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This paper presents an empirical catalog of 63 confirmed LLM-agent budget overrun incidents from 21 orchestration frameworks, organized into a failure taxonomy, and introduces a Rust crate using affine type ownership to prevent token/cost budget violations at compile time rather than runtime.
A commentary contrasts a Chinese trader's $2,000 course sales based on impressive setups with an engineer's high AI adoption rate that caused 9 of 11 production incidents, highlighting the gap between perceived and actual performance with AI tools.