Blog AI (17)

AI & HCI

Claude 101 Course Notes

Claude 제품 전반의 기능과 실무 활용법을 체계적으로 정리한 강의 수강 노트

Completed Anthropic's official Claude 101 course, part of the Anthropic Academy curriculum, and put together notes on what stood out.

The course walks through Claude's core surfaces with concrete, real-world examples rather than abstract feature lists:

• Three working modes — a clear breakdown of when …

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AI & HCI

Multi-Agent with Claude Code

주제와 조건을 입력하면 9개 서브에이전트가 조사하고, 쓰고, 검토하고, 고친다 — 코드 없이

Built a multi-agent pipeline that automatically generates a lecture plan from a natural language prompt. No code — orchestrated entirely through CLAUDE.md (entry point only, 3 lines) and agent definition files (.claude/agents/*.md).

The pipeline runs in 4 rounds: sequential planning → parallel web research (up …

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AI & HCI

ReAct Research Agent with Lang

n8n 캔버스에서 화살표로 그렸던 루프를, 코드 한 줄의 그래프 선언으로 옮겼다.

Reimplemented the same ReAct (Reasoning + Acting) research agent from the n8n version, this time as an explicit graph in LangGraph. Where n8n expressed the loop as a line drawn back to an earlier node on a canvas, add_conditional_edges expresses the same logic in code. …

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AI & HCI

ReAct Research Agent with n8n

주제 하나만 던지면, AI가 스스로 검색하고 판단하고 — 부족하면 다시 검색한다.

Built a ReAct (Reasoning + Acting) agent that autonomously repeats search and judgment until it has enough information to answer a research topic. Unlike a single-pass pipeline, this agent decides for itself whether to search again or stop, using Gemini for judgment and Tavily for …

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AI & HCI

Claude Code Practical Guide

챗봇이랑 뭐가 달라요? 물어보는 사람이 많아서 정리했다.

A practical reference guide for Claude Code — the terminal-based AI coding agent by Anthropic. Covers the key difference from the chat interface, essential commands, and common gotchas that trip up first-time users.

Core concept: Claude Code runs in your terminal and acts directly on …

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