Don't drown in repetitive document processing tasks - build AI agents that can split, extract, and orchestrate complex document workflows at scale. This latest blog post by @tuanacelik shows you how to combine LlamaCloud's document processing tools with LlamaAgents, to handle operations like resume screening, invoice processing, and contract management. 📄 LlamaSplit intelligently categorizes pages in multi-document files - upload a concatenated PDF and get back organized document segments 🔍 LlamaExtract handles structured data extraction using your custom Pydantic schemas with confidence scores 🤖 LlamaAgents Workflows orchestrates the entire process with fan-out/fan-in patterns for concurrent processing ⚡ Complete example walks through processing a 100-page resume book from splitting to structured candidate data We demonstrate a real resume book processing agent that automatically separates individual resumes from curriculum pages, extracts structured candidate information, and validates everything against your data models. The same patterns work for invoice decks, contract batches, and any repetitive document workflow. Read the full tutorial with code examples: