<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>ResearchWorkflow on TechLLM</title><link>https://techllm.github.io/tags/researchworkflow/</link><description>Recent content in ResearchWorkflow on TechLLM</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Fri, 01 May 2026 22:50:00 +0900</lastBuildDate><atom:link href="https://techllm.github.io/tags/researchworkflow/index.xml" rel="self" type="application/rss+xml"/><item><title>연구자를 위한 AI Agent 입문: 챗봇을 넘어 연구 워크플로우를 설계하는 법</title><link>https://techllm.github.io/posts/researcher-ai-agent-intro-lecture-2026/</link><pubDate>Fri, 01 May 2026 22:50:00 +0900</pubDate><guid>https://techllm.github.io/posts/researcher-ai-agent-intro-lecture-2026/</guid><description>MahlerLab의 &amp;#39;연구자를 위한 AI Agent 입문 강의&amp;#39;를 바탕으로, AI Agent의 기본 구조, Claude Code·Agent.md·Skills·MCP, Context Engineering, 연구 자동화 전략과 실패 패턴을 정리한다.</description></item></channel></rss>