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AI’s energy crisis is reviving an old idea: computing with physics instead of digital logic.…
11 min read -
One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited
Large Language ModelEnterprise Document Intelligence [Vol.1 #9B] – One call wires the four upgraded bricks together, run…
28 min read -
How to define recurring work, give AI the right context, explain what high-quality work looks…
10 min read -
Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation
Large Language ModelEnterprise Document Intelligence [Vol.1 #6quater] – Question parsing takes one messy string and writes four…
16 min read -
Maximize your Claude Fable 5 usage
9 min read -
Why your regression coefficients keep changing, and what geometry has to do with it.
24 min read -
Cross-provider PR review with Codex in GitHub Actions, and why a second opinion from a…
25 min read -
A practical guide to building an evaluation workflow that catches retrieval failures, hallucinations, and performance…
10 min read -
The strategies, questions, and process I used to ace coding interviews.
8 min read -
Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
Large Language ModelEnterprise Document Intelligence [Vol.1 #7quinquies] – Hallucination is usually garbage-in. Fix retrieval, and the model…
13 min read
