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Learn to evaluate AI-generated free body diagrams through this 27-minute technical demonstration that stress-tests Google Gemini's image generation capabilities on classic mechanics problems. Explore 11 fundamental physics scenarios including inclined planes, circular motion, and systems involving weight, normal force, tension, friction, spring force, and applied forces. Analyze the AI model's strengths in creating technically accurate diagrams while identifying common pitfalls such as ambiguous force directions, mirror-flipped outputs, and breakdown points when prompts become complex or when the system reverts to ASCII-style representations. Discover practical limitations including prompting reliability and model constraints that affect diagram quality. Master effective prompting techniques using the provided template to generate clean, labeled force diagrams while learning to critically evaluate AI output for accuracy in force directions, particularly friction and vector components. Develop skills to use AI as a drafting tool while maintaining the essential ability to verify that generated diagrams accurately represent the physical situation and chosen reference frame.
