I’m starting to learn more about where and when to actually employ AI. I feel like too many apps are over-leveraging

-Focus AI on tasks it’s uniquely suited for, rather than forcing it into every process.

- Simpler systems often outperform complex, AI-driven ones.

- Automation isn’t always optimization—question whether each tool adds real value.

- The best solutions often come from reducing dependencies, not adding them.

- Over-reliance on AI can obscure fundamental inefficiencies in your system.

what are your biggest learnings so far?

any surprising use cases?