What is applied AI? A practitioner's definition.
The line between "AI" and "applied AI" is the difference between a demo and a workflow that someone is responsible for. Here is how we draw it.
Practical writing on applied AI, RAG, workflow modernization, and what it actually takes to put AI in production. No hype, no thought leadership.
Retrieval-augmented generation in plain language: what it is, what it isn't, and the three failure modes we see most often in enterprise builds.
Why "human review" is not a checkbox — and how to design review points that catch the work that matters without strangling throughput.
A practical, posture-aware walk-through of how to put AI into a gov-con workflow without setting your compliance team on fire.
The five stages we see every AI product pass through — and the one that kills most of them. (Hint: it isn't the model.)
CMMC explained for technical leaders, and a practical view of where AI accelerates readiness — and where it absolutely should not.
The quote-to-cash workflow, dissected. Where the time goes, where AI helps, and where it just adds an expensive new place for errors to hide.