A Korean B2B distribution company runs 17 Claude Code bots for everyday operations, including logging customer complaints, sending statements, monitoring Slack errors, and checking product prices. Their direct monthly cost is $100 for a Claude Max subscription: the bots use an existing office MacBook and company-paid services, with no added server or API bill. The key to that low cost is that 14 bots are ordinary Python programs and only three use a language model. Those call Claude through the command-line tool under the subscription, rather than making routine paid API calls. An API fallback is available for summaries but has not been used.
The low cash cost depends on careful setup and ongoing human work. The operator now spends about an hour a week maintaining the bots, after roughly ten hours weekly during the first two months; much of that effort goes into refining business-specific rules, reviewing alerts, and testing output accuracy. Output limits and JSON error handling help prevent bad results, while restricting tools and clearing session history protects data. The setup also has vulnerabilities: an expired CLI login can stop all bots, a sleeping laptop interrupts work, and launchd needs explicit executable paths. Database writes must run sequentially to avoid lock errors. The central argument is that small-scale business automation need not require cloud infrastructure or large API bills, but the real costs include reliability work and a person who checks what the bots do.
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