It would be incredibly useful if Spur’s AI could be trained directly on our past customer chats — for example, from Jan 2024 to April 2025 — especially those on our support number. Instead of relying solely on help center articles or manually fed data, the AI would already “know” what worked in the past. It could automatically reference resolved edge cases, common solutions, and even handle unusual queries by recognizing how they were previously handled. Beyond problem-solving, the AI could use sentiment analysis on past chats to learn how to deal with different customer tones and behaviors. This would lead to more empathetic, tailored responses and faster resolutions — especially for returning customers. Why it’s valuable: • Removes the need to recreate support content the AI already “lived through” • Improves accuracy for edge cases and uncommon issues • Reduces onboarding time for the AI • Makes AI responses more nuanced and human-like by understanding tone/context Would love to see this as a premium or AI Max feature. Let me know if others feel the same — upvote if you’d use this!
