AI automation
Otto Build: the system that builds the systems
Our general automation builder: an AI pipeline that designs, builds, tests, and ships n8n workflows, trigger.dev tasks, and web apps, with human approval gates where they matter.
The problem
Every automation we shipped used to start from a blank canvas: design decisions re-made, old mistakes re-learned, quality depending on whoever built it that day.
Letting AI build unsupervised is not the fix either. Anything that writes to production needs a human saying go.
What we built
Otto Build splits the work into gated stages. An architect designs the spec and a visual wireframe, nothing gets built until a human approves, the build lands inactive and documented, and a phased test loop scores it from basic function through optimization before a final gated go-live.
Every lesson from every build feeds a learning loop that updates the system's own rules, so the builder gets sharper with each project. This portfolio site is one of its builds.
The result
Repeatable builds instead of heroics
2
human approval gates per build
4
test phases before go-live
3
platforms: n8n, trigger.dev, web