Beyond the Stateless Prompt: Building an Auditable Product Intelligence Pipeline with Cascadeflow and Hindsight

Pasting a 10,000-line CSV of customer reviews into a stateless LLM context window is lazy engineering, and the results show it. You get hallucinated aggregates, ignored edge cases, and zero traceability when a stakeholder asks why a critical bug was classified as low priority. When building PulseIQ - an enterprise platform designed to synthesize unstructured customer feedback into prioritized engineering action items - we rejected the stateless "dump-everything-into-GPT" pattern. We needed a system that was deterministic where it mattered, semantic where it counted, and fully auditable.