EC
EthanCheng.devAI x product x systems

AI-Assisted Product, Systems, and Full-Stack Builder

Building AI-assisted tools that feel intentional instead of theoretical.

Building internal tools, assistant systems, and Linux workflows with AI as a practical multiplier.

I care most about tools that are actually usable: fast enough, clear enough, and maintainable enough to survive beyond the first demo.

Explore projectsRead the story behind the work

Featured work

Four case studies that show how I use AI differently depending on the problem.

One project uses AI directly in the product. Another uses AI to manage a complex internal software roadmap. Another turns Linux customization into reproducible tooling. Another turns dockerized local models into a voice assistant with streaming speech and native runtime clients.

Shipped project

NewForm AI

Featured

A scheduled reporting app that turns ad-platform performance data into readable, AI-generated insight reports with web, email, and PDF delivery paths.

  • Prompting is limited to the metrics the user selected
  • HTML, email, and PDF outputs share the same reporting pipeline
  • Recurring schedules and manual reruns are both supported
Next.js 16TypeScriptTailwind CSS
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Active internal product

TripInvoiceTracker

Featured

An internal transportation workflow app focused on centralizing trips, invoicing, payments, admin controls, and future intake and deployment planning.

  • Single trip entry can feed multiple downstream documents
  • Role-aware admin, office, and dispatch behavior
  • Backup and restore workflow documented for migration and recovery
Node.jsExpressMongoDB
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Active systems toolkit

CachyOS Config

Featured

A Linux desktop configuration repo that evolved into a reproducible restore kit with custom Waybar modules, popup tooling, and scoped backup management.

  • Custom control center, system monitor, clock, calendar, and AI-usage Waybar modules
  • bootstrap.sh restores curated packages and config targets
  • Backup manager GUI supports whole-app and component-level backup selection
PythonBashWaybar
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Active AI voice assistant

Jiggumps

Featured

A private AI voice assistant built around dockerized local models, streaming speech, and native always-on clients that turn Ollama into something you can actually talk to.

  • Docker Compose brings up Ollama, Redis, SearXNG, and the FastAPI assistant backend as one local stack
  • Native shell clients on Windows, macOS, and Linux share one always-on voice runtime
  • Whisper, Piper, wake-word detection, and streaming turn handling work together as one speech pipeline
PythonFastAPIOllama
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