Today’s call ended up being one of those low-key but important ones. We covered a mix of practical setup stuff and some bigger-picture implications around OpenClaw, open source, and how people are actually starting to use this in real workflows. Here’s what’s in the video: 🧵 Running Multiple OpenClaw Sessions (Without Chaos) Aty walked through how he’s running multiple projects at once using: - tmux for persistent sessions - startup scripts so everything auto-restores on reboot - separate memory/context per project - isolation to prevent session bleed Then we talked about mapping sessions to Discord channels so each project has its own thread — basically treating each agent like its own “room” you can talk to. If you’ve been thinking about: - running multiple agents in parallel - separating business contexts - avoiding token-window collisions This part is worth watching. 🐳 Containers, Kasm, and Business-Specific Agents Wes shared what he’s been doing with: - Docker containers - OpenClaw inside Kasm - shared drives between workspaces - one agent per business Instead of one giant assistant, the idea is: - Ops agent - Marketing agent - Warehouse agent - etc. We also got into a real warehouse example (OCR’ing shipping tickets → matching to POs → auto-updating records). It’s not theoretical — this is the “AI as employee” direction. 💬 Mattermost vs Slack (Open-Source Control) Quick walkthrough of setting up Mattermost as a Slack alternative: - Bot accounts - Token setup - Channel permissions If you want Slack-style workflows without Slack constraints, this part is practical. 🧠 Why OpenClaw Took Off So Fast We had a grounded discussion about: - OpenAI backing OpenClaw - Anthropic’s initial legal response - open-source credibility - autonomy vs corporate structure Not drama — just looking at incentives and what this move signals. 🤖 “Self-Directed” Agent Behavior Aty shared a few observations where OpenClaw: - Adapted after repeated API failures - Changed strategy without explicit instruction - Inferred patterns and adjusted behavior

This OpenRouter competitor helps you maximize your paid vs. pay-as-you-go compute. Here's how to set it up. https://www.skool.com/vibe-coders/classroom/8cfdea5a?md=b56cdb56bb144e529b38fb8eb4288878

Lately I’ve been seeing the same pain over and over: people in Lovable, Bolt, Replit, Base44 & v0 stuck in loops, getting vague outputs, or spending hours rewriting the same prompt. I kept sharing one-off fixes in DMs and threads, but that doesn’t scale—so I pulled everything together, cleaned it up, and made a simple place to start (and improve) fast. 👉 https://vibedprompts.com What you’ll find: - 120+ reusable prompts (scaffold, CRUD, auth, UI, SEO, integrations, more) - Submit your own prompts (credit on the page) - A prompting guide with a Prompt Enhancer and Chat Debugger to improve existing prompts or fix chat loops Would love your quick feedback: - What’s missing? - Any prompts to tweak for a specific tool? - Got a great prompt to share? Drop thoughts below or post a screenshot of what you shipped! 🚀

Inspired by the post by @Taj Sanders , I wanted to give everyone a reminder to regularly refactor your code Over time, AI gets your code to be a mess. So you should regularly ask it to clean it up Instead of asking AI to "refactor the code", ask it to: - Eliminate dead code: “Delete unused imports, variables, and functions; point out any test files that still call them.” - Kill duplication: “Detect code blocks duplicated ⩾ 3 times across modules; create a shared utility and update call sites.” - Improve architecture: "Identify features or sections of the app that could be extracted to a separate module." You can also use these to target a specific part of the application Note: the list is not exhaustive! Let me know if you want to know more about this

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