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The author developed a deterministic image routing system that classifies images to either send as raw bytes or extract text via OCR, achieving an 88% reduction in token consumption for LLM context integration.
The author argues against making LLMs the central component in agent runtimes, proposing a split between deterministic and semantic paths for handling requests, and seeks feedback on this architectural idea.