Tech article

60% of my LLM backlog was never a question for an LLM

Community description: We run a nightly job that takes words scraped off food labels and works out what ingredient each one...

Dev.to | Sep 14, 2026 | Daniel Pertu

Automated excerpt

We already had both. 4 percent was a known ingredient wearing a modifier. Every resolution they propose goes through the same validation as a model answer: the same lineage plausibility checks, the same health guards, the same engine-level overlay validation. scan sees every word of it. Roughly 60 percent of the backlog resolved with no model call.

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