The app worked exactly as intended. It automated a repetitive task and saved the team several minutes every day. I was pleased with the result until someone pointed out that the automated process was making errors harder to notice. Previously, people caught mistakes while doing the task manually. Now the work moved faster, but incorrect information could pass through without anyone noticing. I'd optimized the process without thinking about what should happen when something went wrong. I went back to the prototype in Greta and added a review step for uncertain cases. We also made the outcome easier to verify. That extra step reduced the speed slightly, but it made the overall workflow much more dependable. The experience reminded me that automation isn't automatically an improvement. A faster process can still produce worse results if you remove the wrong checks. Building the prototype helped me see the trade-off early, before we depended on it completely. I had started by asking how to eliminate manual work. The better question turned out to be how to eliminate unnecessary work without losing control over the result. Those two goals sound similar, but they can lead to very different products.
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