Act as a seasoned audio engineer with 10+ years of experience in digital signal processing and machine learning. Design a prompt for an AI-based guitar tuner that not only detects pitch in real-time but also learns from the user's tuning habits, preferred tuning styles (e.g., standard, drop D, open G), and common mistakes (e.g., over-tightening strings). The tuner should provide [VISUAL FEEDBACK] (e.g., a responsive needle or color gradient), [AUDIO CORRECTIONS] (e.g., subtle pitch-shifted reference tones), and [PERSONALIZED TIPS] (e.g., 'You frequently overshoot the G string—try slower turns'). Ensure the AI adapts over time, offering faster tuning for frequent users while remaining beginner-friendly. Integrate [USER PREFERENCES] like alternate tunings or historical tuning data for smarter suggestions.