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Exciting new OpenClaw builds and agent systems for founders
Hey builders, hope you're already crushing June. We're busy behind the scenes gathering lots of info on which agent systems and Claw builds are best going to serve you guys. We're reading your interests, expertise, and skill level to get an idea of what systems are useful for you to build, manage, and eventually scale. A couple of aims here that we want all of you to achieve: - You build and use the system for your business/agency. Manage your agents to do your dirty work. - You build further products from one or multiple systems. Once you learn the setup, you can ship fast. This takes reps, so the more you build, the better you get, the clearer the vision becomes. - Once you understand the system yourself, you sell it. As a product, a SaaS, a B2B2C service. This has the highest ROI because you're in control of the setup and there's no ceiling on distribution and sales. Here's a sneak peak of some of the multi agent systems we're building here: - Smart Document Processor - Competitive Intelligence Agent - Lead Scoring & Routing Agent (this one is massive) - Customer Onboarding Automation - AI Outbound SDR Agent - Reddit-to-Content Agent - Digital Product Empire Agent (this is also a killer) - AI Review Response Agent - AI Client Renewal Agent - AI SEO Content Strategist (also huge) Which of the aims resonate with you the most? And what build makes the most sense in your niche that aligns with this aim? Keen to hear, drop your thoughts below.
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Beginner course: Modules 0-4 are LIVE in Classroom
If you just joined — start here. This is the foundation everything else builds on. Jump to the course Here's what's available right now: Module 0 — First Steps: Before your agent does anything, read this. Covers what OpenClaw actually is, how to think about it before you configure anything, and the decisions that shape everything downstream. Then pick your setup path: - Install on Zo.computer (VPS) — recommended if you want automations running 24/7 - Install on your local machine — fastest way to get started today - Run the setup wizard - Full OpenRouter walkthrough — connecting all models through one API key Module 1 — Core Setup: Connecting Telegram so your agent can reach you. Then fixing the security issues that most people skip — before they become problems. Module 2 — Getting to Know Your Agent: The onboarding process that actually works. How to introduce yourself to your OpenClaw so it understands your work, your goals, and how you think. This is what separates a generic agent from one that feels like yours. Module 3 — Installing Skills: The full Clawhub skills guide. What to install, what to avoid, and the 4-step protocol before you run anything on your machine. Module 4 — Email: Setting up Agentmail and giving your agent its own inbox. Why Gmail is the wrong choice and what to use instead.
Beginner course: Modules 0-4 are LIVE in Classroom
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New Here? Start Building your AI Agents Right Away🍃
We're excited to have you in the community! You are among our first members, and we really appreciate you! You can explore the "Classroom" section where you'll find, what we are cooking for you in the following weeks. - Openclaw tutorials and step-by-step guides - 40+ ready-to-use skills (Soon) - Workflows and resources built for beginners New content will be continuously uploaded. Before you dive in, introduce yourself below and tell us: - Your name - What areas of your business you’d like to automate with AI systems We can’t wait to see what you’ll build and achieve with AI automation. Let’s get started and grow together!
New Here? Start Building your AI Agents Right Away🍃
Intro: managed OpenClaw hosting (EU), here to help with setup + security
Hey all, Peter pointed me here so dropping a quick intro. I run OneClickClaw, managed OpenClaw hosting based in the EU, for people who want their agent up 24/7 without babysitting the infra. Updates, security hardening, and the token-auth refresh that breaks silently always seem to eat people's time. Our angle is EU/GDPR plus security-hardened instances, so I'm mostly here to help on the hosting and security side and trade notes with other builders. If you're stuck on setup, a gateway you've exposed publicly, or updates breaking your install, happy to help, that's the day job. What's everyone working on?
TasteClaw — Reverse-Engineer Any Website's Design DNA
New OpenClaw skill for the community members: 𝗪𝗵𝗮𝘁 𝗧𝗵𝗶𝘀 𝗦𝗸𝗶𝗹𝗹 𝗗𝗼𝗲𝘀 You give it a URL. It gives you: {domain}.md — the complete Design Map (exact colors, type scale, spacing, shadows, radii, grid) + Taste DNA (WHY the designer made each choice and what they rejected) {domain}.json — machine-parseable version for downstream tools Not vibes. Not "clean and modern." Actual px values, hex codes, and design trade-offs. Example: Run /taste https://linear.app and you'll get the exact font hierarchy, the 8px spacing rhythm, the shadow layering strategy, and WHY Linear chose monochrome icons over colorful ones. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗘𝘅𝗶𝘀𝘁𝘀 AI coding agents are terrible at design. They default to Inter font, blue buttons, 8px border-radius, and a card grid. Every AI-generated landing page looks the same because the agent has no taste — it just picks defaults. The Taste skill fixes this. Instead of "make it look good," you say "use the design DNA from stripe.com." The agent gets exact tokens AND understands the design philosophy behind them. Core insight: Design tokens alone are useless. "Spacing is 8px" means nothing. "Spacing is 8px because the designer chose readable rhythm over data density" — that's what makes an AI generate good design for a DIFFERENT page. 𝗛𝗼𝘄 𝗜𝘁 𝗪𝗼𝗿𝗸𝘀 Phase 1 — Capture: Playwright browser loads the URL, takes viewport + full-page screenshots, runs DOM extraction (colors, typography, spacing, cards, grids, effects). Phase 2 — 4-Step Analysis Pipeline: Step 1 (Measure): 20 categories of precise measurements from the screenshot + DOM Step 2 (Pattern): Detect systematic rules (8px grid? 1.25× type scale? accent used only on CTAs?) Step 3 (Taste): 4 design trade-offs — what they chose AND what they rejected. At least one must be a restraint trade-off (something they deliberately didn't do) Step 4 (Observer): Critique everything. Delete generic claims. Converge to 3-4 bulletproof principles. Anti-Slop Enforcement: The pipeline actively rejects "clean," "modern," "sleek," "elegant" — banned at the grep level. If it passes through, the file fails audit.
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