This is our second post focused on UX for agents. We discuss ambient background agents, which can handle multiple tasks at the same time, and how they can be used in your workflow.
At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In this post I will dive deeper into UX for agents. Thanks to Nuno Campos, LangChain founding engineer for many of the original thoughts and analogies
In this informative video, we dive into the world of designing user experiences (UX) for AI applications. Bethany Jepchumba explores the importance of building trust and transparency in AI systems to ensure user satisfaction and Responsible AI. In this video, we cover: Introduction to User Experience and Understanding User Needs. Designing AI Applications for Trust and Transparency. Designing AI Applications for Collaboration and Feedback. Recommended resources The full "Generative AI for Beginners" Course After completing this lesson, check out our Generative AI Learning collection to continue leveling up your Generative AI knowledge! Best practices for building collaborative UX with Human-AI partnership Introduction to guidelines for human-AI interaction Related episodes Generative AI for Beginners
Guidelines for Human-AI Interaction - Microsoft HAX Toolkit
Best practices for designing AI user experiences What are the Guidelines? The Guidelines are evidence-based best practices for designing your AI user experiences. How do I use the Guidelines? The Design Library helps you learn each Guideline. Explore examples and design patterns for implementing them throughout the user experience: upon initial interaction, during interaction, when […]
Best practices for building collaborative UX with Human-AI partnership
Learn about the best practices for creating the collaborative user experiences by leveraging the power of human-AI partnership. Learn how to optimise your design process with these essential tips and strategies.