Core Decision Logic at the Project Initiation Stage
Before launching an AIGC commercial project, brands must first clarify the alignment between communication goals and content format. Not all brand needs are suitable for generative imagery. If core selling points rely on authentic physical product texture or precise functional demonstrations, pure live-action remains the preferred choice. Mixed production offers cost and efficiency advantages only when creative concepts involve surreal scenes, grand narratives, or visual spectacles difficult to build on location. Marketing leads should prepare a clear library of reference images rather than relying solely on text descriptions. These references should include lighting styles, color tendencies, and compositional logic to help the production team assess technical feasibility. Without specific visual references, style drift is likely in post-production, leading to rework.
Requirements for Completeness of Pre-production Materials
The production team requires detailed basic materials from the brand, which directly determines the smoothness of the subsequent workflow. In addition to standard brand guidelines and core selling points, delivery platforms and their latest technical specifications must be clearly defined. Different social media channels have varying requirements for aspect ratios, bitrates, and subtitle safe zones, which must be confirmed during the scripting phase. Furthermore, copyright scope is a frequently overlooked risk point. Brands must declare the legal source of all assets, especially those involving third-party IP or portrait rights. If AI-generated characters or scenes are planned, copyright ownership and usage terms must be agreed upon in advance to avoid legal disputes during commercial distribution. Failure to clarify these details will stall the project mid-stream.
Scene Planning and Staffing Strategy
Mixed production models require substantial changes to team structure. Traditional crews need to add roles such as AI Art Director and Technical Compositor. The AI Art Director is responsible for translating abstract creativity into executable prompt engineering and style frames during pre-production, ensuring generated footage aligns with brand tone. The Technical Compositor must be proficient in 3D software and node-based compositing tools to resolve perspective matching issues between live-action and generated footage. In scene planning, live-action shooting areas should be strictly limited to foreground subjects or key interaction points, leaving backgrounds and extended spaces for post-production generation. This division maximizes the authenticity of live-action and the imagination of AI, avoiding resource mismatch. Personnel collaboration requires a daily sync mechanism to ensure live-action progress aligns with AI testing iterations.
Standardized Execution Actions for Live-Action Shooting
In the mixed production workflow, the live-action portion serves to provide real-world anchors. The Director of Photography must strictly follow the storyboard to ensure light direction, lens focal length, and movement trajectories remain consistent with post-production generated footage. High-precision environmental lighting data and camera parameters, including color temperature, exposure values, and lens distortion information, must be captured on set. This data serves as constraints for AI generation, ensuring virtual elements integrate seamlessly into real scenes. Arbitrary changes to camera positions or lighting during live-action shooting will create significant perspective correction and lighting matching challenges in post-production, potentially causing visual errors. Audio recording is equally important; ambient sound must be recorded independently to provide a realistic foundation for post-production sound design.
Technical Boundaries and Control of Generative Imagery
While AIGC technology efficiently produces visual assets, its controllability remains limited. The production team must determine model stability during the testing phase to avoid character facial flickering or object structure distortion during formal production. For key product close-ups, combining 3D modeling with AI rendering is recommended to ensure geometric accuracy. Pure text-to-video generation currently fails to meet commercial-grade precision requirements and must be constrained using image-to-video control methods like ControlNet. Brands should understand that AI-generated footage is better suited for background extension, atmosphere creation, or abstract concept expression, rather than replacing precise displays of core products. Expectations exceeding technical boundaries will result in decreased delivery quality.
Post-Production Workflow Coordination and Version Management
Editing, color grading, and sound design must coordinate on a unified timeline. Since generative imagery often involves higher noise levels or inconsistent frame rates, early editing must allow sufficient processing space. Colorists should grade live-action and AI-generated assets separately before unifying the overall tone to avoid obvious color temperature discontinuities. Sound design should not lag behind visuals; ambient effects and music must be dynamically adjusted to match visual rhythm, enhancing immersion. Version management is critical; every revision should retain historical versions and clearly label changes. Chaotic file naming and storage structures reduce team collaboration efficiency and risk the accidental use of outdated assets.
Key Metrics Checklist for Final Delivery Acceptance
The acceptance phase requireszhu xiang checking visual effects against the pre-approved storyboards and reference images. Focus on checking transitions between generated and live-action parts for lighting inconsistencies, edge aliasing, or mismatched motion blur. For audio, confirm that voice clarity, background music volume balance, and spatial sense of sound effects meet expectations. Subtitles must be checked for spelling errors, timeline synchronization, and safe zone compliance. Master outputs must meet the latest encoding requirements of delivery platforms, and clean versions without subtitles should be provided for future multilingual adaptation. If major technical defects or style deviations are found, specific rectification opinions should be raised within the contractually agreed revision scope, rather than vague subjective feelings.
Unsuitable Scenarios and Risk Warnings
Although AIGC commercials offer innovative advantages, they are not suitable for certain scenarios. If a brand emphasizes extreme authenticity and trust, such as in medical devices or precision instruments, excessive use of generative imagery may undermine user trust. Additionally, for projects with strong timeliness and very low budgets, the time cost of adapting to AI workflows may exceed traditional production. Rapid technological iteration means current viable solutions may become obsolete within months; brands should monitor tech trends but not blindly pursue the latest tools. If a team lacks sufficient technical reserves, forcing complex projects may lead to delivery delays or loss of quality control. Rational assessment of own needs and technical capabilities is the prerequisite for project success.
It is recommended to communicate in depth with teams experienced in AIGC video production before starting a project to clarify responsibility boundaries and delivery standards. Verify technical feasibility through small-scale tests before gradually expanding production scale. Maintaining an open yet prudent attitude helps find the balance between technological innovation and brand safety.
If you are preparing an AIGC commercial project, you can first organize the brief, reference images, product or company materials, delivery platforms, and copyright scope, then viewthe AIGC Video Services pageto ground communication from abstract preferences to executable production boundaries.
