AI Practice
Products and tools built with AI — each one documents how I think, choose, and iterate with AI.
Flowtype
GitHub ↗A macOS voice-to-prompt app — turning spoken, messy thoughts into structured coding prompts with one keypress
- 5Pipeline stages
- 0Python deps
- 300MBLocal 4-bit model
Voyager Agent Runtime
GitHub ↗A self-built enterprise intelligence Agent Runtime in Go with the Eino ADK
- 3Memory layers
- 2Session modes
- 1Executable loop
AI Thinking
Practical notes on Loop Engineering, Agent Benchmark, and AI Coding.
A Zero-to-One AI Coding SOP: From One Sentence to Verifiable Delivery
Don't just tell AI to write code — clarify, propose, plan, execute in stages, and prove correctness with tests
How to Use Benchmarks When Building Agents
A benchmark is not an exam — it is an answer bank. Read leaderboards to choose, copy scoring methods to build your own eval set, slice to diagnose
From Loop to Loop Engineering
From prompt engineering to loop engineering — as AI's continuous autonomous work span grows, the engineering focus shifts