The model choice matters a lot for cost. I've been running a production NLP pipeline on OpenClaw using Claude Haiku exclusively — it's roughly 25x cheaper than Opus for inference tasks where you don't need the full reasoning power. For most "read this text, classify it" tasks Haiku is more than sufficient.

The hard part for a new user who knows about VMs isn't the VM setup — it's knowing which model to reach for. Opus for complex reasoning, Sonnet for balanced tasks, Haiku for high-volume classification or anything where you're calling the API repeatedly in a loop. Getting that wrong is where bills explode.

A sensible default for a hosted product like Klaus would be Sonnet with Haiku available for bulk operations. Opus should require an explicit opt-in with a cost warning.