Block 1 - Switch
- Type / Role
- n8n-nodes-base.switch - switch
- Config choices
- Version 3.2
This workflow is provided as-is. Please review and test before using in production.
What it's for: This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI mode...
n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.datetimetool, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.stickynote, n8n-nodes-base.merge
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Keith Uy.
Original n8n.io sourceThis is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model of their choosing to a get a User started. From here, the User may connect any tools that they see fit to the AI Agent for their n8n workflows.
If you want to allow the Slack bot to be integrated into the whole workspace, you'll need to adjust some of the nodes and bot parameters
Input: Slack message mentioning a bot in a chat channel
n8n Processing: Switch node determines the type:
(Currently uses OpenAI and Gemini to analyze Voice/Photo/Video content but feel free to change these nodes with other models)
AI Agent Proccessing: LLM of your choosing examines message and based on system prompt, generates an output
Output: AI Output is sent back in Slack Message
This part will be longest part of the guide but feel free to Youtube search "How to install Slack AI agent" or soemthing similar in case it's hard to follow
(Feel free to add other permissions here. These are just the ones that will be needed for the automation to work)
(Different per LLM but search your LLM + API in google)
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.
Showing the first 24 of 34 workflow blocks. Download the JSON for the full node graph.
| Workflow | Multimodal Slack AI assistant with voice, image & video processing |
|---|---|
| Complexity | advanced |
| Nodes | 34 |
| Categories | AI Chatbot |
| Author | Keith Uy |
| Published | 01 Oct 2025 |
Use the JSON export at /data/workflows/9149/9149.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.
What it's for: This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI mode...
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 AI Chatbot use case.