Here's what Klaus asked me a couple of days ago: If any of you have requests for videos or topics you're interested in, just post them in the group. I'll make a post or dedicated videos for them! https://www.skool.com/tolearnaiautomation-4236/classroom/cef5ea3d?md=7839fdd9d8864ed0b935fabca8fb8932 @klaus

Hi everyone, I am Javi. I am glad to join this community and learn more about AI automation and OpenClaw security setups. My main goal is to master the installation, security, and day-to-day use of OpenClaw on a Mac Mini. I am looking forward to learning from all of you and growing my skills here.

Joined to see if i can get up and running with Openclaw in a somewhat secure fassion :-) I've heard the best approach is to do docker sandbox. and ive tried to find tutorials to follow but everything is changing so fast. I also dont have the possibility for a guest network on my router so I've heard that its possible to use tailscale instead to achieve the network isolation. that way i can have a secure private network that also extends to my Iphone. docker sandbox (the new microVM) encapsulating openclaw and tailscale encapsulating the sandbox. I would also want to I'm pretty new to docker though so need some help getting things put together i think. as far as i can see I cant use the install guide available in the classroom? has anybody tried this setup?

🛑 Read This Before You Add n8n or NotebookLM to OpenClaw A new addition to the OpenClaw Usage Companion Courses section of the OpenClaw course is now live: 🔗 Access the Module Here: https://www.skool.com/tolearnaiautomation-4236/classroom/c8b580f7?md=e94ed8b1387a4536a63d09348bcc25a8 I’ve been seeing a trend in the community where members are bolting on external tools like n8n and NotebookLM before they’ve fully mastered the native power of OpenClaw. In this update, we’re breaking down the "Complexity Budget"—and why adding these specific tools right now might actually be working against your setup. What’s inside the update: - The n8n Trap: Why using it for "simple" cron jobs creates a security bypass in your Soul Fortress. - The Token Fallacy: Why routing tasks to external automation doesn't actually save you money on our subscription-based API. - NotebookLM vs. Native Memory: How memory.md and the native PDF tool handle 90% of what you’re reaching for Google Cloud to solve. - The "Local-First" Roadmap: A guide to keeping your personal research and data on your own machine (using Obsidian). The goal isn't to use every tool that exists—it's to use fewer tools, better. Master the foundation first. Explore the native memory, the native PDF tools, and the internal agents file before you add more points of failure to your assistant. See you in the comments of the module!

Hello! I need to understand how we will use the different LLMs on our OpenClaw setup. So according what i understand the plan is: try to use free/almost free LLM's and switch between them according availability. So in essence, our OpenClaw will : - Priority 1 (paid): if you want use Z-AI (paid). You will get a LLM with a close intelligence to Claude Opus for a fraction of price. Cost: about 9$/month - limited community member link in https://z.ai/subscribe?ic=E71GZDVZPS). - Priority 2 (free): if you run out of credits from option 1, switch to Nvidia kimi-k2.5 (follow the tutorial in this community - https://build.nvidia.com/moonshotai/kimi-k2.5 . Cost: free. - Priority 3 (free): if you run out of credits from option 2, switch to OpenRouter.ai LLM (which will choose between several others LLM's based on availability). Cost: free but if you have 10$ in the account they raise a lot the threshold of tokens you can use. - Priority 4: use another free LLM or paid if you have API keys (OpenAI, Claude, etc) Am I understanding this well? Thanks in Advance! 🙂