This video explores ai design best practices for refining AI outputs directly inside modern interfaces. Moving beyond the classic single text prompt, Vitaly Friedman shows how quick fine-tuning and versioning can happen through a context menu, a right-click, or a text selection, so you can take targeted actions on specific parts of the output. You will see how to improve ai output with lightweight controls that let you find evidence, generate research questions, adjust the image, change the picture, or uncover assumptions without leaving the flow. If you are asking what is finetuning ai, what is versioning ai, or how to improve ai, the talk breaks it down with simple patterns that help you improve ai output and keep track of changes. Some teams even call this au finetuning, but the idea stays the same: define actions up front, attach them to roles, and make them available exactly where the result appears. That way, you can shape responses on the fly, learn how to improve ai prompts with real examples, and build repeatable workflows. The session also covers how to personalize ai for your needs, how to adjust ai for your needs, and how to adjust ai for your personal needs by creating small agents like “find evidence” or “get research questions.” These agents become building blocks you can reuse, version, and combine, which is core to ai versioning and ux design best practices for ai. For anyone seeking ai best practices and examples of good ai services, this is a practical tour of interaction patterns that reduce friction and support accountability. Designers studying with the Interaction Design Foundation, the ixdf community, product managers, and researchers will find clear steps to personalize ai for your needs while keeping the interface transparent, consistent, and fast.
🔗 Learn more about How to Elevate the User Experience of AI with Design Patterns in the webinar with Vitaly Friedman, Senior UX Consultant, European Parliament, and Creative Lead, Smashing Magazine:
https://ixdf.io/how-to-elevate-the-us...
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