In the previous architectural deep dives, we defined what we are building: a Purchase Order processing system powered by Vision-Language Models (VLMs). Now, we shift gears to how we build it. This post serves as the engineering log for setting up the core AI Inference Service. We will configure the environment, deploy the Qwen2-VL-7B-Instruct model … Read more
At this stage, the AI has done its heavy lifting. It has “seen” the document, reasoned about its content, and provided a structured response. But in an enterprise environment, “high probability” is not enough. We need certainty. This post details the Human-in-the-Loop interface—the cockpit where operations teams transition from data entry to exception management. 1. … Read more
The design of this system intentionally prioritizes simplicity, determinism, and human authority. We use AI to power the heavy lifting of extraction, but the workflow is triggered and managed by explicit human actions. This post details the operational workflow, from the moment a PDF hits the disk to the moment data enters the ERP. 1. … Read more