Agentic UX

AI-powered Virtual Avatars & Digital Assistants

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The Agentic UX Framework is a extensive approach designed to optimize human-AI interactions by providing structured design patterns that guide interfaces through various stages of AI task execution, ultimately enhancing transparency, trust, and user control. Its main features include intent-driven interfaces that clarify goals and scope before action, real-time explanations and progress tracking during task execution, and post-action auditing tools such as change tracking, undo options, escalation pathways, and summarized briefings. This framework addresses problems related to user uncertainty, lack of transparency, and difficulty in managing AI-driven workflows, making it ideally suited for developers, UX designers, and product teams creating AI-enabled applications that require clear communication, user oversight, and reliable, explainable automation across industries like customer support, enterprise software, and.

Agentic UX can be found in AI-powered Virtual Avatars & Digital Assistants categories.

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Agentic UX Main Features

• Autonomy Dial
  Let users decide what the agent is allowed to do during the task.
• Before Actions
  Start with a clear goal, narrow the scope, preview the plan, and decide what the agent can do.
• Intent Preview
  Show the plan or steps that the agent will take before it begins.
• Progress Ledger
  Show ongoing updates about what the agent is doing and how far along it is.
• Sandbox Preview
  Allow users to see and test the work in a safe environment before final execution.
• Lifecycle Patterns
  The framework groups patterns based on the phase of the agent's work: before, during, and after the task.
• After the Agent Acts
  Review and audit the results, make recovery options clear, escalate issues if needed, and give a summary when the task is done.
• Clarifying Questions
  Ask questions to make the task details clearer and focus the scope.
• Explainable Rationale
  Provide clear reasons for the agent's decisions or actions.
• While the Agent Works
  Display the agent's work in progress, explain its choices, and let users preview the task in a safe sandbox.
• Intent-First Interface
  Design the interface around the user's goal first to improve understanding and trust.

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