Had this project over the weekend with my team and here's some of the Challenges faced
The main challenge was building a single automated system that could consistently generate high quality social media content across multiple platforms while avoiding duplicate posts and maintaining each platforms unique tone and format. Another challenge was coordinating AI text generation image generation posting schedules and storage in a way that was scalable reliable and easy to manage inside n8n. Handling validation errors API limits and image formatting differences between platforms also required careful workflow design.
Solution offered
I designed and implemented an automated social media content engine entirely in n8n. The workflow starts with a defined posting schedule and AI content parameters then pulls relevant articles and filters out duplicates by platform. I configured platform specific AI prompts for LinkedIn Instagram and Bluesky using an LLM and added JSON validation to ensure clean structured outputs. For visuals I integrated an image generation service then handled base64 conversion image resizing and storage in ImgBB. Each post and image is saved to Airtable for tracking and reuse. The workflow dynamically adapts content and images per platform while running fully automatically.
Final outcome
The final result was a fully automated multi platform content engine that produces consistent high quality text and images on schedule with zero manual input. The client can now scale social posting effortlessly reduce content creation time by several hours per week and maintain a strong brand presence across platforms. The system is stable easy to extend and ready for additional platforms or content sources as the business grows.
Want a fully automated social media content engine like this for your business
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