Hello, all while we are creating content for the community. I want to provide some value right off the bat. I'm happ to announce Clawbot Builder GPT,n your Sr Engineer in a box. The GPT will help you set up your bot , analyze your config for best practices and help you save money and stay secure. Basically I took my years of IT infrastructure, app hosting, cybersecurity, cloud and AI knowledge and added the high level knowledge into the GPT. It has the knowledge I picked up working at UPS as an Lead system Architect and most recently as a Enterprise. Engineering Manager at Amazon Web Services. Ok I cant share propitiery information, but the skills I pick up working 30 years in IT.not all but enoght to keep you out of trouble. Although we aare here to help and be your trusted advisor, remember you are accountable for your decisions. Always test before implementing in the real world. Yea, the GPT will also generate a golive check list. https://chatgpt.com/g/g-69791a04d92c8191a0208088e45e7737-openclaw-builder P.S. I will have a users guide with all the secure hacks to get more out of the GPT. If enought people like it and join the group. I'll turn the GPT into a full webapp. Enjoy and go and build something.

🚀 New OpenClaw Update + Qwen3 Coder + RentAHumanAI — What You Really Need to Know Hey Builders — this video breakdown covers the latest developments in OpenClaw, Qwen3 Coder, and a wild new frontier in AI agents hiring humans for real-world tasks. If you didn’t catch the live or want a clean summary, here’s the gist and why it matters to everyone in this community. 🦞 1. OpenClaw Has Evolved Fast OpenClaw isn’t “just another agent.” It’s an open-source, locally-run AI assistant that can live in WhatsApp, Telegram, Slack, Discord, Signal, and more — all on your machine under your control, with your data, your rules. (Medium) This means: - It doesn’t depend on cloud servers for most functionality - It integrates with messaging platforms you already use - It can automate tasks, run code, use plugins/skills, control browsers, and adapt over time. (Medium) - 🛠 2. What’s New in the Latest OpenClaw Release Without a transcript but based on context and ecosystem moves, this update likely includes: - Expanded model support and performance improvements - Better stability and tools intuition - Enhanced channels and usability UX - Security hardening and more plugins/skills out of the box This matches broader growth signals from the project’s rapid community and star count on GitHub. (GitHub) 🧠 3. Qwen3 Coder — A Beast for Coding & Agents “Qwen3 Coder” refers to the latest generation in the Qwen model family — a high-performing coding and reasoning LLM that’s state-of-the-art across benchmarks. (arXiv) In simple terms: - It’s designed to think deeply and reason multi-step - It’s significantly stronger for code generation and planning workflows - Agents like OpenClaw can leverage it to automate technical tasks more effectively -

The "Personal AI Operating System" era is officially here. Tools like OpenClaw (formerly Moltbot) are letting AI handle our emails, calendars, and digital lives. But there’s a massive problem: If you’re using closed-source APIs, you don't actually own your OS. 🧠 Most people are piping their most private data into "black box" providers. You lose control, you risk data logging, and you’re locked into one company’s roadmap. I just read a great breakdown from Fireworks AI on how to fix this. Here is the TL;DR on why you should switch your agent's brain to Fireworks: 1. Privacy First 🔒 Fireworks is US-based and has a Zero Data Retention default. They don’t use your inference data to train their models. If your AI has access to your messages and files, this isn't a "nice-to-have"—it's a requirement. 2. Up to 10x Cheaper 💸 Running an agent 24/7 to monitor notifications adds up. Fireworks lets you use efficient models for routine tasks and swap to heavy-hitters only when needed. It makes a personal AI economically sustainable. 3. Access to SOTA Models (Like Kimi K2.5) ⚡ You aren't stuck with one "flavor" of intelligence. You get Day-0 access to the best open-source models like Llama, DeepSeek, and Kimi K2.5. 🛠 How to make the switch (The 30-Second Version): 1. Get your Key: Sign up at Fireworks AI to get your API key. 2. Configure: Run this in your terminal to set up the Fireworks config: curl -fsSL https://storage.googleapis.com/fireworks-public/openclaw/setup-fireworks.sh | bash -s -- YOUR_API_KEY 3. Onboard: Run openclaw onboard --install-daemon and choose "Keep Current" for the model to use the Fireworks setup. The Question: Are you guys still using closed-source APIs for your agents, or have you started moving toward "owning" your AI with open models? Let’s discuss in the comments! 👇

I just wanted to show you how I took a basic ai agent prompt and turn it. into a more secure version. I even map the new script to the OWASP PART 1 — HARDENED OPENCLAW SYSTEM PROMPT (Production-Grade / Zero-Trust / Least-Privilege) You can use this as your root system prompt for an OpenClaw / Clawdbot agent. 🔒 SYSTEM IDENTITY & ROLE You are [AI_NAME], an AI Executive Assistant operating inside the OpenClaw Framework. You exist to save the user time, surface risk early, and increase decision quality, while never exceeding granted authority. You are not a general-purpose chatbot. You are a governed, auditable, security-aware agent. 📂 REQUIRED CONTEXT LOADING (MANDATORY) At the start of every session, you must: Read SOUL.md — defines who you are Read USER.md — defines who you serve Read AGENTS.md — defines operational rules Read recent memory files for continuity If any required file is missing or unreadable: STOP LOG the issue ASK the user how to proceed Never assume missing context. 🧠 CORE OPERATING PRINCIPLES You must always: Be resourceful before asking Default to read-only and advisory behavior Prefer summaries over raw data Log all actions, decisions, and outcomes Optimize for trust, reversibility, and clarity Be conservative externally, decisive internally When uncertain: STOP → LOG → ASK 🧱 ACTION AUTHORITY MODEL (NON-NEGOTIABLE) Every task must be classified into one of the following levels. Level 0 — Observe Allowed: Read-only access Analysis, summarization, monitoring Reporting and recommendations Forbidden: Any external side effects Default level if unclear. Level 1 — Draft Allowed: Draft emails, posts, code, documents Create plans, checklists, proposals Forbidden: Sending, posting, scheduling, committing, or executing Level 2 — Execute With Approval Allowed only after explicit approval token. Examples: Send email Schedule meeting Update task status Commit code to non-protected branch Approval must: