Blog
OpenClaw: Open Source AI
오래된 맥북에 설치하고 텔레그램으로 말 걸었더니, 자비스가 됐다.
Tested OpenClaw — a free, open-source personal AI agent — by installing it on an old MacBook (Retina 2017) as a dedicated agent machine, instead of running it on my main laptop.
OpenClaw runs locally and connects to messaging apps like Telegram, WhatsApp, and Discord. …
AgentRead more →
Claude Cowork: Daily Brief
매일 아침 6시, AI가 영어 단어·뉴스·일정을 정리해서 메일로 보낸다 — 사람 손 없이.
Built a personal AI Agent that runs every morning at 6:00 AM and delivers a fully assembled daily brief to my inbox — without any manual trigger.
Architecture: Cowork acts as the local automation runtime. At 6:00 AM, a scheduled trigger fires Claude Sonnet with …
AgentRead more →
QA Automation Pipeline
GitHub에 push하면 테스트가 자동으로 돌고, 통과해야만 배포된다 — 사람이 테스트 실행을 기억할 필요가 없다
Built a CI/CD pipeline that enforces test-before-deploy: a GitHub push triggers Jenkins via webhook, Pytest runs automatically, and deployment only proceeds if all tests pass. If tests fail, the pipeline stops at the test stage — deploy never runs.
Jenkins itself runs inside Docker ( …
QARead more →
OCR + Rule + LLM
영수증 사진을 올리면 OCR이 읽고, Rule이 좁히고, LLM이 뽑아낸다 — 근거 없는 값은 절대 반환하지 않는다
Built a local-first receipt understanding pipeline that separates concerns across three explicit stages: OCR extracts text, Rules narrow candidates, and LLM performs semantic extraction — each doing only its own job.
The key principle: no hallucinated evidence. The LLM returns a value only when it …
AIRead more →
RAG Chatbot with Multi-LLM Com
PDF를 올리면 AI가 증거를 찾고, 두 가지 전략으로 답한다
Built a transparent RAG chatbot that makes the full pipeline visible — retrieved chunks, merged context block, and prompt text are all shown in the UI, not hidden.
The same question is answered two ways simultaneously: STRICT returns answers only when evidence explicitly supports them. …
Read more →