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Cases
Sanitized evidence from real AI application delivery work.
These summaries focus on the problem, architecture, implementation tradeoffs, and result without exposing private customer data.
AI Report Pipeline For Health Check Workflows
The pipeline established four production-oriented generation paths for recommendations, medical explanations, advice, and contradiction detection; recommendation outputs were checked against the institution catalog before fields could pass through, contradiction detection accumulated 13 named false-positive exemptions, and writing rules were formalized for both explanation and advice outputs.
Private Fund Contract Information Extraction
A single 80–150 page contract (~100k characters) goes from upload to a structured field draft in about 2–3 minutes, versus roughly 1–2 hours of manual reading and entry per contract; extraction covers 13+ core field types, and an offline golden-set evaluation keeps every prompt and process change measurable at the field level.
Macro Analysis Report: Turning Market Inputs Into Traceable Judgement
The full pipeline runs nightly in about 00:30–05:00 with the report ready before 5 a.m., covering 23+ macro indicators (~14 domestic activity indicators and ~9 U.S. macro indicators); daily volume converges from thousands of news insights to about a hundred indicator-level insights and one fixed-structure report, with policy direction kept as a traceable time series back to source material.
Evidence-Backed RAG For Internal Knowledge Work
The system connects tens of thousands of internal reports and tens of millions of news items; answers begin streaming in about 3–5 seconds and complete with citations in roughly a dozen seconds, supporting 10+ follow-up turns without losing the thread and refusing when evidence is insufficient — so users spend less time finding material and more time judging it.