Production AI usually breaks in the data layer, not the model
Rich_Shopping_9882 · reddit · 2026-07-26
The author argues that in real production demos, the model is often not the bottleneck. What breaks first is usually the data layer: stale sources, missing context, and no reliable way to trace where an answer came from.
They describe building demo pipelines such as sales scoring and prediction-market analysis, and finding that grounding/explainability mattered most. They mention using Corvic as a context layer so every output can be traced back to a real source.
The broader question they raise is what other teams use to solve ingestion and grounding, since the industry still talks about those problems far less than it should.
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