OpenClaw Docker Deployment: The Config Trap No Tutorial Mentions
docker-setup.sh gets you started in 5 minutes - but CLI commands silently fail and the dashboard shows 'pairing required'. Here's the Docker networking fix every tutorial skips.
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docker-setup.sh gets you started in 5 minutes - but CLI commands silently fail and the dashboard shows 'pairing required'. Here's the Docker networking fix every tutorial skips.
Most OpenClaw Docker tutorials skip the part where your container crashes at 3 AM. Here's what happens when UID 1000 meets UID 0, and the fix that actually works.
Most OpenClaw Docker tutorials skip the silent killer: port 18789 conflicts. Here's the fix, plus the container namespace gotcha that breaks CLI commands.
Most Docker guides just run docker-setup.sh and call it done. Here's the manual path that actually shows you what breaks - and how to fix it before it does.
Most OpenClaw Docker tutorials skip the part where setup hangs after 'Onboarding complete.' Here's the token handoff problem causing it - and the three-command fix.
Lobster turns multi-step automations into single tool calls. Learn the YAML syntax, approval gates, and resume tokens that make your workflows actually work.
Most Lobster tutorials skip the resume token gotcha. Here's the approval-first workflow design pattern that actually prevents 50-email disasters.
Build deterministic multi-step automations for OpenClaw agents using Lobster's YAML workflows. Approval gates, resume tokens, and zero LLM orchestration overhead.
Most OpenClaw CRM guides skip the real friction: setup time, API burn rates, and which workflows actually break. Here's what 40+ hours testing lead automation taught us.
Most AI agents send your data to the cloud. Local agents don't. Here's what 8GB RAM actually gets you, the hidden VRAM trap, and why offline AI isn't always better.
Every tutorial tells you AI agents + MetaMask = magic. They skip the part where prompt injection can drain your wallet in 3 seconds. Here's the real cost.
Most creators pick face swap tools based on speed or templates. The real quality bottleneck is your source photo. Here's what actually determines whether your swap looks real or fake.