π¬ Social Media Content Generator
Workflow Overview
Automated social media content creation from video transcripts
π― Trigger: Airtable Webhook
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Action: Receives webhook from Airtable automation
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Data: RecordId and action type (e.g., "post-ig")
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Purpose: Starts the content generation pipeline
π Step 1: Fetch Record
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Node: Airtable (Get Record)
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Action: Retrieves full record data using RecordId
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Data: Name, transcript, and other fields
π Step 2: Create Google Drive Folder
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Node: Google Drive (Create Folder)
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Action: Creates blue folder in /tutorials directory
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Name: Uses record Name field
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Updates: Stores folder ID back to Airtable
π€ Step 3: AI Content Analysis
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Node: AI Agent with Google Gemini 2.5 Flash
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Input: Video transcript from Airtable
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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
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Node: Google Drive (Create from Text)
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Action: Saves transcript as text file
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Location: Inside the created folder
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Name: Uses record Name field
π Step 5: Update Airtable Results
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Node: Airtable (Update Record)
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Data: All AI-generated social media content
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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.