AI Agent UI Designer

The UI problem with agent products

Most agent products are technically impressive and visually terrible. The agent works. The interface looks like a developer shipped it on a Friday. Task status is unclear, approval flows are confusing, and tool output is a raw JSON dump. GlideDesign generates the interfaces that make agent products feel finished — not just functional.

Agent UI patterns GlideDesign generates

• Task runner interface with status, progress, and output display
• Human-in-the-loop approval screens with action buttons and context
• Structured tool output display with syntax highlighting and copy
• Chat-based workflow UI with message threading and agent status
• Multi-step agent pipeline visualization with stage indicators
• Error recovery screens with clear failure state and retry CTA
• Agent configuration and settings panels
• Observability dashboards showing agent runs, costs, and outcomes

Agent types GlideDesign designs for

• Task runners

  Interfaces that show what the agent is doing, what it produced, and what action the user needs to take next. Clear status, useful output display, unambiguous CTAs.

• Approval flows

  Human-in-the-loop screens where the user reviews agent output before it proceeds. Show the context, the proposed action, and make approval or rejection obvious.

• Chat-based agents

  Interfaces for agents that communicate through natural language. Structured message threads, agent status indicators, and tool output displays that don't break the conversational flow.

• Tool output displays

  Screens that present structured agent output — code, data tables, generated documents, API responses — in a format that's readable and actionable, not a raw JSON blob.

Example prompts for agent interfaces

• “Agent dashboard for an AI email management tool. Shows pending tasks, processed items, agent decisions, and a simple approve/reject flow for ambiguous messages.”
• “Chat interface for a research agent that queries databases and returns structured results. Shows sources, confidence, and a follow-up prompt field.”
• “Task runner UI for a background job orchestrator. Shows job queue, active runs, error log, and retry controls. Dark mode, dense data layout.”
• “Approval flow for an AI document review agent. Shows original document, agent annotations, risk flags, and an approve/request-revision split CTA.”

Frequently asked questions

What makes agent UI design different from regular product UI?

Agent products need to communicate uncertainty, process state, and decision hand-offs in ways that standard UI patterns don't cover well. GlideDesign understands these patterns and generates interfaces that handle agent status, approval flows, and structured output without making the user feel like they're debugging a CLI.

Can GlideDesign generate UI for products built with LangChain, CrewAI, or custom agents?

Yes. The underlying agent framework doesn't matter — what matters is how the user interacts with the agent outputs and decisions. Describe the workflow in plain English and GlideDesign generates the UI for that flow.

Does GlideDesign generate just the screens or also the component logic?

GlideDesign generates the screens and handoff notes. The handoff notes describe component structure, state variations, and interaction patterns — enough for a developer to implement with confidence. It's the design direction, not the frontend code.

Can I generate dark mode UI for my agent product?

Yes. Include 'dark mode' in your brief and GlideDesign will generate in dark theme. Many agent and developer tools use dark interfaces — GlideDesign handles both.

How do I describe an agent workflow in a prompt?

Describe the trigger (what starts the agent), the main task (what the agent does), what the user sees during processing, what output the agent produces, and what action the user takes next. You don't need technical details — describe it from the user's perspective.