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Interesting product — having 15+ video/image/audio models in one workspace sounds very convenient. How do you handle prompt consistency across different models? Since each model tends to interpret prompts differently, do you normalize or adapt the prompt automatically when switching models, or is the exact same prompt sent to all of them?

Interesting product — having 15+ video/image/audio models in one workspace sounds very convenient. How do you handle prompt consistency across different models? Since each model tends to interpret prompts differently, do you normalize or adapt the prompt automatically when switching models, or is the exact same prompt sent to all of them?
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