This perspective really resonates. Many great workflows are not born from perfect theories or architecture diagrams, they come from real frustrations, repeated problems, and the need to make something work better.

The best automation usually starts with a painful manual process that someone deeply understands. Without that pain point, it is easy to build something technically impressive but practically unnecessary.

Agentic workflows especially need this mindset. The goal should not be adding AI just because it is possible, but using it where it can remove friction, improve decision-making, and give people more time for meaningful work.

I think the most valuable AI systems will come from builders who have experienced the problem firsthand and design solutions around real needs rather than chasing trends.

Great article. It is a good reminder that innovation often starts with a problem that refuses to go away.