AI work, explained from the inside.
AI & I is a conversational interview show about how AI is being used in real workflows, not just imagined in the abstract. Episodes move from model design and agent-native products to editing systems, startup incubation, document collaboration, and AI-powered schoolwork.
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AI & I is a show about AI after the first wave of novelty has worn off. It spends time with people who are already changing their work around the tools. The conversations are technical, but they keep circling back to the scene on the ground. What does the dashboard look like? Who edits the draft? Where does the agent live in Slack? How does a product team decide what an AI system should not do? That practical pressure gives the show its shape. Eve’s episode on energy-based models pushes beyond the assumption that intelligence must be framed as language, using navigation, vision, and bodily movement to explain why next-token prediction can be a poor fit for some tasks. The workplace episodes take the opposite angle, staying close to the mess of adoption. Willie and Brandon describe agents that become known inside an organization, reflecting the person who uses them and changing how trust moves through a team. Kate’s conversation brings AI into editorial work, where a style guide, draft review, and human taste all matter more than a generic writing assistant. The product conversations are just as grounded. Linear becomes a way to talk about software as the place where humans and agents coordinate, while Mike Krieger’s episode frames agent-native product design as a question of judgment, restraint, and speed. The show is not allergic to excitement. It is also not satisfied with slogans. A recurring move is to pause an abstract claim and ask for the workflow underneath it. That makes the show especially useful for builders, editors, founders, product people, and technically curious creatives who want to hear how AI is actually being absorbed into teams. It also gives space to social consequences, as in the episode with a student using an AI-powered school platform while weighing alternative college paths, fellowships, and a real project. The best episodes feel like a working session with someone competent and slightly ahead of the curve. They are loose enough to follow live thinking. They are specific enough to leave behind useful examples.
Made for: Built for founders, product teams, writers, engineers, investors, and curious operators tracking how AI changes real work. It also suits listeners who want technical ideas translated through concrete workflows.
What sets it apart: The show’s edge is its screen-share mentality: model theory, product strategy, writing systems, and startup mechanics are judged by what people actually do with them. It favors lived process over polished predictions.
Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves. For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.
Based on 5 episodes we listened to · September 2026
Dan connects AI's technical machinery to practical questions of authorship, interface design and creative control.
AI & I treats artificial intelligence as a working material, asking how new systems alter the making of software, documents and ideas. Dan moves comfortably between technical explanation and practical use: a discussion of energy-based models becomes an argument about reasoning…
From an AI-taught student to a Minecraft UI for subagents, Dan Shipper gives your AI curiosity specifics.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A clear, conceptual case for EBMs as a different fit from token-by-token language reasoning.
The piece presents EBMs as a different kind of model from LLMs: non-autoregressive, not built step by step, and better for problems that need a full-map view.
The real gain is clearer collaboration, not just faster drafting.
The episode treats the work as a shared web document that humans and agents can edit, comment on, and track together. Dan Shipper uses that setup to draft an essay about a dinner at Squirrel in LA, then compares what the agent wrote with what he wrote in the proof doc.
A grounded look at how AI is reshaping early company-building decisions.
AI & I treats startup formation as a real choice between two paths: AI-native companies that push a category forward, and AI-durable companies that use AI without changing the machine at the core.
A grounded look at AI education, ambition, and the tradeoffs between school and a project.
The piece follows a student at Alpha High School as they weigh a tightly defined adolescence: classes delivered through an AI-powered platform, a flight to San Francisco in 20 days, and the problem of making school bend without breaking while still preserving high school credit…
A practical look at Codex as a fast GUI for programming, with multitasking and automation at the center.
The piece presents Codex as a GUI for programming that already feels quicker than a terminal workflow, even if it is still finding its full speed.
Power Platform news with practical static.
EBMs get a bird's-eye view.
The hosts discuss their company's experience implementing AI agents (called 'open claw') for every employee, exploring how it transformed their workflow and led to developing their own hosted service called Plus One.
This episode features an interview with the co-founder and CEO of Linear discussing how their SaaS business thrives in the AI era by focusing on quality, patience, and thoughtful product design.
Mike Krieger discusses building agent-native products and the challenges of AI in software design, with a sponsor segment for Grammarly.
This episode discusses how Every builds and manages a writing team using AI tools to enforce editorial standards while maintaining quality and consistency.
A document becomes the shared room.
AI moves faster when founders have open ground.
Alpha High School does not run like a normal school day.
Codex feels absurdly fast at first, almost like a fake demo.
Danny, the general manager of Spiral, discusses rebuilding the AI writing tool from the ground up to create a beautiful, intentional experience that solves the problem of slow, generic AI writing.
This episode features a discussion with Reid Hoffman about preparing for AGI, focusing on practical ways to enhance personal agency and navigate AI's impact, based on his book 'Super Agency'.
Two engineers from Quora discuss how they use AI agents to dramatically increase their team's productivity, making a two-person team feel like 15 by automating coding, research, and workflows.
GitHub CEO Thomas Dohmke discusses the launch of GitHub Co-Pilot Agents and GitHub's position in the competitive AI coding landscape.