🧱 The Social Media Content Machine: Automating a Week of Posts from One Prompt
🔍 The Challenge (Intro)
Small business owners and solo creators often struggle with consistent social media posting. It’s time-consuming, repetitive, and easy to deprioritize. I wanted to solve this problem with automation—a way to generate, organize, and schedule a full week of content from a single user input.
🛠️ The Solution
I designed an end-to-end AI automation using ChatGPT, Zapier, Notion, and Buffer. With just one form submission, this system creates five platform-ready social media posts, stores them in Notion, and schedules them for publishing through Buffer.
Key components:
📋 Tally.so Form – Collects topic, tone, platforms, and preferences
🤖 ChatGPT – Generates 5 short, formatted social posts using a custom delimiter
🧩 Zapier – Splits and loops through each caption using Formatter + Looping
🗂️ Notion – Stores each caption with metadata like tone, topic, and scheduled date
📅 Buffer – Automatically schedules each caption on selected platforms
🔁 The Workflow (Visual Flow)
📝 User submits form with weekly topic, tone, and platform preferences
⚙️ GPT generates 5 unique captions in a |||-delimited format
✂️ Formatter splits the captions
🔄 Looping by Zapier processes each caption
🧾 Each post is:
Logged in Notion as a new entry (with the actual scheduled time)
Sent to Buffer to be scheduled on Instagram, LinkedIn, X, etc.


🚀 Results / Benefits
What used to take hours of writing and scheduling now takes under 5 minutes. This automation:
Saves 90% of content planning time
Posts across multiple platforms
Maintains a consistent voice and brand tone
Is scalable and repeatable for solopreneurs, creators, and small businesses
📞 Want Something Like This for Your Business?
Whether you're a coach, creator, real estate agent, or just AI-curious, I can build custom automations that save time, follow up with leads, and make your business smarter.
👉 Click here to schedule a free 15-minute consult
Let’s make your work easier, faster, and more engaging.
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