How one dev burns 1 billion tokens a month with recurring Hermes agent workflows
natesiggard · x · 2026-11-11
Developer natesiggard shared how he uses 1 billion tokens in a month via Hermes agent recurring workflows:
- Personal media library: metadata generation, classification, annotation, transcription, and facial recognition across 25 years of personal media (only 1/20th done).
- T1D research pipeline: continuous tracking of type-1 diabetes research and therapeutics R&D.
- The Curiosity Engine: idle compute goes toward agents exploring his computer for interesting projects, attempting to source capital to fund more inference.
A vivid example of always-on agents handling repetitive personal data work — even letting agents hunt for fundable ideas to pay for their own compute.
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