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…...

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, 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   (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…...

3+ week, 1+ day ago   (928+ words) Enterprise Document Intelligence [Vol.1 #7sexies] – The unit of retrieval doesn’t have to be a page or a paragraph. When the corpus carries tables, each body row with its column headers is a chunk in its own right, and it’s often the…...

3+ week, 2+ day ago   (1726+ words) A hands-on guide to fine-tuning LLMs for the real world We fine-tuned a 7B parameter model which completely blows foundation models out of the water, but just for this very narrow subtask: Filling out synoptic reporting templates for breast cancer. This…...

3+ week, 2+ day ago   (1731+ words) Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-threshold entity resolution. The architecture held up. The contradiction register refused to answer…...

3+ week, 3+ day ago   (1857+ words) A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding. When Kimi K3 came out in July with a context window…...