What Is Prompt Engineering? (Definition)
Prompt engineering is the practice of writing inputs that get the best results from AI models. A clear definition with examples for AI image and video.
Prompt engineering is the practice of writing inputs that get the best results from AI models. A clear definition with examples for AI image and video.
Prompt engineering is the practice of crafting the inputs (prompts) you give an AI model to get the best possible output. For AI image and video, it means describing a shot precisely enough that the model renders what you actually want.
It's the skill of saying exactly what you mean. "An old man on a boat" and "medium close-up of an elderly fisherman at dawn, slow push-in, golden backlight, photorealistic" are the same idea - but only one is a prompt that produces a usable shot.
Strong prompts cover:
For shots needing exact composition, compose a still first and use image-to-video - rather than trying to force the framing through text alone.
→ Learn more in our full guide: Prompt Engineering for AI Video: A Cinematographer's Cheat Sheet.
Because the model only renders what you describe. Specific, film-literate prompts - covering shot type, camera, lighting, and mood - produce intentional, cinematic results instead of generic clips.
Script, storyboard, generate, and assemble in one AI-native workspace.