1+ day, 15+ hour ago   (1738+ words) I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from. I built a complete, working implementation in pure Python and shared actual benchmark numbers from real runs…...

1+ week, 4+ day ago   (1817+ words) What each one solves, and runnable code you can paste into a notebook. Anyone can now build an LLM demo with a single API call. Getting that same feature to survive real users, real data, and a real bill is…...

1+ week, 5+ day ago   (1426+ words) What I learned after thinking more carefully about Structured Outputs on messy, incomplete data Three weeks after I turned on Structured Outputs for a pipeline that parsed payment confirmation messages into transaction records, I noticed that our reconciliation job started…...

3+ week, 6+ day ago   (1680+ words) A one-shot pipeline commits to its first try: parse once, retrieve once, generate once, return whatever comes out. When retrieval comes back empty or the answer is half-formed, there is no second chance. A loop gives the pipeline one: notice…...

1+ week, 6+ day ago   (1470+ words) How to apply the latest context engineering guidelines to your day-to-day data science work There are so many positive sides that come with using systems like Claude; all the repetitive, routine coding gets automated, researching is quicker, and debugging becomes…...

2+ week, 11+ hour ago   (1306+ words) Blueconic sets this cookie as a unique identifier for the BlueConic profile. Four skills worth adding to your workflow today if you don't want to be left behind A couple months ago I wrote about 3 Claude skills every data scientist…...

2+ week, 4+ day ago   (1842+ words) Enterprise Document Intelligence [Vol.1 #14C] - One hour with two people, six to ten fields, and the two signals that separate a real column from one that will break a filter later A lot of RAG work right now goes into letting…...

2+ week, 5+ day ago   (1470+ words) Enterprise Document Intelligence [Vol.1 #M3] – The ten positions the series argues from, and the map of every article that argues them This article is a manifesto of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks....

2+ week, 5+ day ago   (1708+ words) A lightweight runtime layer that separates instructions, evidence, memory, and tool output before they reach the model This article is for anyone building agent systems who assemble prompts from multiple sources (retrieved documents, conversation history, tool outputs, or system instructions)…...

2+ week, 6+ day ago   (1761+ words) 28 debugging experiments reveal that AI struggles less with complexity than with missing information. If you’ve watched a coding agent in action, you’ve probably noticed the default workflow: let the AI handle the routine bugs, but step in when the problem…...