---
title: "Discussion on \"Agentic UX: Designing Interfaces for Autonomous AI Decision-Making\" | Hashnode"
description: "Discussion on \"Agentic UX: Designing Interfaces for Autonomous AI Decision-Making\". Agentic UX changes how we design software when AI agents can make decisions, use tools and act autonomously on behalf of humans."
url: "https://hashnode.com/posts/agentic-ux-designing-interfaces-for-autonomous-ai-decision-making/6aa07beb4404e516b876907c"
---

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# [Agentic UX: Designing Interfaces for Autonomous AI Decision-Making](https://kalpicksharma.hashnode.dev/agentic-ux-designing-interfaces-for-autonomous-ai-decision-making?utm_source=hashnode&utm_medium=feed)

Agentic UX changes how we design software when AI agents can make decisions, use tools and act autonomously on behalf of humans.

Sep 8 · 6 min read · kalpicksharma.hashnode.dev  
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## Written by

[Kalpick Sharma](https://hashnode.com/@kalpicksharma)

@kalpicksharma · Delhi, India

  
[View profile](https://hashnode.com/@kalpicksharma)

Sharing my thoughts on Communities , Ai use and some experiences

Designer | Product Builder | Founder @ Alloy Trik Exploring the intersection of Al, open source, and product development. I write about building projects, research insights, developer tools, startup learnings, and emerging technologies. Passionate about creating practical solutions, documenting the journey, and helping creators and developers learn in public.

## Responses 3

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[Alessandro Pieraccini](https://hashnode.com/@alessandroale83)

[Sep 12](https://hashnode.com/posts/agentic-ux-designing-interfaces-for-autonomous-ai-decision-making/6aa07beb4404e516b876907c/comment/6aa584077b6e9d9875d75863)

Hi, and thank you for this great article. The passage about the risk of turning every action into a confirmation is correct and particularly challenging. If the agent has to ask permission for everything, the system does not differ in any way from a “click-by-click” model, and maybe it would not even make sense.

Equally complex is understanding how to design thresholds, rollback and history well, therefore thinking not only about what AI can do, but also about how to make it possible to recover when it makes a mistake.

[Tarun Sharma](https://hashnode.com/@101beardo)

[Sep 11](https://hashnode.com/posts/agentic-ux-designing-interfaces-for-autonomous-ai-decision-making/6aa07beb4404e516b876907c/comment/6aa46c70528108efad5cfe85)

The agent-state-as-first-class-concept point maps almost exactly onto a state machine, planning, executing, waiting-for-approval, completed, needs-intervention are states with explicit valid transitions, not just a status string you branch on. Something like XState models this well since it makes illegal transitions (like completing from idle without executing) impossible by construction, instead of relying on every consumer of the state to check it correctly.

[Kalpick Sharma](https://hashnode.com/@kalpicksharma)

[Sep 12](https://hashnode.com/posts/agentic-ux-designing-interfaces-for-autonomous-ai-decision-making/6aa07beb4404e516b876907c/comment/6aa46c70528108efad5cfe85#reply-6aa4a191db647b42e4759326)

Great point — you're right. Agent state should be a state machine with explicit valid transitions, not a string to branch on. XState-style enforcement (illegal transitions impossible by construction) is the better model. Will update the article. Thanks!