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aaronyi97/README.md

Aaron Yi — AI Workflow Diagnostics

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

Start here

DoneTrace

A local-first evidence, review, supervision, and handoff layer for AI workflows.

Fusion Paradigm

A blind second-model review protocol for hard AI workflow decisions.

Free Async AI Workflow Snapshot

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.

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  1. donetrace donetrace Public

    DoneTrace: a local-first evidence, review, supervision, and handoff layer for AI workflows.

    JavaScript

  2. fusion-paradigm fusion-paradigm Public

    Don't let one AI grade its own homework. Bring in a different family, blind to your plan — then you decide.

    Python 6 1

  3. synthora synthora Public

    Synthora: origin story for AI Workflow Diagnostics; current main line is DoneTrace.

    Python