieran Klaassen hire Nityesh Agarwal, who was "absolutely floored" with the application process. Read more in the full article linked below.

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  • Does the future belong to the specialists or the generalists? We may finally have an answer. Dan Shipper challenges the conventional wisdom that specialization is the only path to success in the age of AI. In his piece for Every Inc., Dan reframes what it means to be a generalist: - A generalist is a curious, adaptable problem-solver thriving in uncertainty - Why generalists excel in what Dan refers to as "wicked" environments - The excellence paradox: AI may become more competitive as it excels in the same "kind" environments where specialists thrive - An extinction of specialists could bring about the ancient Athenian ideal of the well-rounded citizen Read more in the full article linked below.

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Every Inc. 1 total round

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