Rico Fang

Systems, automation, and applied AI

Home

Systems with intent.

Systems practice

Workflow automation, internal tools, and bounded AI systems.

Building calmer systems for work that should feel clear, durable, and easy to run.

I design operational software, automation flows, and applied AI interfaces that reduce repetition, clarify handoffs, and turn fragile routines into maintainable systems.

Selected work

Work

CE-Assist workflow illustration

CE-Assist

01 / 2026
email ops workflow feishu

An operational assistant for email analysis, state routing, notification logic, and bounded AI summaries.

XHS Factory content workflow illustration

XHS Factory

02 / 2026
content pipeline automation

A content pipeline for trend capture, topic synthesis, review, and publish-ready editorial output.

IC Database reference system illustration

IC Database

03 / 2026
research data reference

A structured reference layer for semiconductor and component information, designed for lookup, comparison, and synthesis.

Open source contributions illustration

Open Source Contributions

04 / 2026
openclaw astrbot gradio

Hands-on contributions to community projects across AI tooling, agent systems, interface polish, and practical fixes.

Method

Approach

I approach software as an operational design problem. The goal is not to add more surface area, but to reduce noise, clarify decisions, and give each system a shape people can actually work with.

[01]

Operational Mapping

Start with the actual workflow: states, handoffs, failure points, and where people lose time.

Before building software, I map the operating path itself. Good systems remove repeated coordination, expose blocked states early, and keep the next useful action visible.
[02]

Interface Discipline

Design interfaces with a narrow purpose, strong hierarchy, and as little ceremony as possible.

I prefer surfaces that feel calm under pressure. The right tool should guide a team through work, not ask them to translate a dashboard back into reality.
[03]

Bounded AI Systems

Use models where they compress effort, but keep clear limits, review paths, and observable failure modes.

AI belongs inside guarded workflows, not loose promises. I use it where it sharpens execution, while preserving fallback paths, auditability, and human control.

The Lab

Ask

Single-turn interface

A guarded prompt surface for questions on systems, workflows, and applied AI.

1 request / hour / IP