@Arbaz Riaz Hey Arbaz! I can see the issue from your screenshot — you're running Node.js v24.14.0 which is too new. OpenClaw likely requires Node.js v18 or v20 LTS — bleeding-edge Node versions often break npm packages that haven't updated their native dependencies yet. Fix: Install nvm-windows (Node Version Manager) — lets you switch Node versions easily: github.com/coreybutler/nvm-windows Then run: nvm install 20 nvm use 20 Re-run the OpenClaw installer Quick check first: Try v20 LTS before v18 — v20 is the current recommended LTS and most likely to work. The npm error code 1 + NativeCommandError is almost always a Node version compatibility issue on Windows, Arbaz. Switching to v20 should resolve it. 😊

@Alex Ogonyo Alex, your sales background is actually more of an asset than a gap here — agencies struggle far more finding people who can talk to clients than people who can build. You're starting from a better position than most. Fastest path into the technical side: start with n8n. It's the most beginner-friendly automation platform with real depth, and it's what most serious AI agencies are actually running. Build these three things and you'll have a genuine portfolio: Lead qualification workflow (form → AI research → qualify → email) AI voice agent that books appointments (Vapi + n8n) Web scraping + reporting pipeline Don't just follow tutorials though — pick a real use case and troubleshoot until it actually runs. That's where the learning sticks. Post here as you build things. Community feedback loop will accelerate you faster than any course, Alex. What's your current starting point — comfortable with any no-code tools already, or starting from scratch?

@Mutiat Adebowale Feel free to reach out if you have any question or if you get stuck at anything. Here's my Emai : [email protected] Here's my WhatsApp: +8801628675223

@Armin Šarić Hey Armin, classic stateless context problem! Two clean solutions: Option 1 — Pass conversation history to the Bodyguard (best fix) Before the Bodyguard node, inject the last 1-2 messages from your session memory into the prompt context. Instead of just sending "Yes", send: Previous message: "Would you like to book 3 PM?" User reply: "Yes" The Bodyguard now has enough context to classify it correctly. Pull the history from whatever memory store your AI Agent is using (Postgres, Redis, etc.). Option 2 — Session state flag (simpler) Store a conversation_state variable (e.g., "awaiting_booking_confirmation") in your session. Add a check before the Bodyguard: if state = awaiting confirmation → skip Bodyguard entirely and route straight to the AI Agent. My recommendation: Option 2 is faster to build. Option 1 is more robust long-term since it handles any ambiguous follow-up, not just confirmations. The core principle, Armin: your Bodyguard needs either memory or a state bypass — right now it's operating blind. 😊

Hey @Evelyn Taylor , I just finished reading your request, and I am definitely the man for the job.I am currently working with two US-based AI agencies as their technical back-end guy, handling all their delivery. Here are videos I have recorded showcasing real-world projects I have delivered to my clients:https://docs.google.com/document/d/1F64YiLfin6P1YkgL8nfI7U6CtSdNLd8Kppjwi-HOovo/edit?usp=sharing A little bit about me - I’m an AI automation Engineer, currently working as a solo freelancer. Everything I build is ROI based, and I’ve built systems that have saved 10’s of hours each week for my clients. If you feel like I might be a fit, leave me a message, and we'll go from there. Here's my Emai : [email protected] Here's my WhatsApp: +8801628675223