Plotch.ai

Building is cheap. Speed to value is everything. We couldn't use Prometheus in one of our AIops solution deployment. So we build our custom Grocatheus for Groclake mirroring 20% what Prometheus would do (because thats what is only thing we needed) in just few hours We were dealing with a highly restricted on-prem environment recently and ran into a classic roadblock: because of strict deployment scopes, we couldn't install Prometheus for observability. In the past, that meant a long fight with compliance or look for alternatives which may not exist or are costly. Instead, we used AI and built a lightweight prometheus replica tool—we called it "grocatheus"—in literally a few hours to bypass the restriction. It is interesting how much engineering has shifted lately. The barrier to building is essentially gone. Because building software is so cheap and fast now, having a massive enterprise platform matters less than just being able to ship a hyper-targeted solution that delivers value right this second. If you can build a custom tool into existence in an afternoon to unblock your team, the old ways of waiting on vendor approvals feel incredibly outdated. Not saying build custom tools for everything. But where you feel the need and value is highest. Curious if anyone else is using AI to spin up single-use or hyper-local tools like this, or if still trying to force standard enterprise stacks into restricted environments when they are a blocker?