AI video assets: generation, finishing and commercial checks

Decide what should be generated

A whole explainer does not have to be generated. Identify the insert, abstract backdrop or transition where generation could help, and keep exact text, pricing, logos and screens in a controlled step. Reject a shot that implies a product capability that does not exist, even if its visual treatment is attractive.

Compare tools with one shared brief

Use the same reference material, composition and acceptance criteria when evaluating Runway, Firefly, Pika or Luma. Record model and subscription separately. An application offering partner models can overlap with another provider’s models, so choosing an interface is not necessarily choosing an independent generation technology.

Count attempts and review work

Fifteen accepted seconds can require a much larger set of candidates. Track generated material, corrections, rejection reasons and finishing effort, then map that workload to the current subscription. Neither an old free allowance nor an isolated unlimited label establishes how many approved deliverables your particular workflow can produce every month.

Return to the complete video

Assemble accepted assets with narration, captions and controlled factual information, then review them in the target player. If the main task is caption correction on existing footage, an editor such as VEED may be more relevant than another generator. Preserve sources and production settings so the next responsible editor can revise the release.

• AI product B-roll: a workflow that protects factual accuracy
• Adobe Firefly vs Runway: compare the workflow and subscription, not just the model
• Pika vs Luma: short-shot evaluation and current subscription checks
• Runway credit planning: models, seconds and rejected shots
• Automatic caption quality checks before delivery