Automating AI-Generated Ideas & Post to Blog/Social with n8n – Part 1

Introduction

This tutorial series is broken into three parts, guiding you through the complete automation of AI-generated ideas, content creation, and posting to blogs/social media.

Prerequisites

• An n8n instance installed and running (self-hosted or cloud).
• A Telegram Bot set up with an API token via BotFather
• A Fal.ai API key for image generation
• A Google Drive account for temporary image storage.
• A Supabase account with a database for storing data.
• API key for any AI models you use (OpenAI, Gemini, Claude, DeepSeek…)
• An account set up in WordPress separately to automating post.
• Social media API credentials.

Part 1 – Automating AI-Generated Ideas

This n8n workflow automates the process of generating AI-driven ideas, checking for duplicates in a Supabase database, and sending notifications via Telegram. It consists of:

1. Schedule Trigger – Initiates the workflow at set intervals.
2. Telegram Notification – Sends a message indicating the workflow has started (optional).
3. AI Agent (OpenAI Model) – Generates new ideas.
4. Data Retrieval from Supabase – Checks for duplicate ideas or semantically similar ones.
5. Data Storage in Supabase – Saves new ideas.
6. Splitting Data – Prepares the messages for Telegram.
7. Looping & Sending Notifications – Iterates through messages and sends them via Telegram.

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Step-by-Step Implementation

1. Schedule Workflow Execution

• Use the Schedule Trigger node to run the workflow at predefined intervals.
• Set the desired execution frequency (e.g., every hour, daily).

2. Send Workflow Start Notification (Optional)

• Add a Telegram (Send a text message) node.
• Configure it to send a message (e.g., “Workflow execution started.”) to Telegram.

3. Generate Ideas using OpenAI

• Add an AI Agent node.
• Connect it to an OpenAI Chat Model node.
• Configure the OpenAI model to generate ideas based on a given prompt.

4. Check for Duplicates in Supabase

• Add a Supabase (Get many) node to fetch existing ideas from Supabase and compare generated ideas against stored ones

5. Store New Ideas in Supabase

• If an idea is unique, use a Supabase (Create) node to save it to Supabase.
• Ensure proper database configuration (table, columns, etc.).

6. Split Data for Telegram Messages

• Use the Structured Output Parser to structure the output before sending to Telegram.
• Use a Split Out node to break ideas into smaller parts for structured messaging.

7. Loop Over Items & Send Telegram Messages

• Add a Loop Over Items node to iterate through the generated ideas (if you want to generate multiple ideas).
• Inside the loop, configure Telegram (Send a text message) node to send the processed messages.
• Use conditional logic if necessary (e.g., handling errors).

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Error Handling

• Include a Telegram (Send a text message) node to notify if the AI model or database query fails.
• Configure the workflow to retry or log errors accordingly.

Conclusion

This n8n workflow efficiently automates AI-driven idea generation, duplicate checking, and Telegram notifications. It ensures data integrity using Supabase and provides real-time notifications for transparency.