RE:CZ

AI Hosts Enter the Scene: How Interviews Become Cognitive Alignment Engines

AI Interview Design

This article argues that interviews are a high-information-density, high-efficiency, low-burden format for cognitive alignment, capable of continuously aligning issues and revealing implicit knowledge. The author predicts that questioners will become AI-driven more quickly and designs a three-step questioning protocol (lightweight first, then novelty-seeking, finally specific) and an AI hosting process, emphasizing that a sense of control, value, and relevance are key to interview quality. The article aims to elevate interviews from an art to an engineered protocol, serving as next-generation cognitive infrastructure.

• ✨ Interviews are an efficient cognitive alignment format that can reveal implicit knowledge and continuously align issues.
• ✨ Questioners will become AI-driven more quickly, requiring stable questioning protocols such as lightweight, novelty-seeking, and specific steps.
• ✨ Interview quality depends on a sense of control, value, and relevance, avoiding questions that are too heavy, outdated, or vague.
• ✨ AI hosts should have cold-start and branch-switching capabilities, optimizing processes to maintain question alignment.
• ✨ Interviews can be engineered as next-generation cognitive infrastructure to enhance knowledge mining efficiency.