Glossary1 min read

    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.

    By Cinemagiq · June 2, 2026

    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.

    In plain terms

    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.

    For AI video, think like a cinematographer

    Strong prompts cover:

    • Subject and action
    • Shot type (wide, medium, close-up)
    • Camera movement (push-in, pan, handheld)
    • Lighting and mood
    • Style

    A key technique

    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.

    Frequently asked questions

    Why does prompt engineering matter for AI video?

    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.

    Put this into practice

    Script, storyboard, generate, and assemble in one AI-native workspace.