Planning an AI video workflow with Nereo: from brief to reviewed shots

Disclosure: I help promote Nereo, a web-based AI video creation platform. I am sharing a practical workflow outline, not an independent review or a claim about campaign results.

A useful way to plan AI video work is to split the task into decisions that can be reviewed separately:

  1. Write the brief first: audience, intended message, aspect ratio, and any product details that must remain accurate.
  2. Make a shot list before generating: give each shot one visual purpose and describe the subject, action, setting, and camera direction.
  3. Choose reference material you have permission to use. Keep the subject and visual style consistent across the shots rather than changing several variables at once.
  4. Review generated visuals for inaccurate product details, unreadable text, and inconsistent objects before assembling the sequence.
  5. Watch the assembled video as a whole and check continuity, pacing, and whether it actually communicates the original brief. Generated footage should not be presented as evidence of real product performance.

Nereo supports starting from text, images, or a reference video. Its Agent workflow helps turn an idea into shots, generated visuals, and an assembled video, and it also supports AI image creation. Human review still matters at each stage.

For others working on content workflows, where is your main bottleneck: writing the shot plan, keeping visuals consistent, or reviewing the final sequence?