Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack
Ready for 3.0What this workflow does
This AI workflow has 10 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenRouter Chat Model, NocoDB and Slack. It also calls api.nuclino.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Edit Fields (Edit Fields (Set)): sets 2 fields: note_title, prompt
- AI Agent: runs an AI agent, with model: OpenRouter Chat Model
- Merge: merges the data from its input branches
- Edit Fields (Edit Fields (Set)): sets 4 fields: note_title, prompt, output…
- HTTP Request: calls api.nuclino.com (POST)
- Save Prompt (NocoDB): create
- Send a message (Slack): uses Slack
- Save Output (NocoDB): create
Services it uses
HTTP calls to: api.nuclino.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Edit Fields (Set)
n8n-nodes-base.set - NocoDB
n8n-nodes-base.nocoDb - Slack
n8n-nodes-base.slack - Merge
n8n-nodes-base.merge - HTTP Request
n8n-nodes-base.httpRequest
From the author
This workflow provides a way to capture detailed AI prompts using a voice note transcription service and then passes them on for completion to an AI agent. To preserve outputs in a knowledge management system, the AI response and the prompt are combined into…