A visual guide to how graph neural networks work under the hood
Why the standard groupBy function isn’t enough
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Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch
Large Language ModelsFive failure modes that survive constrained decoding, and why your schema validator will never catch them.
The hidden assumptions behind the data we observe.
More informed decision-making through uncertainty quantification
What each one solves, and runnable code you can paste into a notebook.
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data
Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and few-shot prompting becomes a retrieval problem too
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy.
Quick and simple tips to help you write better agent instructions
Editor's Picks
A visual guide to how graph neural networks work under the hood
The hidden assumptions behind the data we observe.
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking
Quick and simple tips to help you write better agent instructions
How to apply the latest context engineering guidelines to your day-to-day data science work
As AI handles more of the execution, what work should belong to agents vs humans and why does that distinction matter?
The Variable Newsletter
Sorting through the good, bad, and ambiguous aspects of vibe coding
Don't miss our most-read and -shared stories of the past month
Deep Dives
More informed decision-making through uncertainty quantification
What each one solves, and runnable code you can paste into a notebook.
Enterprise Document Intelligence [Vol.1 #B1] - Three sources of one problem. User typos, fast-typing transcription noise, OCR character errors. Classical spell-check handles one of them. Embeddings carry the rest
How we stopped reviewing every agent action and started routing human attention where it actually mattered
Bagging hits a wall no amount of trees can break — here's the equation that explains why, and the experiment that proves it
A practical guide to navigate hierarchies, find routes, detect cycles and calculate degrees of separation
