R Rumus Cloud
Course · 3 days

Build an AI assistant with OpenClaw and Claude Console

Three sessions that go from an empty Console organisation to an assistant answering real messages on a channel you choose, with usage tracked and costs bounded.

What you leave with

  • A Console organisation with separate keys for development and production
  • An OpenClaw assistant connected to a messaging channel of your choice
  • Knowledge grounded in your own documents, with answers citing their source
  • Daily usage and cost reporting, with a hard ceiling
  • An escalation path to a human when the assistant is unsure

Day one — foundations

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09.00–10.30Console organisation, workspaces, keys, usage limits
10.45–12.00Model choice for an assistant: quality against cost per conversation
13.00–14.30Install OpenClaw, connect Claude, first reply
14.45–16.00Prompt structure: persona, boundaries, refusal behaviour

Day two — knowledge and channels

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09.00–10.30Feeding your documents: chunking, retrieval, keeping answers grounded
10.45–12.00Connecting WhatsApp, Telegram or a web widget
13.00–14.30Conversation state, handover, and what to remember
14.45–16.00Practice: the assistant answers twenty real questions

Day three — production

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09.00–10.30Deploying on Rumus Cloud: environment, secrets, releases
10.45–12.00Monitoring quality: sample review, escalation rate, unanswered share
13.00–14.30Cost control: caching, model routing, spend ceiling
14.45–16.00Launch checklist and rollout to your team
Channel requirement. Decide before day two which channel the assistant will serve. Preparing the account takes longer than the session allows, and Telegram or the web widget are the quickest to arrange.