Pre-project material preparation checklist
Before launching an AIGC project, the brand must organize a complete set of reference baselines. This is not only an instruction to the production team, but also the sole basis for subsequent acceptance. You need to provide a list of core selling points, clarifying which information absolutely cannot be changed. Meanwhile, prepare high-definition product photos or 3D model files for texture mapping reference during the generation phase. List the visual elements that must appear, such as the standard color values of the brand logo, specific fonts, or signature props. For character-based content, determine the actor's facial feature descriptions in advance or provide authorized portrait photos. These materials will serve as the basis for prompts during AI generation and as anchors for post-production manual corrections. Missing any key visual asset may cause the generated results to deviate from the brand tone, increasing rework costs.
Technical assessment of visual continuity
The biggest risk of AIGC video lies in inter-frame jitter and logical breaks. During acceptance, first play frame by frame at 100% resolution, focusing on whether object edges exhibit flickering or blurring. Check whether the lighting direction in the scene remains consistent with camera movement, avoiding a situation where sunlight enters from the left one second and suddenly becomes overhead lighting the next. For character movements, confirm that limb proportions and joint bending comply with the laws of physics, avoiding extra fingers, twisting, or floating. The perspective relationships of background elements must be stable and cannot result in background grid misalignment due to subject movement. If minor flaws are found, they can be fixed with post-production masks; if structural errors occur, the segment must be regenerated. Establish a strict continuity checklist, recording the location and type of each anomaly to trace the source of the problem.
Verification of product facts and brand guidelines
AI-generated images often contain hallucinations that may alter the product's color, shape, or functional details. During the acceptance process, generated visuals must be compared pixel-by-pixel with the official product image library. Verify that text on packaging is clearly legible and correctly spelled, especially brand names and legally required warning labels. Check whether the product's material representation is realistic, such as whether the reflective quality of metal or the refractive index of glass matches actual physical properties. For fictional feature demonstrations, prominent disclaimers must be added to avoid misleading consumers. If competitor comparisons are involved, AI is strictly prohibited from fabricating negative features about their products. All content involving specific parameters or efficacy claims must be confirmed in writing by the legal or product department before use. Any unverified factual deviations may trigger legal disputes or a crisis in brand trust.
Copyright boundaries and authorization risk assessment
The copyright ownership of AIGC content currently exists in a legal gray area, requiring brands to exercise extra caution. First, review the terms of service of the AI platform used to clarify the scope of commercial usage rights for generated content. Some platforms prohibit the commercial use of works in specific styles or require watermarks to be retained. Second, investigate whether the generated content inadvertently includes third-party elements protected by copyright, such as the outlines of well-known characters, protected artwork styles, or specific musical melodies. If real-person likenesses are used, a portrait rights authorization form must be signed, specifying the usage period and channels. For models with unclear training data sources, performing a reverse image search is recommended to eliminate infringement risks. Retain all prompt records and generation logs as an evidence chain for potential disputes. Never deploy highly sensitive creative assets for large-scale distribution without explicit written authorization.
Version management and source file delivery
Effective version control is key to ensuring project traceability. Each deliverable should follow a clear naming convention, noting the date, version number, revision details, and person responsible. Distinguish between working files and final masters; working files should retain layers, masks, and raw assets for future fine-tuning. Final masters must meet the publishing platform's format requirements, including resolution, frame rate, and encoding format. The delivery checklist should include all necessary metadata tags, such as color space information and copyright notices. If multi-language subtitles are involved, provide separate SRT files or HD versions with embedded hard subtitles. Disorganized file management leads to inefficient communication and may even cause outdated versions to be sent by mistake. Establish a unified cloud collaboration directory with restricted edit permissions to ensure only one latest valid version exists.
Post-production execution and revision workflow
Purely AI-generated assets rarely meet broadcast standards directly and typically require post-production intervention. During the editing phase, redundant segments must be trimmed according to pacing needs, filling gaps left by generation failures. The color grading stage should unify the tones of different segments to integrate them into the overall visual style, masking AI-generated noise or unnatural transitions. Sound design is critical; adding ambient sounds, sound effects, and background music can enhance immersion and divert the audience's attention from visual flaws. If facial expressions appear stiff, digital human tools can be used for micro-expression replacement or lip-syncing. Subtitle proofreading requires manual review combined with speech recognition results to ensure there are no typos and the timeline is accurate. The goal of this stage is to improve completeness while avoiding the creation of new content. Over-reliance on post-production fixes will negate the efficiency advantages of AIGC, making the accuracy of initial prompts even more important.
Common scenarios for acceptance failure
Not all projects are suitable for an AIGC approach. If a brand emphasizes extreme artisanal craftsmanship and uniqueness, the homogenized style of AI generation may fall short. For content requiring precise displays of complex mechanical structures or microscopic scientific principles, AI's physical simulation capabilities remain insufficient and can easily produce misleading visuals. When a project involves highly sensitive PR issues or political stances, AI's unpredictability can introduce uncontrollable risks. If the budget is severely constrained and cannot cover the high costs of extensive manual post-production revisions, the low marginal cost advantage of AIGC cannot be realized. Furthermore, if the target audience is skeptical of new technologies, forcing the use of AI assets may damage the brand's professional image. In these cases, traditional filming or hybrid production may be the safer choice. Clearly defining unsuitable scenarios helps allocate resources appropriately and avoid wasted investment.
Recommended next steps
We recommend conducting a small-scale AIGC proof-of-concept test before the official shoot. Select the three most representative scenes, generate samples using different models, and evaluate visual effects, stability, and compliance. Adjust the prompt strategy and post-production workflow based on the test results. Work with the legal team to establish internal AI usage guidelines and clarify approval checkpoints. Choose partners with extensive AIGC experience, as they can provide more professional technical guidance and risk control. Stay continuously attuned to industry policies and technological advancements, and flexibly adjust your strategy. Through rigorous workflow management, maximize the value of AIGC while mitigating potential risks.
If you are preparing for an AIGC advertising asset project, you can first organize the brief, reference visuals, product or company materials, delivery platforms, and copyright scope, then visit theAIGC Video Services pageto ground communication from abstract preferences to executable production boundaries.
