I only need chat access
Connect one private channel. Do not add schedules or write-capable tools yet.
Do not begin by connecting every channel and tool. Prove one local Gateway, one private channel and one reversible automation, then expand only after permissions and rollback are visible.
The existing library has 16 chapters. This hub keeps every URL discoverable, but promotes eight gates that follow the order a real deployment needs: boundary, Gateway, channel, model, skill, automation, security and runbook.
A chat interface, an automation and a multi-agent deployment have different risk and operating costs.
Connect one private channel. Do not add schedules or write-capable tools yet.
Define input, allowed action, approval point and rollback before cron or webhooks.
Add multi-agent routing only when identities, workspaces and tool permissions must differ.
Use the same low-risk task through the route. Save evidence at every gate before granting more access.
Complete this evidence before expanding access.
02 · GatewayComplete this evidence before expanding access.
03 · ChannelComplete this evidence before expanding access.
04 · ModelComplete this evidence before expanding access.
05 · SkillComplete this evidence before expanding access.
06 · AutomateComplete this evidence before expanding access.
07 · ProtectComplete this evidence before expanding access.
08 · RunbookComplete this evidence before expanding access.
All 16 chapter URLs remain available for deeper implementation and returning learners.
The runbook records boundaries, configuration, permissions, tests, approvals, logs and rollback. That is the difference between a demo and a maintained system.
It is useful for running an AI assistant on your own computer or server, then connecting only the channels, models, and tools you need. Start with one low-risk task; a chat-only setup should not begin with schedules or write-enabled tools.
No. The Gateway can run locally, but cloud models and external messaging platforms still receive the requests sent to them. Record the model provider, channels, log locations, and allowed data boundaries before deployment.
No. Begin with one private test channel, an allowlist, and a reversible task. Verify identity, permissions, logs, and error handling before adding each integration.
Use multi-agent routing only when roles genuinely need separate identities, workspaces, or tool permissions. If one assistant can do the job, extra agents mainly add debugging and operational cost.
The deliverable is an OpenClaw Operations Runbook, not just a working demo. It should record system boundaries, Gateway and model configuration, channel allowlists, Skill tests, approval points, logs, and rollback steps.