π¬ Social Media Content Generator
Workflow Overview
Automated social media content creation from video transcripts
π― Trigger: Airtable Webhook
- Action : Receives webhook from Airtable automation
- Data : RecordId and action type (e.g., "post-ig")
- Purpose : Starts the content generation pipeline
π Step 1: Fetch Record
- Node : Airtable (Get Record)
- Action : Retrieves full record data using RecordId
- Data : Name, transcript, and other fields
π Step 2: Create Google Drive Folder
- Node : Google Drive (Create Folder)
- Action : Creates blue folder in /tutorials directory
- Name : Uses record Name field
- Updates : Stores folder ID back to Airtable
π€ Step 3: AI Content Analysis
- Node : AI Agent with Google Gemini 2.5 Flash
- Input : Video transcript from Airtable
- Structured Output : JSON with all social formats:
- YouTube title & description
- YouTube thumbnail text
- Twitter thread (array)
- LinkedIn post
- Instagram caption
- TikTok caption
- YouTube Shorts caption
- Relevant tags
πΎ Step 4: Save Transcript File
- Node : Google Drive (Create from Text)
- Action : Saves transcript as text file
- Location : Inside the created folder
- Name : Uses record Name field
π Step 5: Update Airtable Results
- Node : Airtable (Update Record)
- Data : All AI-generated social media content
- Special : Twitter thread array joined with newlines
π― Result : Complete social media content suite ready for multi-platform publishing, organized in Google Drive with all data stored in Airtable.