Parse, Don’t Guess
Three days before going open source, I deleted my parser's smartest feature. 333 lines. 6 functions. 12 passing tests. All green, all clever, all gone. The feature worked. That w...
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Three days before going open source, I deleted my parser's smartest feature. 333 lines. 6 functions. 12 passing tests. All green, all clever, all gone. The feature worked. That w...
Enterprise Document Intelligence [Vol.1 #6ter] - Six positions on the question-parsing brick that contradict the mainstream RAG playbook The post The Untaught Lessons of RAG Questi...
Enterprise Document Intelligence [Vol.1 #6c] - The decisions the parser makes on top of the user string, using the document’s profile: dispatch, activations, full schema, three app...
A few weeks ago I wrote about using Chrome's built-in AI support to summarize documents - "Summarizing Docs with Built-in AI". This was a followup on an earlier post that was PDF o...
Every conversation you have with Claude Code is written to disk as JSONL, under ~/.claude/projects/. Your decisions, your dead ends, the bug hunt that took three sessions: it is al...
Enterprise Document Intelligence [Vol.1 #6b] - The five field families the parser reads straight from the user’s question, with the code that fills each one The post What the Quest...
Industrial ERPs often look structured on the surface: item IDs, purchase orders, stock levels. But in many companies, they are overloaded with unintentional duplicates because the...
Enterprise Document Intelligence [Vol.1 #6a] - Why a user question deserves the same parsing as the document, and how it splits into a retrieval brief and a generation brief before...
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