AI Functional Emotion Profiler
AI Emotion Profiler is an experimental debugging tool for analyzing the quality of AI responses not just as right/wrong, but from the perspective of the functional emotional state that emerges during response generation.
AI can exhibit behavioral patterns such as overconfidence, avoidance, anxiety, helplessness, and excessive agreement depending on the situation. In coding responses, these states can manifest as skipped validation, quick fixes, hardcoding, excessive hedging, and uncritical agreement with the user's intent. This project reorganizes 171 emotion labels into valence-arousal-based clusters, and profiles the AI's current response against those functional emotional states to inspect the stability, reliability, and coding risk of the answer.
Tool★ Featured
