5 ways to make Gemini your everyday AI art teacher (www.techradar.com)

A TechRadar writer tested Google’s multimodal Gemini as a private art tutor and outlines five practical ways to use it: as an AI art critic, a technique teacher, a style-play sandbox, a visual-storytelling coach, and a tool for cross-medium critique. Gemini parsed uploaded images for composition, anatomy, color, lighting, perspective and style, gave stepwise, actionable feedback (e.g., “what three things to improve”), remembered prior suggestions across iterations, produced a week-long practice plan using methods like Loomis, and offered targeted fixes for shading, inconsistent shadows, framing and camera-angle choices. It also transformed photos into painting-style recommendations and suggested how to adapt line drawings into cubist, pointillist or Renaissance-inspired looks. For the AI/ML community this is a neat demonstration of matured multimodal reasoning and pedagogical capability: models can now give fine-grained, context-aware visual critique, generate structured learning plans, and apply stylistic transformations—features that enable scalable, personalized creative tutoring. Technical implications include stronger image–text alignment, short-term session memory, and role-based prompting for coaching behavior. Caveats remain: variable quality on complex works, potential hallucinations or stylistic copyright concerns, and the fact that AI complements rather than replaces human instructors. Overall, Gemini showcases practical, real-world uses of generative multimodal assistants for art education and creative augmentation.