A dual optimization scheme for AI authoring models
Balancing brand consistency with creative efficiency is a core challenge for freelancers, and Fiverr Go's AI creation model provides a systematic solution:
- sample training stage: Select 10-15 most representative works to be uploaded to the AI model. It is recommended to cover different project types (e.g. logo design should include different styles of simple/complex), too many works of a single type will lead to a decrease in the generalization ability of the model. The system needs 24-48 hours to complete deep learning.
- Style parameter settings: After completing the training, precisely adjust the three core parameters in the model setting page: 1) visual style (color saturation/line hardness, etc.) 2) copywriting tone (formal/relaxed/technical) and 3) content structure (segmentation habits/headline hierarchy). It is recommended to conduct 5-10 test generation first, and gradually fine-tune the parameters.
- Quality Control ProcessEstablish a closed loop of "Generate - Review - Feedback": 1) AI generates the first draft 2) manually check the compliance of branding elements 3) mark unsatisfactory parts (the system will record the correction preferences) 4) use the "Brand Consistency Score" function before the final output (a score of less than 80% is recommended to re-generate it).
- Efficiency Improvement TipsFor repetitive content (e.g. social media posts), 10-20 variants can be batch generated and then reviewed in one go; for complex projects, the 'AI First Draft + Manual Finishing' model is used, which usually saves 40% of work time.
Note that the training samples are updated quarterly to accommodate the evolution of styles due to business growth.
This answer comes from the articleFiverrGo: Scaling Business for Freelancers Using Generative AI TechnologyThe
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