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Local Multi-Agent Desk Flags Battery Contamination in Recycling Loads Despite Clean Numbers

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A personal experiment called ResidueDesk-AI uses a local multi-agent setup to triage recycling loads at a fictional materials recovery facility. Its author built a semantic model defining loads, commodities, and suppliers, with measures for weight, residue, and moisture, so agents share one definition of contamination. In the motivating case, an HDPE load with acceptable residue was quarantined because a spot-check note mentioned a battery pack. The system runs on a laptop without model APIs and, on ten sample tickets, produced two accepts, four resorts, three diverts, and one reject. The author stresses this is a personal project, not a plant procedure, and has not been connected to a live scale.

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Local Multi-Agent Desk Flags Battery Contamination in Recycling Loads Despite Clean Numbers · ShortSingh