How I Built an AI Document Pipeline That almost Never Hallucinates
A developer has created an AI document processing pipeline that prioritizes reliability over a single, perfect LLM. The system uses a three-layer architecture: structured JSON schema extraction, domain-specific rule validation, and a human-in-the-loop review for low-confidence extractions. This approach aims to catch errors systematically, rather than relying on a single, potentially brittle AI model. AI
IMPACT This approach offers a robust method for integrating LLMs into production document automation by managing their inherent unreliability.