Our landing page, product pages, design system, even our promo video, all of it came from AI tools plus taste. Five years ago this would have needed at least one designer on payroll and tons of Figma design effort.
Here's the uncomfortable part. The output is genuinely fine. Not award winning, but clean, consistent, and shipped in weeks instead of months. Nobody who visits our site asks if we have a designer.
We run an automated pipeline that drafts articles for our product. During our first test attempts we let the model do almost everything, including the mechanical bits: fixing dashes and quotes, tracking which stage each article was in, creating SEO json, naming image files etc. It worked, but the quality was uneven, sometimes the model would miss some things, and, of course, it was rather expensive in terms of tokens. Then we changed our approach and started treating AI like a creative employee and providing it with "software" (python scripts) to help with any mechanical tasks that could be automated by code. The model only does the part that actually needs intelligence and creativity now. And honestly, the result surprised me - quality went up, because we now let it focus on what it's actually good at. As a pleasant bonus - the costs of running the pipeline dropped too. One of the first things we scripted was stripping the em-dashes the model loves to add but my co-founder has an allergy for
How do you improve the quality of your AI results, especially automated pipelines?
