Aaron Zhang

Game publishing operations. Local-first AI workflow tools.

I build practical tools for work that still depends on private files, human review, and repeatable delivery evidence.

Flagship Project

Localization Workflow Studio

A local web studio for game localization teams working with Excel language tables.

Live demo | Workflow guide | Docs

It is built for the part of localization work that is easy to lose in chat history: prompts, glossary decisions, QA findings, artifact history, and final delivery checks.

What is inside:

• Excel workbook flow: source files, target language sheets, glossary tables, and delivery artifacts.
• Review gates: glossary checks, consistency review, and final artifact review before delivery.
• Local data boundary: files, SQLite data, logs, and keys stay on the user's machine.
• Real app surface: React/Vite frontend, FastAPI backend, Playwright coverage, and GitHub Pages docs.

Project Map

Area	Project	What it does
Game localization	Localization Workflow Studio	Web workbench for translation prompts, glossary QA, Excel delivery gates, and reviewable artifacts.
Excel QA	Localization Workflow	Earlier strict review and regression harness for localization workbooks.
Terminology	Glossary Extraction Workflow	Bilingual glossary extraction and review for Excel language tables.
Agent operations	OA CLI	Local monitoring, token cost review, and operations tooling for OpenClaw-style agent sessions.
Local files	File Management Assistant	Windows file review and knowledge-base organization without turning private files into a cloud workflow.

Current Direction

• Make AI-assisted work inspectable instead of hidden inside prompts.
• Keep sensitive workbooks, logs, and databases local by default.
• Ship small workflow tools with clear inputs, outputs, and review points.

Older experiments are being cleaned up or redirected toward the projects above.