Emerging UI for communicating Agentic States

What are the Emerging UI Patterns for Communicating Agentic States? 🤖💡

The following patterns reflect how 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝘁𝗵𝗲𝗶𝗿 𝗶𝗻𝘁𝗲𝗻𝘁, 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 — and how users 👤 interact with or observe 👀 these processes.

💬 𝟭. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗿𝗼𝗺𝗽𝘁 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲

- State Feedback: Agent shows Chain of Thought (COT), clear handoff between human ↔️ agent.

- Visual Cues: Typing or progress indicator

- Ideal for: Customer support chat interface, Task initiation & progress in a coding application or shell/command-style UIs.

🔄 𝟮. 𝗔𝗴𝗲𝗻𝘁 𝗖𝗵𝗮𝗶𝗻 𝗗𝗶𝘀𝗰𝗹𝗼𝘀𝘂𝗿𝗲 (𝗠𝘂𝗹𝘁𝗶-𝗦𝘁𝗲𝗽)

- State Feedback: Agent shows decomposed steps (e.g., "Step 1: Researching…"). Progressively updates UI as it progresses.

- Visual Cues: Step checkboxes, Chat bubbles, Message threads, Loading states for each step.

- Ideal For: Deep Research, Analysis or multi-hop reasoning in a Search app

🕸️ 𝟯. 𝗩𝗶𝘀𝘂𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝗴𝗲𝗻𝘁

- State Feedback: Flow diagrams show data moving through agent stages. Users see which source → action → destination path was followed.

- Visual Cues: Node/edge highlights, path animations, input/output overlays.

- Ideal For:Automation builders, marketers, multi-channel workflows.

Are there more?

Let me know in the comments or DM me

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