# AI Agents in Juice: what would the right UX look like?

**URL:** <https://community.orangeqs.com/t/ai-agents-in-juice-what-would-the-right-ux-look-like/140>\
**Category:** Community Support\
**Created:** [September 18, 2026, 2:25pm UTC](https://community.orangeqs.com/t/ai-agents-in-juice-what-would-the-right-ux-look-like/140 "2026-09-18T14:25:16Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Marlo](https://avatars.discourse-cdn.com/v4/letter/m/d26b3c/32.png) [@Marlo](https://community.orangeqs.com/u/Marlo)\
**Post date:** [September 18, 2026, 2:25pm UTC](https://community.orangeqs.com/t/ai-agents-in-juice-what-would-the-right-ux-look-like/140/1 "2026-09-18T14:25:16Z")

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Hello everyone,

After attending a talk at IEEE Quantum Week about _ **El Agente** _, an autonomous AI system and agent hierarchy for computational chemistry ( [Acceleration Consortium 2025](https://acceleration.utoronto.ca/news/meet-el-agente-an-autonomous-ai-for-performing-computational-chemistry) ), I started thinking about how AI agents could fit into the Juice platform.

One possible approach would be to have agents specialized around different roles:

**🔧 Lab Manager**

- Monitors the health of instruments, services, and infrastructure.
- Tracks system status, detects anomalies, and helps prioritize tasks.
- Naturally connects to the System Overview and Task Manager.

**🧪 Experimentalist**

- Assists with experiment design, execution, and analysis.
- Recommends next steps based on results and experiment data.
- Could leverage AI-driven workflows such as Ising model ([AI Models & Framework for Quantum Computing | NVIDIA Developer](https://developer.nvidia.com/ising)).

**💻 Juice Developer**

- Understands the Juice codebase, APIs, and documentation.
- Helps users develop extensions, troubleshoot integrations, and navigate the architecture.
- Acts as an interactive technical copilot for the platform.

The more interesting question to me is not _whether_ to add AI agents, but _how users should interact with them_.

Should agents be:

- Dedicated personas with clear responsibilities?
- A single assistant that can switch contexts?
- What tools and skills are most useful?
- Embedded directly into workflows and dashboards?
- Autonomous agents that can execute actions, or mostly advisors that recommend actions?

I’m curious to hear what the community thinks. If AI agents became a native part of Juice, what would be the most valuable use case for you, and what would the ideal user experience look like?

Looking forward to the discussion!

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**Author:** ![kristian](https://avatars.discourse-cdn.com/v4/letter/k/e8c25b/32.png) [@kristian](https://community.orangeqs.com/u/kristian)\
**Post date:** [September 18, 2026, 3:10pm UTC](https://community.orangeqs.com/t/ai-agents-in-juice-what-would-the-right-ux-look-like/140/2 "2026-09-18T15:10:01Z")

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Hi Marlo,

It was indeed a super exciting presentation I already made an wire-mock design of the page we could use.

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/orangeqs/original/1X/1461cdc8cc589f3967a448c86dc025bd1c9d00b5.png)

Let me know what you think!

Best,

Kristian