Zero-edit foundation, producing videos in 10 minutes with AI tools—offering video production services for small and micro enterprises

With the maturation of AI video generation tools, a new monetization pathway is emerging—assisting small merchants without video production capabilities to create promotional content. Low entry barrier, minimal startup cost, and real market demand.

How This Workflow Operates

The core concept involves breaking down a 60-second city promotional video into six segments, each approximately 10 seconds long, generated individually via AI and then composited. The process consists of five steps:

Step one: Use ChatGPT for pre-production planning. Task the AI with generating a full script, a six-segment shot breakdown framework, and detailed video generation prompts for each segment. The script defines the overall tone, the shot breakdown determines visual sequencing, and the prompts dictate final output quality. The more granular the initial planning, the smoother the production flow.

Step two: Generate shot reference images using GPT Image. Produce four images per segment, totaling 24 images for six segments. These images are not used directly as final frames but serve as visual references for the next stage, ensuring consistent urban aesthetic, uniform shot atmosphere, and stable visual elements across scenes.

Step three: Generate video segments sequentially using Douyin or Seedance. Import reference images and prompts in order, generating each 10-second clip independently. Segment-by-segment generation allows finer control over camera movements; if one segment fails to meet expectations, only that segment needs to be regenerated—no need to restart the entire video.

Step four: Compose the final video using Codex with the HyperFrames plugin. Stitch the six segments together along a timeline while automatically generating subtitles. This stage transforms individual clips into a complete, polished video product.

Step five: Complete voiceover and audio design using CapCut. Add voiceovers, background music, and ambient sounds. Ambient audio is crucial—it eliminates the "plastic" feel often associated with AI-generated visuals. Adding cicada chirps and bird calls to morning scenes, water flow near rivers, and car engine sounds on city streets—all subtle audio details make the video feel authentically shot.

The True Scale of Market Demand

Small and medium-sized merchants universally require promotional videos, yet traditional production costs remain prohibitively high. A homestay owner aiming to produce a promotional video for booking platforms may receive quotes ranging from 3,000 to 20,000 RMB from professional teams. For scenic area updates, costs are even higher.

The core advantage of AI video production lies in reducing production costs to nearly zero. On the tooling side, ChatGPT is free, Douyin offers free quotas, and CapCut is entirely free, while commercial tools like Seedance operate within an affordable subscription model. Although output quality doesn’t reach cinematic standards, it is sufficient to meet content requirements on platforms such as TikTok, Xiaohongshu, and Meituan.

Revenue Model & Startup Costs

Pricing-wise, a single 60-second promotional video can be charged between 800 and 1,500 RMB. Compared to traditional production methods, this price point offers clear cost advantages for merchants. For producers, once familiar with the workflow, a single video takes about 1 to 2 hours to complete—resulting in a highly competitive hourly rate.

Acquisition primarily relies on portfolio demonstration. Publish completed promotional videos on short-video platforms, showcasing diverse cityscapes and business types. Merchants who see these examples are likely to initiate inquiries directly.

Startup costs are virtually zero: a standard computer, several free or low-cost AI tool accounts, and a short-video platform account. No need to purchase photography equipment or rent editing software.

Required Competencies

This approach requires minimal technical expertise, but two skills are particularly critical:

First, visual aesthetics. While AI tools execute the work, the quality of the output depends heavily on the operator’s ability to describe compelling scenes accurately. The level of detail in prompts directly impacts final output quality.

Second, sustained content creation drive. Acquisition channels rely primarily on the persuasive power of published works, requiring continuous updates of case studies on short-video platforms. Without a solid portfolio, trust-building becomes extremely difficult.

Risks & Boundaries

The ceiling for this model is limited. Under solo operation, one can handle 5 to 10 projects per month, yielding monthly income in the thousands. It is unsuitable for those seeking high returns, but ideal for beginners looking to enter the AI monetization space through a low-barrier entry point and gain hands-on experience with AI tools.

Another risk is intensifying competition. As AI video tool accessibility continues to decline, more participants will flood this market. Early advantages stem from accumulated case libraries and customer trust. In later stages, specialization may become necessary—focusing on niche sectors such as food & beverage, homestays, or scenic areas.