Video Prompt Layer Audit

video_prompt_layer_audit is a dependency-free Ruby helper for reviewing short AI video briefs before generation. It separates a concept into subject, motion, camera, and optional audio layers so missing instructions are reported deterministically instead of being discovered after a draft is rendered.

Why layered prompts help

A still image brief can describe what appears in one frame. A video brief also needs to explain what changes over time and how the camera behaves. When these instructions are packed into one sentence, conflicts are easy to miss: a static close-up may be paired with a fast orbit, or a slow action may be expected to fit into an unrealistically short shot.

The gem checks that the three core layers contain meaningful text:

• Subject: the person, object, or scene that must remain recognizable.
• Motion: the primary action, including a clear starting and ending state.
• Camera: one intentional behavior such as static, pan, track, push-in, or handheld.
• Audio: optional dialogue, ambience, effects, music direction, or silence.

Usage

require "video_prompt_layer_audit"

brief = {
  subject: "A cyclist in a weathered green jacket",
  motion: "Pedals steadily toward the camera",
  camera: "Low tracking shot from the side",
  audio: "Wind and distant waves"
}

VideoPromptLayerAudit.valid?(brief)
VideoPromptLayerAudit.issues(brief)
puts VideoPromptLayerAudit.summary(brief)

The output can be saved with a creative request or checked in a pre-generation job. It does not call a model and does not claim that a valid brief guarantees a specific visual result.

For creators translating the reviewed layers into a browser-based prompt workflow, Muse Video supports coordinated subject, motion, camera, visual, and audio direction. The underlying model is presented as preview-stage, so verify current access and product details on the live page rather than relying on cached limits or performance claims.

Review boundaries

Use the audit as an intake check, then inspect generated drafts frame by frame. Split concepts that require multiple camera setups into separate shots, record details that must remain fixed, and avoid presenting unverified outputs as production evidence.