Engineering notes on AI, ML, custom apps, and the messy bits of shipping production software.
A practical, vendor-neutral guide to building an AI assistant grounded in your own handbook, policies, and support history, plus the failure modes to avoid.
A practical AI development guide, when retrieval-augmented generation beats fine-tuning, when prompt engineering wins, and the cost equation most teams skip.