Hello everyone!
Here's another workflow I made, this helps creators and marketers decode what makes a Reel go viral-automatically.
🔄 How It Works
- ⏰ Scheduled Trigger The workflow runs on a schedule and pulls a list of Instagram accounts from Airtable.
- 📈 Viral Reel Fetching For each account, it fetches their top 10 most viral Reels from the past few weeks.
- 🎙️ Transcription & Analysis Each video is transcribed, then passed to an AI agent that performs a structured breakdown.
🧠 Reel Analysis Framework
The agent evaluates each Reel using a multi-layered approach:
- Topic Fit: Is it trending, solving a pain point, or sparking relatable reactions?
- Hook Quality (0–2s): Does it grab attention instantly?
- Retention Drivers (2–20s): Pacing, structure, captions—what keeps viewers watching?
- Payoff & CTA: Is there a strong finish and a clear call to action?
📊 Output Format
- ① Viral Diagnosis: Highlights performance drivers and weak spots
- ② Viral Framework Table: Maps key elements with evidence and improvement notes
- ③ Strategic Advice: Written in a punchy, conversational style with vivid language and numbers
- 📁 Airtable Storage All insights are stored back in Airtable for easy review and future strategy.
This workflow helps creators reverse-engineer virality, spot patterns, and improve their content with data-backed insights.
My end goal is to get hired as an AI automation specialist, so I’ll be sharing more of the workflows I’ve built until that happens.