Future of UX | Your Design, Tech and User Experience Podcast | AI Design #118 Designing for AI Agents: UX Patterns, Ethics & Tools
17 snips
Jul 31, 2025 This discussion explores the evolution of AI agents and their capacity to autonomously complete tasks, surpassing traditional chatbots. Key design principles for user experience with these agents, such as transparency and trust, are highlighted. A personal anecdote showcases how agent technology was used to book a hotel. Emerging interaction techniques like ‘suggest and confirm’ are introduced, alongside ethical considerations in design to avoid manipulation and bias. Tools to enhance prototyping and testing of agent behaviors are also shared.
AI Snips
Chapters
Transcript
Episode notes
AI Agents Explained
- AI agents autonomously observe, plan, and act to solve tasks without direct user commands.
- They differ from chatbots by proactively handling tasks and making decisions based on context.
Hotel Booking with ChatGPT Agent
- Patricia used ChatGPT's Agent Mode to book a hotel by delegating the entire task.
- The agent proactively handled browsing, filtering, and booking steps while explaining its actions.
Key UX Principles for AI Agents
- Design AI agents with transparency, consistency, user control, feedback, trust, and role clarity.
- Make agent actions visible, let users confirm or reject decisions, and clearly identify AI involvement.