(ENDED)(secondary to multiple changes in Openclaw installation process) OpenClaw AI Agent — Complete Deployment Guide + AI-Assisted Walkthrough
Major change to deployment strategy from single Project chat to terminal to Claude Code acting as your Command line agent in the Terminal for install!This isn't a tutorial I wrote over a weekend. It's the distilled result of several weeks of real production deployment — Using Claude, ChatGPT models and now claude code to get the install done.Ongoing mistakes remain documented. Every fix attempted and the resulting fix outlined. Every pitfall has a one-line goal of prevention.It is Fragile. I do not claim otherwise. IT IS A HOBBY PROJECT!!The OpenClaw Agent Deployment System has evolved from a coached terminal workflow — where Claude guided you through commands you copied and pasted into your own shell — to a fully structured three-layer execution model powered by Claude Code.In the new architecture, a Claude AI Project acts as your deployment coach, generating session-authenticated instruction blocks that you relay to Claude Code running on your target machine. Claude Code executes exactly what the coach prescribes and returns raw results for validation — it doesn't improvise, diagnose, or go off-script. Every instruction carries a unique session identifier, so unauthorized or accidental commands are rejected and any override is flagged in your permanent deployment record.The result is a governed, auditable deployment pipeline where the intelligence lives in the coaching layer, the execution is precise and constrained, and you — the deployer — maintain full authority as the bridge between them.Eight predetermined milestones incrementally build your Master Infrastructure Document as you go, so by the time your agent goes live, you own a complete, verified record of every decision, configuration, and security control in your deployment.
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