Developer runs 40-50 AI agents daily for two months, spends under $5 total

Software developer Suman Debnath built a personal fleet of AI agents called MIGI, which has been running since July 8, 2026, performing 40 to 50 automated tasks daily including journal writing, job filtering, site monitoring, and expense tracking. Despite industry estimates placing comparable AI agent stacks at $185 to $480 per month, Debnath's total spend over two months has remained under five dollars. The key architectural difference is that paid AI models serve only as a fallback, with seven providers ordered by cost per agent chain, and orchestration handled through cron-scheduled GitHub Actions rather than a managed server. Debnath notes that widely cited statistics on AI agent failure and cost come largely from surveys conducted by vendors selling solutions to the very problems they measure, leaving actual operator bills largely unpublished. He published his own figures to offer a real-world counterpoint to the prevailing, often bleak, industry narratives around agentic AI deployment costs.
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