Post Archive with Feature Rows

How I Passed AZ-104 in Three Weeks with an AI-Assisted Learning Loop

5 minute read

My AI-assisted approach to AZ-104 preparation: turn practice questions into structured material, record misconceptions, and retest with a personal mock-test site.

Beyond Summarization: Extracting Critical Fields that Matter for Insurance Decisions

10 minute read

Insurance teams often ask LLMs to summarize documents, then struggle to define what a good summary looks like. A better approach is to start from the decision, extract the critical fields, preserve their evidence, and use narrative generation only where it adds value.

From Demo to Production: Four Hard-Earned Lessons from Shipping GenAI for Insurance Claims

8 minute read

Four hard-earned lessons from turning a promising GenAI claims demo into a production-ready solution—from defining meaningful measurements and managing technical debt to building effective engineering and domain-expert feedback loops.

OCR Evaluation, Rebuilt for Insurance Claims in GenAI Era

3 minute read

Processing scanned claim PDFs used to be “good enough” if the text was mostly readable. In the GenAI era, that’s no longer true: if OCR misses a checkbox, scrambles a table, or loses layout context, the document becomes unreliable for extraction, retrieval, and automated decisions. Insurance makes this worse—many documents are old, low-quality scans with handwriting and dense forms—so we need evaluation that reflects real usability, not just character-perfect transcription.

DSPy, Meet Enterprise: Plugging in an Internal LLM Endpoint

2 minute read

DSPy is powerful, but many enterprise environments can’t call public LLM endpoints directly. This guide shows a minimal, practical way to plug an internal (non-standard) LLM service into DSPy by writing a custom dspy.BaseLM adapter.