The Model Filled the Form. Then It Overwrote the Field a Human Fixed.
Extraction quality is the easy conversation. The save is where a confident guess turns into the record everyone else trusts.
6 min
#reliability
7 posts tagged “reliability”.
The Smallest Eval Loop That Keeps an AI Feature Honest
You don't need a research team or a benchmark platform. You need real examples, a place to look at failures, and a habit you actually keep.
6 min
My AI Delivery Principles: Reliability, Observability, ROI
The delivery principles I use to keep AI projects reliable, observable, and tied to measurable business value.
1 min
Production Patterns: Integrating AI-Powered Mocks into Development Workflows
Patterns for fitting AI-powered mocks into real development workflows, CI pipelines, and production-like testing.
5 min
Racing LLMs: The Rust Fan-Out Bridge for Ultimate Low Latency and Reliability
How a Rust fan-out bridge can race multiple model providers to improve first-token latency and resilience.
6 min
RAG on Azure with pgvector: Practical Patterns for Production
A practical architecture for building production RAG systems on Azure with .NET, Postgres, and pgvector.
7 min
Prompt security for enterprises
A practical guide to defending enterprise LLM systems against prompt injection, tool abuse, and secret leakage.
6 min