Solving the LLM Black Box Problem with Structured Reasoning

The "black box" problem in Large Language Models is often discussed as a philosophical hurdle, but for engineers building high-stakes vertical applications, it is a hard technical bottleneck. In domains like legal tech, medical diagnosis, or financial auditing, a correct answer without a verifiable trace is often as useless as a wrong answer. Anthropic’s recent research, "Teaching Claude Why," addresses this head-on. It moves the conversation from simple Chain-of-Thought (CoT) prompting—where we