I just added a new classroom lesson on how to build a stable OpenClaw agent using only OpenRouter free models with a fixed fallback chain. Inside the article: - the full current free-model pool - how to sort the chain by strength - the exact config pattern for primary + fallbacks - how to check that fallback really returns to primary after limits hit Read it here. Feel free to ask your questions in the comments.🫡

The core premise in one sentence: A dedicated space where you tell us what engineering problem to solve next, and we turn it into a step-by-step open-source playbook. Is this feed for you? 🎯 If you successfully deployed your first agent but now want to dig deeper—yes, this is for you. If you are trying to deploy OpenClaw on a non-standard server (like Hetzner), struggling to structure a complex SOUL.md, or just want to ruthlessly optimize your token costs, keep reading. This feed is for Architects who want to understand the system down to the last bolt. What’s inside? 📦 We hate useless academic theory. Our knowledge base is built strictly on real-world engineering pain. We constantly monitor this feed. You describe your problem -> we take it into our lab -> we break things, test them, and find the most reliable solution -> then we return with a detailed, step-by-step guide for the whole community. We learn by doing, take the hits for you, and share the exact playbooks. How to request a new article: Don't just say, "Make a guide about servers." Pitch it like an Architect. Give us the exact details: 🛑 The Roadblock: Which part of the State Machine or infrastructure do you want us to break down? 🛠️ Your Use Case: (e.g., "I want to migrate the CTO Agent to Hetzner to save money on AWS. Show us how to do it safely.") 🎯 The Deliverable: What exact result, code snippet, or architecture diagram do you want to see in the final Classroom? The era of fragile AI toys and locked-away knowledge is over. We are building a true Sovereign Digital Workforce, and we need to know exactly what tools and instructions you need right now. Drop your article requests and Classroom ideas below. Let's build this together! 🦀🚀