Paridhi Agarwal

BREAKING! Introducing Plus One: A hosted @openclaw that lives in your Slack and comes pre-loaded with @every's best tools, skills, and workflows. Set it up in one click, and use your ChatGPT subscription (or any other API key.) Bring your Plus One to work: every.to/plus-one Connected to the @every ecosystem Plus Ones automatically use @every's agent-native apps, no setup required: - @CoraComputer for searching, sending, and managing email - @TrySpiral for great writing in your voice - Proof (proofeditor.ai) for agent-native document editing Custom skills and workflows we use and love Plus Ones come pre-loaded with skills and workflows we use ourselves @every —some we've made, and some we think are great. - Content digest—summarizes the publications you read, starting with @every - Daily brief—your day's schedule and to-dos sent to you each morning - Animate—turn any static screenshot into an animation with @Remotion - Frontend—Anthropic's front-end skill (which we use all the time!) We also make it fast to connect Google, Notion, Github, and more to your Plus One. Our goal is to give you a capable AI coworker right away, not a vanilla OpenClaw that you have to teach from scratch. Why we built Plus One @OpenClaw has changed the way we work at Every. We effectively have a parallel org chart of AI coworkers, each with a name, a manager, and real responsibilities. Because of them our workflows are completely different—our company is different—and we would never go back. But getting here has been hard. Claws require a significant amount of manual setup and require a dedicated machine—like a Mac Mini—running 24/7 to stay responsive. We have learned that the hard part of Claws is the infrastructure around them—the hosting, the integrations, the skills, and the ongoing care. We’ve made them work great for our team, and we want to share everything we’ve learned with you. We're letting in 20 people a week to start, and scaling invites quickly from there. @Every subscribers get priority. Bring your Plus One to work: every.to/plus-one

BREAKING: Proof—a new product from @every It’s a live collaborative document editor where humans and AI agents work together in the same doc. It's fast, free, and open source—available now at proofeditor.ai. It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals. Why Proof? When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive. It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999. Proof lets you leave .md files behind. What makes Proof different? - Proof is agent-native: Anything you can do in Proof, your agent can do just as easily. - Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI. - Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor. Check it out now, for free—no login required: proofeditor.ai

"There's a real need for people to actually figure out how to live a more creative, more human future with this technology."—@danshipper Every is built by people trying to answer that question in their own work, every day. This is Every.

NEW: i wrote a complete technical guide to building agent-native software (co-authored with claude) it covers: - the five pillars of agent native design (parity, granularity, composability, emergent capability, self-improvement) - files as the universal interface - agent execution patterns with code samples - mobile agent patterns - advanced patterns like dynamic capability discovery if you want to take full advantage of this moment, it's worth your time: every.to/guides/agent-n…

I built a Claude skill that turns Claude Code into your personal coding tutor. The core insight: Claude Opus 4.5 is already the best tutor in the world. @AnthropicAI cooked with this model! It has incredible emotional intelligence and deep coding knowledge. What this skill does is just provide a harness—a way for Claude to agentically build the right context about YOU so it can personalize the tutoring experience in exactly the right way. Here's what makes it work: Learner profile from day one. The first time you use it, Claude interviews you. It asks about your programming background, your goal (where do you want this to take you?), and who you are as a person. This gets saved and informs every single tutorial it ever writes for you. From the very first interaction, everything is 100% personalized. Tutorials that use YOUR code. When you ask to learn something, Claude doesn't give you generic examples from some blog post. It finds examples in the actual codebase you're working in. This makes concepts stick in a way abstract examples never do. Quiz mode with spaced repetition. You can run "/quiz-me" and Claude will test you on concepts you've learned. It tracks your understanding score for each tutorial. Then it uses spaced repetition to prioritize the next quiz—concepts you're shaky on come back in 2 days, concepts you've mastered fade to 55+ day intervals. It literally builds retention into the learning process. One central knowledge base across all your projects. Whether you're joining a new company and want to understand their codebase, learning from an open source project, or leveling up on your own vibe-coded project—all your tutorials live in one place (~/coding-tutor-tutorials/). So your personal coding-tutor accompanies you across all your coding adventures. The whole thing is a feedback loop: learn → quiz → retain → learn more → quiz → retain. Your tutorials evolve, your knowledge compounds, and Claude gets better at teaching YOU specifically over time. To install it in Claude Code: • Run /plugin to open the plugin manager • Add marketplace nityeshaga/claude-code-essentials • Enable coding-tutor plugin Here's the Github: github.com/nityeshaga/cla… And here's 20-mins of me walking you through how to use this plugin and how it works 👇🏽 Let me know if you use it to teach yourself something cool!

Claude Code cracked something open for us @every. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (@_catwu) and Boris Cherny (@bcherny) from @AnthropicAI, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12