A user initially found Anthropic's Claude Opus 5 to be frustratingly verbose and inefficient, similar to other users' experiences. However, during a project involving CAN networking, Opus 5 unexpectedly performed well, successfully identifying errors made by Sonnet and proposing effective solutions. This positive experience was short-lived, as a subsequent attempt to create a simple skill using Opus 5 resulted in a disastrously complex and token-intensive process involving multiple agents, leading the user to question Opus 5's reliability for planning tasks. AI
IMPACT Highlights potential inconsistencies in large language model performance and user experience.
RANK_REASON User experience report on a specific model's performance.
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