Like in all powerful areas AI video generation offers advantages and also challenges. As a dev or agency, you should understand the challenges and practice safely.Â
1. Quality / Coherence & Hallucinations
AI-generated visuals and narratives may display abnormalities or anomalies: strange transitions, awkward movements, changing light sources, flickering objects, or misalignment/inconsistency between audio and visuals. Output should always be evaluated and corrected, if necessary.
2. Absence of Domain Product Context
AI will not comprehend domain knowledge UI flows, business logic, or asset images. The video may be glossy but will misrepresent your product. This will involve custom prompts or injections of assets.
3. Legal / Copyright Issues
If AI models have legally trained on copyrighted content or assets the generated video may be infringing copyright. Additionally, the audio, music, avatars, etc. must be cleared, if applicable, so contracts with the client must include these associated risks.
4. Brand/Style Drift
Consistency is key as a brand. If AI generation, delivery, or flows are not delineated the generated video assets can drift away from the brand style—fonts, logos, colors, etc. Templates, style guides, etc. must be adopted and introduced into workflows.
