The Anatomy of a Medical AI Hallucination
Medical AI hallucinations become dangerous when plausible invention enters a clinical workflow. A physician-developer's guide to grounding, verification, harnesses, and human accountability.
Medical AI hallucinations become dangerous when plausible invention enters a clinical workflow. A physician-developer's guide to grounding, verification, harnesses, and human accountability.
DeepSeek Harness shows why physicians must understand the context, tools, permissions, logs, and human checkpoints that turn an AI model into a working system.
Claude Code, Codex, Antigravity, OpenClaw, Hermes, and Omarchy illustrate a durable lesson for physicians: choose the agent's workplace before delegating the work.
A clinical AI workflow needs more than a model and a prompt. Build the smallest system that can scope, retrieve, generate, verify, challenge, approve, execute, and audit the work.
Claude Code, Google Antigravity, OpenAI Codex, and DeepSeek Harness expose the architecture around an AI model. Physicians should compare that architecture before comparing model rankings.