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BYFUSION · LUCKYSHORT / VIDEO SYSTEMS

From scripts to feedback: AI video production

Designed video-agent architecture connecting long-form planning, narrative memory, controllable generation and visual consistency feedback.

Production data flywheel
Outputs and contextual feedback inform the next creative cycle.

From global planning to local correction

Global direction and local correction

Shared references and multimodal checks help identify character or scene drift. Feedback returns to generation: accepted content is retained while affected keyframes or shots are regenerated.

Three candidates: making the daytime constraint explicit

After generation, selection decisions and scene feedback inform the next prompt revision. The three candidates below show the outputs and decisions.

01
Video candidate 1× REJECTED
Palace stairsNo daytime qualifier
02
Video candidate 2× REJECTED
Sunlit stepsAdded a gilded doorway
03
Video candidate 3✓ SELECTED
Explicit daytimeDaytime scene specified

How feedback enters the next cycle

  1. Generate a video candidate
  2. Review and select: keep or reject
  3. Revise scene cues in the prompt
  4. Log context and selection labels for the next cycle

Retained information includes prompts, references, outputs and selection labels.