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Model selection
Allowing users to choose between different AI models so they can optimize for trade-offs like cost, latency, quality, or style.
User benefits
- Shape how the system works instead of accepting fixed defaults
- Decide trade-offs like speed, depth, creativity, or cost transparent
- Encourages exploration, giving users space to try options and discover what works best.
Examples from our library
Browse all examplesWhy does model selection matter?
Model selection matters because it transforms AI from a passive service into an active design choice. It makes the system adaptable to a wide range of contexts — from lightweight chats to complex agent building — while ensuring users understand and own the trade-offs behind their experience.
To understand it better, let's dive deeper.
Key takeaways
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★★★★★
Solid overview of emerging design
patterns and well organised content
patterns and well organised content
Jacob Sullivan, CPO at Faculty.aiUnlock this pattern
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Curated by aiverse team
Last updated on Nov 4, 2025
Published on Nov 4, 2025
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