Blog Agent (11)
Multi-Agent(HITL) with n8n
주제와 조건을 입력하면 AI가 조사하고, 쓰고, 세 관점으로 검토한다 — 품질이 미달이면 Slack으로 사람에게 판단을 넘긴다.
Built a multi-agent pipeline that automatically generates a lecture plan from a 6-field webhook input (topic, audience, duration, delivery method, tools, constraints). n8n orchestrates the full workflow across 20 nodes; a Flask server handles all Gemini and Tavily calls.
The pipeline runs in 3 rounds: …
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Single vs Multi-Agent
에이전트를 여러 개로 쪼갠다고 항상 더 똑똑해지는 건 아니다
Before scaling an agentic workflow into a multi-agent pipeline, it's worth asking whether the added complexity actually pays off in token cost.
Single-agent overhead accumulates vertically — context grows turn by turn, but prompt caching keeps reuse efficient. Multi-agent overhead spreads horizontally — each sub-agent …
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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. …
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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 …
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AI Agent with Gemini & Slack
이메일이 오면 AI가 읽고, 판단하고, Slack으로 알린다 — 사람 손 없이.
Built an agentic workflow that classifies incoming emails by urgency using Gemini, then automatically sends the result to Slack. The same 3-node pipeline was implemented three ways — n8n, LangChain, and LangGraph — to directly compare how each tool expresses orchestration.
The core architecture: Orchestration …
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