Zhou Wenqiang’s public report presented business clues about creating copywriting according to the customer’s ideas and using AI to generate video footage. It inspired us to look into advertising services, but provided no ready-to-use contract, quote or acceptance templates. The delivery framework below is proposed by ChinaOPC and has not yet been used in real customer projects.
A first step could be to research the client brief: where the video is going to be used, who it is intended to speak to, what brand messages it wants to retain, and what material is provided by the client. Writing requirements into verifiable words helps distinguish creative goals from temporary ideas. Discussions here are of preparation methods and do not presuppose that any client has accepted these arrangements.
The second step can be to write down the deliverables separately. Whether scripts, storyboards, previews, official films and source files are within the scope of the service needs to be confirmed one by one; duration, aspect ratio, subtitles, dubbing and authorization should not be left in vague statements. These items impact workload and quotes cannot be determined based solely on speed of generation.
The third step is to study modification and acceptance. Which nodes are suitable for confirming direction and which changes will result in additional production require a common understanding before collaboration. AI output is random, and character consistency, picture continuity, and information accuracy still require manual inspection; this article does not carry out performance comparisons of specific models.
Finally, create a record of input: what happened with tool usage, material licensing, editing, communication, and rework. The current case does not disclose full costs, and this article does not fill in prices or profits. Readers can use this framework for local simulations and then judge what delivery responsibilities they can assume after completing the exercises.