I spent 9.3M tokens on a 109-agent code audit so you don't have to
The short version: I pointed a swarm of AI agents at a ~5k-line codebase to hunt for things worth fixing. The pipeline was parallel subsystem mappers → 8 "finder" lenses → dedup → adversarial verification of every finding → a ranking panel → synthesis.
It worked. 32 verified findings, a clean top-10, no complaints about the output. But it cost ~9.3M tokens (call it $46 of API time) and somewhere north of two-thirds of that was me lighting money on fire. Here's the autopsy.
Where the tokens actually went
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