AI lets a founder do more alone. Where does the one-person company hit its limits? @solofounders’ @julianweisser and @polsia’s @Bencera join @bran_don_gell to discuss what founders can build themselves, when they need human help, and whether a billion-dollar solo company is within reach. Watch the livestream for free this Thursday, Nov. 5:

Most AI rooms we walk into are mostly men. So on Tuesday we made one for women, and the Every brownstone filled up with women from Bloomberg Media, The New York Times, Wired, Pinterest, and Amazon. Everyone paired up to show how they actually use AI, and three things kept coming up. 1. Everyone is learning in real time. 2. The “non-technical” label wore off fast. 3. There’s no “the way” to use AI, just “a way.” Next one’s already in the works 🤝

A few weeks ago we launched the Every Agent, one Slack agent for the whole company. Here are @bigwilliestyle’s 3 rules for designing an agent the company can use: 1. Conversations: Help the agent follow a Slack thread. With a personal agent, the conversation is straightforward. You type, the model answers, and you’re done. In a Slack thread, anyone can jump in at any time. To feel like a coworker, a shared agent has to follow the conversation, even when several people are talking at once. Because we knew this was a likely point of failure, @paridhitweets and the team added a translation layer that organizes Slack messages for the model and sends its replies back to the thread. 2. Connections: Keep tasks running when logins change. For an agent to be useful, it has to reach the tools that people need. But each connection requires the agent to sign in to the tool through someone’s account. If that login breaks, it could stop everyone’s work. @leeknowlton has set up a task to connect to a “slot,” where any login that meets the task’s requirement can reside. When a login expires, the connection in the slot gets swapped out. Most people will never see any of this. Their automations will keep running as usual. 3. Permissions: Put access rules in code. When a company agent can reach everything the team has connected, each request raises two questions: Whose access is the agent using, and is the person asking allowed to use it? People treat Every Agent like a coworker, and human coworkers sometimes bend the rules. But an agent can’t make such judgments, and the rigidity can make it frustrating to work with. The rules about who can do what live in code, underneath the model, rather than in the instructions the model reads. This way, the model can’t be convinced to bend rules that it shouldn’t. Install the Every agent: Read more:

We're hiring a marketing associate. Strong project management, clear writing, hands-on AI experience. Enthusiastic about managing chaos. NYC preferred; remote welcome. Apply here:

The newsletter is dead. AI agents are going to read it before your subscribers do. At least, that’s @danshipper's take. As CEO of Every, a company that writes about AI and builds AI software, Dan's about as close to the cutting edge as anyone I know. I’ve spent 13 years building my career around email, so this was difficult to hear. But as much as I hate to admit it, I think Dan might be right. The good news is there’s still time to adapt. In this episode, Dan shares what you can start doing now to make sure your emails still reach your audience.

Early this year we built Plus One, our personal-agent product. In May, we deleted 86,730 lines of its code because it wasn’t working. A personal bot like OpenClaw was too much work to run: Each agent lived on its own cloud computer, which was too high-maintenance. Many of us ended up abandoning our bots. For the bots that remained alive, we noticed that they were most useful when borrowed by other people. @tedescau connected his Plus One to our analytics tool, and people on the team asked it analytics questions. We decided to start over, making two changes: 1. We let Anthropic’s Claude Managed Agents take care of the infrastructure. 2. We replaced our fleet of personal agents with one shared company agent. @bigwilliestyle breaks down the process behind the creation of the Every Agent: Install the Every Agent:

Very little is free in NYC. But if you're a paid Every subscriber, our afterparty for Thesis: 2027 costs exactly $0. Your agent can work late. You have a party to go to. DJ. Passed bites. Open bar. And more. 🥳 Join us at Pioneer Works in Red Hook, Brooklyn. 🪩 November 5, 2026. 6–9 p.m. ET. 21+. 🎟️ RSVP:

I used Fred's pitch deck skill with a very basic "here's my movie idea" prompt to have it help me flesh out a concept I've pitched before... And it was genuinely a good creative partner that prompted me with useful questions and research. Got my one-line idea into a full pitch

. @fredgraver is a legend! I learned so much from this conversation and am excited to try his version of compounding: Compound-Producing Want to use AI to produce like Fred? Try his skill here:

Taste in an age of AI may depend on materials intelligence, or MQ: an appreciation of the raw materials and techniques behind a finished product, argues @smc90 for her Thesis Statement. Think textiles and stitches, powder coatings, digital textures, or the enamel technique used in a piece of jewelry. The designer’s name and the story of who wore it give an object some meaning, but so does the mood board that inspired it or the behind-the-scenes photo of the process. Her bet: As AI commoditizes more of the surrounding work, materials carry human expertise that has accumulated and has been sustained over centuries. Read Sonal’s full Thesis Statement:

When our daily @OpenAI credit use jumped 230%, a strict token budget felt like the obvious answer. But our head of ops Arielle Shipper instead chose to manage our tokens through 3 questions instead: What did it cost? What did it buy us? What did we learn? Read the full piece: