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

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

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 manage...

Best for

  • Internal Wiki automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.set, n8n-nodes-base.nocodb, n8n-nodes-base.slack, n8n-nodes-base.merge, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Daniel Rosehill.

Original n8n.io source

1.1 Workflow description

Title
Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack
Workflow name
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)

Customising this workflow

  • AI Models: Switch between different OpenRouter models by changing the model parameter
  • Response Format: Modify the AI Agent system message to change output structure
  • Documentation Platforms: Replace Nuclino HTTP Request with other documentation APIs
  • Notification Channels: Add multiple Slack channels or other notification services
  • Archive Storage: Replace NocoDB with other database solutions
  • Input Sources: Adapt webhook to accept data from different voice note or transcription services

Nuclino API

The Nuclino API is documented here.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 3 - OpenRouter Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 4 - Edit Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - Edit Fields1

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - Save Prompt

Type / Role
n8n-nodes-base.nocoDb - nocoDb
Config choices
Version 3

Block 7 - Save Output

Type / Role
n8n-nodes-base.nocoDb - nocoDb
Config choices
Version 3

Block 8 - Send a message

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 9 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 10 - HTTP Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 11 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack
Complexity advanced
Nodes 16
Categories Internal Wiki, Multimodal AI
Author Daniel Rosehill
Published 29 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6657/6657.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Process Voice Notes to AI Responses with Claude Sonnet, Nuclino & Slack do?

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 manage...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Internal Wiki, Multimodal AI use case.