How I Passed AZ-104 in Three Weeks with an AI-Assisted Learning Loop
My AI-assisted approach to AZ-104 preparation: turn practice questions into structured material, record misconceptions, and retest with a personal mock-test site.
Writing
Notes from building applied AI
8 notesBeyond Summarization: Extracting Critical Fields that Matter for Insurance Decisions
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...
From Demo to Production: Four Hard-Earned Lessons from Shipping GenAI for Insurance Claims
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 effectiv...
OCR Evaluation, Rebuilt for Insurance Claims in GenAI Era
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 layo...
DSPy, Meet Enterprise: Plugging in an Internal LLM Endpoint
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 ...
Handling Long-Running Tasks in Modern Web Apps
In this post, I explore how modern web apps like RAGflow handle long-running tasks (such as OCR or keyword extraction) without relying on time-limited HTTP API methods. Instead, tasks are...
Private LLM Integration with RAGFlow: A Step-by-Step Guide
If you’ve found your way here, you’re probably already excited about the potential of the RAGFlow project and eager to see it in action. I was in the same position, so I delved into the c...
Predictive Underwriting In A Nutshell
Predictive underwriting is revolutionizing the insurance industry by harnessing data analytics and machine learning. This innovative approach streamlines risk assessment, enhances custome...