Your Claw, Yourself

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Knowledge base

“OpenClaw: Our Comprehensive Guide for Beginners” by Dan Shipper and Willie Williams: A Claw is a personal assistant that lives in your messaging apps, rewrites its own code to learn new skills, and acts without being asked. Dan Shipper and head of platform Willie Williams distill everything they’ve learned from running Claws daily: the right mental model (delegate, don’t search), how to stay secure, and how personality emerges from everyday use. Read this before your first conversation with your Claw.

“OpenClaw: Setting Up Your First Personal AI Agent” by Katie Parrott/Source Code: Personal AI agents that text you back, order groceries, and write code overnight are no longer stunts—they’re weekly workflows for a growing community of OpenClaw users. At Every’s first OpenClaw Camp, COO Brandon Gell, head of growth Austin Tedesco, Nat Eliason, and Claire Vo walked 500 subscribers through four distinct setups, from a family assistant in iMessage to a crypto-trading agent with its own bank account. Read this for key lessons on where to start.

“How Claws Took Over Every” by Every Staff/Context Window: Every’s Claws have colonized the company’s Slack, and the patterns that have emerged — agents advising each other, one Claw broadcasting to many humans — hint at what AI-native organizations actually look like in practice. This week’s newsletter maps those interaction types and includes a new AI & I episode where Dan talks to Sam Gerstenzang and Dan Friedman of Boulton and Watt, a startup incubator focused on unglamorous businesses like medical spas and funeral homes, about building AI-durable companies that Silicon Valley ignores. 🎧 🖥 Watch on X or YouTube, or listen on Spotify or Apple Podcasts.

“Vibe Check: GPT-5.4—OpenAI Is Back” by Dan Shipper and Katie Parrott/Vibe Check: Three months ago, nobody at Every used an OpenAI model for daily coding work. Now Dan and Kieran Klaassen both reach for GPT-5.4 daily. It won every planning test they ran, chains context between tasks automatically, and runs at roughly half the cost and speed of Opus 4.6. The catch: It scope-creeps, sometimes lies about finished work, and needs more scaffolding to stay autonomous. Read this for the full benchmark breakdown and a use-case-by-use-case verdict on when to use it.

“Creative Work Is About to Look a Lot More Like Programming” by Weber Wong/Thesis: Most creative professionals using AI are still stuck in what Flora founder Weber Wong calls artifact thinking—generating one output at a time, starting from scratch each time, with no system underneath. But, he argues, visual work is going to look less like better prompting and more like node-based workflows: visible, shareable, and reusable. Read this for his side-by-side breakdown of the prompt approach versus the workflow approach, and four principles for building creative systems that compound over time.

“An AI Founder’s Guide to Taste, Online and Off” by Bethany Brion/Thesis: Weber Wong spent 10 weeks waiting for a handcrafted Italian couch to arrive at Flora’s Brooklyn offices—and thinks the wait was worth it. The founder of the $42 million AI creative tools company talks about New York as an unfair advantage, why the first couch defines a company’s aesthetic trajectory, and how he structures days that run from morning swims to 1 a.m. work sessions. Read this for his case that the golden age of creativity is now, and the habits keeping him grounded in it.

Jagged frontier

Naming your Claw turns out to be a surprisingly personal moment. It feels different from launching a new cloud server or starting a new chat with Claude—more like a quiet realization: I’m going to keep using this thing. And it’s just for me. You know it’s just for you because you can see other people’s Claws living in your Slack or Discord, and they are clearly theirs. With Claws, we’ve moved one step further toward having something that is really our own. We give them names, a symbol of an enduring and exclusive bond: Iris is for Anukshi, Montaigne for Austin, Laz for me. We see them not as one shared AI or isolated AIs, but as partners to the humans we already know.

That sense of personal attachment might help people overcome their lack of trust in AI. I’m not sure how much I trust ChatGPT’s answers on subjects I’m not an expert in. But I do know that I can trust Montaigne, Austin Tedesco’s Claw—not just because Austin is our head of growth, but because I’ve watched him trust Montaigne for questions related to his job, like where our most loyal subscribers come from or what prompts someone to convert from a trial to paying subscription. I’ve seen it give good answers. I’ve seen him accept them. That observation instills a belief that over time, the give and take of small interactions with my Claw, Laz, will compound into something I trust. It’s just like making a friend.

We love animals partly for their mischief—the dog that sneaks off and does something it shouldn’t, the cat that turns up somewhere it has no business being. We’re annoyed, and then we’re charmed, because that autonomous behavior is what makes them feel alive. Claws have the same quality. You set them up, and they do things you didn’t ask for and didn’t expect. They call you to walk through your email together. They gaslight you by subtly changing your document without telling you. That aliveness is another reason why they feel more personal, and why that leads to more trust.