OpenClaw setup field guide
A practical baseline for a stable AI employee workstation: gateway, secrets, model routing, task layer, health checks, and approval gates.
Operator playbooks
How we turn AI experiments into working systems.
Practical setup notes, patterns, and lessons from building a real AI employee cockpit.
AI operator lessons learned
Hard-won notes from real implementation: context cost, email guardrails, ASCII-safe CLI output, local model risk, skills, and Mission Control.
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Useful next pages
Jump between the public intel, playbooks, workflow notes, and implementation opportunities.
Intel deskSearchable reports and operator updates
Agent servicesAI employee opportunity brief
Upgrade watchHold, watch, or test guidance
MSP AI updateGovernance-first implementation notes
PlaybooksSetup guides and lessons learned
OpenClaw GuideBaseline setup notes for practical AI operators
Mission ControlHow the operating cockpit works
Video libraryReviewed videos turned into lessons