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Building a Smarter Medical Claims System for a Multi-State Future In today’s healthcare landscape, filing a medical claim across different states can feel like navigating a maze. Every jurisdiction, insurer, and provider network comes with its own rules, forms, and policy quirks. What should be a simple transaction becomes a fragmented, error-prone process—costing time, money, and, often, patient trust. But it doesn’t have to be this way. We now have

A Decentralized Architecture for Visual Forensics Introduction   Swarm-based image detection offers a powerful new approach to visual forensics. Instead of relying on a single model to assess whether an image is real, tampered, or fabricated, this architecture distributes the work across many lightweight, specialized agents. Each agent analyzes only part of the image or focuses on a specific kind of feature, allowing the system to detect subtle inconsistencies and

The Nobel was dead. Shocking news — but not as shocking as the image he held in his hand: a still frame, grainy and damning. It showed the Protectorate — chief advisor to the royal — mid-altercation, the crack of a neutron pistol frozen in time. Enter the investigator. She didn’t look like a detective. More like a seer, or one of those wandering subjects paid to uncover lies. She

Case Study B: Revisiting the Peanuts and Apples Problem   In a Substack article I described another precursor swarm, this problem is often sometimes thought of as a Turing test for LLMs but can be solved with multi-agent technology. Layers and Peanuts Another common “unsolvable” problem may actually be solvable with advanced LLMs that employ agents. I explored how this may be solved in depth in a previous article, but