Building CDDBS — Part 5: From Prototype to Production

The Production Gap There's a moment in every project where the core feature works but the system isn't usable. The LLM generates good briefings. The quality scorer catches structural issues. The narrative matcher flags known patterns. An analyst can run a single analysis, wait a minute, and get results. But then they want to analyze 5 outlets and compare them. Or email a briefing to a colleague as a PDF. Or check whether the system's been producing more failures than usual this week. Sprint 5 of CDDBS was about closing these gaps — the features that separate "works on my machine" from "works for the team." This post covers batch analysis, export formats, operational metrics, and the frontend changes that tie them together. Batch Analysis The Problem A single CDDBS analysis takes 30-60 seconds (mostly Gemini API latency). An analyst comparing 5 outlets would need to submit 5 separate requests, track 5 separate report IDs, and manually correlate the results. That's a workflow problem. Th