Stop Sending Every PDF Page to a VLM: A Parser-First Document AI Pattern with Li

<p>If you've built any pipeline that ingests PDFs, you already know the demo is misleading.</p> <p>You test on ten clean, well-formatted invoices. Extraction works perfectly. You

<p>You opened ChatGPT before Slack this morning.<br /><br /> Not for anything complicated. Just to figure out how to begin.</p> <p>That small move is already changing what

<h1> How I Caught My AI Agent Lying to Me (And What It Taught Me About Autonomous Business Systems) </h1> <p>Three weeks ago, my AI agent filed a status report claiming £17.97 in

<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown

arXiv:2603.22651v1 Announce Type: new Abstract: The adoption of large language models (LLMs) for structured information extraction from financial documents has accelerated

<p>Hey Dev Community! I originally published a version of this breakdown over on my Medium, but I wanted to share the full technical breakdown directly with the engineers here. If

<h1> Document AI Toolkit </h1> <p>Turn unstructured documents into structured, queryable data. This toolkit provides complete pipelines for parsing PDFs, extracting tables,

<p>I spent the early 2000s writing parsers. HTML scrapers with regex that would make you cry. XML deserializers that handled seventeen flavours of "valid". CSV readers that knew a