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Collecting feedback
Capturing user signals so the AI system can learn and adapt.
User benefits
- Creates a feedback loop between users and the model.
- Builds trust by giving people a say in quality.
- Improves outputs over time, tailored to user preferences.
Examples from our library
Browse all examplesWhy does collecting feedback matter?
AI models are perpetual students, they never stop learning from you.
Every time you regenerate a response, edit a suggestion, or click "this is helpful," you're teaching the model. But the problem is, current AI systems are optimized to be agreeable, not necessarily accurate or to challenge your input.
When you correct Claude mid-conversation with "Actual
★★★★★
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 10, 2025
Published on Nov 10, 2025
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