Prenger Solutions Group’s Post

When I first started building automations 4 years ago, I approached each build with one goal in mind: solve the problem completely. Every path. Every outcome. Every exception accounted for. The result? Overengineered automations that were hard to maintain and even harder to improve. If too much changed, things would break - and I'd have to start over. Debugging became a job in itself. Managing all the moving parts was time-consuming. Over time, I’ve learned to solve for 70% instead. That means focusing on the most common, high-impact areas - the busy work that consumes most of our time. Edge cases will always exist, and I’ve learned they’re usually better handled by a human. This approach reduces errors, simplifies debugging, and shortens run times. Best of all, it makes automation easier to evolve - because with a solid foundation, you can add improvements without the risk of starting over. 💡 My advice: Automate where it makes sense. Leave the overly complex stuff for people. Evolve as you go.