Ask Chord: Powered by Anthropic

ask chord runs on anthropic's claude, a large language model built for reliability, safety, and consistent performance this page explains which models ask chord uses, how they're matched to specific tasks, and why we chose anthropic models in use ask chord uses three claude models, each matched to a specific job, with a fallback model if claude is unavailable task primary model fallback copilot chat claude opus 4 8 gpt 5 5 insights agent claude sonnet 4 6 gpt 5 5 audience smart naming claude haiku 4 5 — copilot chat handles conversational q\&a, where reasoning depth and context handling matter most insights agent handles analysis and synthesis tasks that run after data is fetched, balancing quality with speed audience smart naming generates concise names for saved audiences, a lightweight task suited to a fast, smaller model why anthropic we evaluated several leading ai models against chord's commerce use cases anthropic's claude stood out for three reasons output stability claude produces consistent, structured responses across repeated and varied inputs, reducing unexpected results reasoning quality claude handles complex, multi step logic reliably, which matters for tasks like forecasting, segmentation, and data interpretation safety by design anthropic builds safety and predictability into the core of their models, which aligns with how we think about trust in our platform faqs will model updates affect my existing prompts or workflows? no all existing prompts, automations, and integrations continue to work as before we will communicate any future model changes in advance is my data shared with anthropic? no your data is processed in accordance with chord's existing privacy and data handling policies see our privacy policy for full details who do i contact if i notice unexpected behavior? reach out to help\@chord co mailto\ help\@chord co or contact your chord account team