Block 1 - On form submission
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.3
This workflow is provided as-is. Please review and test before using in production.
When designing user interfaces, toolbar icons often get overlooked, even though their placement and grouping dramatically impact usability and user flow. This workflow leverages Gemini AI to automa...
n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Zeinabsadat Mousavi Amin.
Original n8n.io sourceWhen designing user interfaces, toolbar icons often get overlooked, even though their placement and grouping dramatically impact usability and user flow. This workflow leverages Gemini AI to automatically analyze UI screens, classify toolbar icons based on Apple’s Human Interface Guidelines (HIG), and suggest optimal placements.
By combining AI analysis with structured placement logic, this workflow helps designers build more consistent, efficient, and user-friendly interfaces—without spending hours manually arranging icons.
.primaryAction, .navigation, .confirmationAction, and more.Install the Workflow: Import the workflow into your n8n instance.
Configure Input:
Set Up Gemini AI Node:
Run the Workflow: Submit the inputs and let the AI classify and assign placements.
Export Results: Copy the JSON output or connect the workflow to your preferred design/documentation tools.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Organizing UI toolbar icons: Apple HIG standards and Gemini AI |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Engineering, AI Summarization |
| Author | Zeinabsadat Mousavi Amin |
| Published | 03 Sept 2025 |
Use the JSON export at /data/workflows/8206/8206.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
When designing user interfaces, toolbar icons often get overlooked, even though their placement and grouping dramatically impact usability and user flow. This workflow leverages Gemini AI to automa...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.