Users are experiencing "task-completion regression" with ChatGPT, where the AI Assistant increasingly explains its plan to complete a task rather than directly performing it. This leads to more conversational turns, higher costs, and reduced perceived usefulness for users engaged in writing, coding, and editing. Recommendations include optimizing for progress per turn, defaulting to partial completions, avoiding future-tense promises, and distinguishing planning from execution to maximize useful work per interaction. AI
IMPACT This feedback highlights a critical user experience issue that could impact adoption and perceived value of large language models in practical applications.
RANK_REASON User feedback and critique of an existing AI product's performance.
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