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AI Automation

AI Work Systems

These aren’t tool collections — they’re work systems I’ve built to turn multi-source data, recurring sites, Excel summaries, and periodic content into something trackable, readable, and extensible.

30+ Automated Systems
0 Lines of Handwritten Code
AI-Collaborated Builds

Business-first problem definition. AI-collaborated execution — ideas that turn into systems running every day.


Featured Tools (8 Representative Systems)

Selected from 30+ work systems to represent four core capabilities: integrate · monitor · summarize · interpret.

Integration Dashboard Investment Monitoring Center — multi-source summary on one page, AI work system
01

Integration Dashboard | Investment Monitoring Center

Multi-source summaries on one page. Integrates foreign institutional equity flows, futures large-trader positions, options large-trader positions, and US stock tracking — converging scattered summaries into a single decision view.

Integration Dashboard Data Aggregation
Taiwan Stock Monitoring Dashboard — multi-indicator integrated view, AI work system
02

Integration Dashboard | Taiwan Stock Monitoring Dashboard

Multi-indicator monitoring on a single screen. Integrates day-trading, MA/deviation rate, TSMC comparison chart, TX/TE and other perspectives — no more tab-switching between spreadsheets.

Multi-Indicator Monitoring Dashboard
MOPS Individual Stock Monitor — major announcement tracking from public disclosure system, AI work system
03

MOPS Individual Stock Monitor

Centralized tracking of recurring source information. For specified stocks, organizes major announcements and investor presentation slides from MOPS (Market Observation Post System) — fixed source, fixed rules, fixed update logic.

Fixed-Source Monitoring Document Tracking
Sat Integration Tracker — Taiwan news and US ETF weekly digest system, AI work system
04

Sat Integration Tracker

Weekly multi-source roundup in one place. Integrates Taiwan news, US ETF tracking, and keyword-based weekend monitoring — turning scattered information into a fixed-rhythm weekly digest.

Weekly Digest System Market Intelligence
Auto Research Keyword Collector — cross-language research and link organization, AI work system
05

Auto Research / Keyword Collector (Desktop)

Cross-language research and link list collection. Python workflow for specified topics — pulls research, organizes link lists and pricing info, supports Traditional Chinese, English, and multilingual sources.

Research Automation Data Collection
TW Stock News Tracker — automated news aggregation for specified stocks, AI work system
06

TW Stock News Tracker

Automated news aggregation for specified stocks. Continuously organizes news and updates for a fixed watchlist — reducing manual search, fixed watchlist + auto-pull + summarized output.

News Tracking Market Intelligence
YouTube Weekly Digest — multi-channel content summary system, AI work system
07

YouTube Weekly Digest

Condensing multi-channel content into readable summaries. Periodically organizes specified channels and topics — turning high-volume content into a usable weekly digest.

Content Summary Weekly System

Content System Outcomes

The work systems don’t just output data — they output content. Real results from this pipeline:

Muggle Zoo Newsletter

3 weekly takeaways × 1 conclusion × 1 small tool. A live newsletter running on this exact system.

One-Page Site

Muggle Zoo as a content brand portal — integrating video, tools, and newsletter into one flow.

YouTube / IG

Finance-theme short-form video and social posts extended from the modular script pipeline.


How I Build These

Define the problem → Describe requirements to AI in natural language → Multi-round iteration & debugging → Deploy on automated schedule

All systems are developed through AI collaboration, not API integration services. From requirements definition to deployment, handled entirely by me.


Common Questions

Q1. Are these tools demos, or can they actually plug into real workflows?
Both. Some are public-facing demos to help you quickly grasp the logic; others are prototypes from my own actual work systems. In a real engagement, we don’t hand over a screen — we rebuild based on your data sources, your update rhythm, and your decision needs.
Q2. How is your AI work system different from “using ChatGPT for marketing”?
The difference is that I don’t just ask AI to generate content. I connect data sources, update cadence, summarization rules, page output, and follow-up action — end to end. The goal isn’t one-time generation; it’s making information continuously organized, tracked, readable, and usable.
Q3. If a team wants to adopt a similar system, what do they need to prepare first?
Usually three things to nail down first: where your data currently lives, who needs to see it, and what format the output needs to be in. In many cases, you don’t need a deeply integrated system from the start — a first version can be built from Excel, recurring websites, existing reports, or content sources you already have.

Let’s Talk | Book a Free 20-Min Consultation

Want to bring a similar system into your team?
Start with a small, single project — confirm the direction, pace, and working style, then scale from there