Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack

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 one document that is created in a Nuclino collection (note: the Nuclino step is configured manually with a HTTP request node).

How it works

- A webhook receives voice note data from Voicenotes.com containing the title and transcript - The transcript is extracted and sent to an AI Agent powered by OpenRouter's Claude Sonnet model - The AI generates a structured response in markdown format with Summary, Prompt, and Response sections - The original prompt and AI response are merged and prepared for multiple outputs - A Nuclino document is created via HTTP Request with the structured content - A Slack notification is sent with the prompt, response, and Nuclino note URL - Both the original prompt and AI response are archived in NocoDB for future reference

How to use

- The webhook trigger can be configured to receive data from Voicenotes.com or any service that provides title and transcript data - Replace the manual trigger with webhook, form, or other triggers as needed - Customize the AI system message to change response format and behavior - Configure Nuclino workspace and collection IDs for proper document organization

Requirements

- OpenRouter account for AI model access (Claude Sonnet) - Nuclino account and API token for document creation - Slack workspace with bot permissions for notifications - NocoDB instance for archiving (optional) - Voicenotes.com account for voice input (or alternative webhook source)