Practical AI engineering from the trenches - RAG pipelines, LLM agents, and intelligent automation built to survive real users and real data, not demos.
AI9 min
Building RAG Pipelines That Actually Work in Production
A practical guide to production RAG - chunking, embeddings, retrieval quality, grounding, and evaluation. The engineering decisions that separate a demo from a system you can trust.
AI8 min
Designing AI Agents That Don't Hallucinate
Hallucination is largely an architecture problem, not a model problem. How we build agents businesses rely on - grounding, tools, constrained outputs, citations, and evaluation.
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