Helped my friend automate his story content channel using n8n - he's saving 3+ hours daily My buddy started a short story channel on TikTok in March. The format works great for engagement but he was spending 4-5 hours per video and burning out fast. I've been messing with n8n for workflow automation lately so I offered to help. Took about two weeks to build out a system that handles the whole pipeline. The workflow breaks down like this: Story prompt comes in, GPT writes the script and splits it into scenes, another node generates slide designs for each scene, text-to-speech handles the voiceover, then everything gets stitched together with proper timing. Outputs a ready-to-post video. What I learned building this in n8n: The modular approach is perfect for content pipelines. Each step is its own node so when something needs tweaking you're not rebuilding everything. Way more flexible than trying to code it all from scratch. Error handling matters more than I expected. AI tools fail sometimes. Built in fallbacks and retry logic so the whole thing doesn't crash if one API hiccups. Cost optimization was interesting. Running everything through one workflow vs multiple helped cut API costs significantly. Also caching certain outputs that don't change much. The timing sync between slides and voiceover was the hardest part. Had to calculate durations dynamically based on text length and speech rate. Took way more iterations than expected. My friend went from barely keeping up with 2-3 posts a week to posting daily. Started a second channel. Actually has time to analyze what content performs and iterate on strategy instead of just grinding production. For anyone running content operations or thinking about it, automation isn't just about saving time. It's about making things actually sustainable so you don't quit after a month. Happy to answer questions about the n8n setup or workflow automation in general. Also curious what other people are automating in their businesses?