Voicenotes To Slack And Nuclino

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This workflow automates the process of capturing voice note prompts, processing them with an AI language model, and documenting the results across Slack, Nuclino, and NocoDB for seamless collaboration and archiving. Starting from a webhook trigger receiving the voice note prompt, it retrieves the transcript and title, then feeds this data into an AI agent that generates a detailed response. The information is then saved in NocoDB for record-keeping, and a comprehensive message with the AI output is sent to a designated Slack channel. Additionally, the workflow creates a new note in Nuclino, providing a centralized, easily accessible knowledge base entry.

**Key Steps and Nodes:**

– Webhook: Receives voice note prompts via HTTP POST.

– OpenRouter Chat Model: Processes prompts with an AI model to generate detailed, structured responses.

– Set (Edit Fields): Extracts and prepares the note title and prompt.

– AI Agent: Generates an AI-based response from the prompt.

– Merge: Combines various data points for further processing.

– Save Prompt and Save Output in NocoDB: Archives the prompt and AI response for record-keeping.

– Slack: Sends a formatted notification to a Slack channel with the AI response details.

– HTTP Request: Creates a new note in Nuclino, including the prompt and AI response.

– Sticky Notes: Used for documentation within the workflow for clarity.

**Practical Use Cases:**

This workflow is ideal for teams that record voice notes for project documentation, knowledge sharing, or customer support. It automates transcription, AI summarization, and documentation, saving time and ensuring knowledge is captured in multiple formats and platforms, facilitating collaboration and record-keeping.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenRouter, httpRequest, merge, nocoDb, set, slack, stickyNote, webhook

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