Lately I’ve been running more and more accounts, and there’s no way I can feed all those content slots by myself, so I started thinking—could I just let the machines generate stuff on their own? Here’s the rough workflow I’ve been testing: using Python’s transformers library to hook into pre-trained models on Hugging Face for text generation, then setting up a scheduled script with GitHub Actions.
Once it finishes, it sends me an email notification. I also plugged in the Google Trends API to check what people are searching for lately, so the generated content doesn’t stray too far off-topic. For the data side, I used matplotlib to whip up a simple chart to track trends.
The most useful part, honestly, was the quality scoring module I added at the end—it filters by coherence and relevance. Otherwise, purely generated stuff reads like cheap plastic, and if I sent that out, I’d get roasted. Still tweaking it now—the output is barely usable, but it’s a long way from being fully hands-off.