If you build with AI, the workflow breaks in places you don’t see — work marked “done” that isn’t, context quietly lost, reviews that rubber-stamp. I find those breaks. I build local-first tools to catch them.
AI can generate work fast, but without evidence, review, supervision, handoff, and human decision points, the workflow breaks.
DoneTrace is the formal product name for the system below.
I build local-first systems for AI Workflow Diagnostics:
- fake done
- lost context
- weak review
- missing supervision
- poor handoff
- unclear human decision points
A local-first evidence, review, supervision, and handoff layer for AI workflows.
A blind second-model review protocol for hard AI workflow decisions.
Send me one workflow, one failed AI task, or one place where your AI process keeps breaking. I’ll tell you where I think it breaks.
No live call required.
Start here: Request a free workflow snapshot.



