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      <image:title>KMWORKS 산업별 AI Agent Reference Demo</image:title>
      <image:caption>제조, 설비, 안전, 에너지, 서비스와 물류 업무 AI Agent 데모 16개</image:caption>
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      <image:title>KMWorks AI Tech Lab</image:title>
      <image:caption>기업용 AI Agent, LLM/RAG, 아키텍처, 운영 최적화 기술 블로그</image:caption>
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      <image:title>기업용 AI Agent는 어떻게 설계해야 할까</image:title>
      <image:caption>RAG 기반 아키텍처와 운영 관점에서의 실제 구현 이야기</image:caption>
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      <image:title>기업용 AI Agent 아키텍처 개요</image:title>
      <image:caption>왜 단순 챗봇으로는 부족한가, 그리고 어떻게 설계해야 하는가</image:caption>
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      <image:title>RAG 성능은 Chunking과 Embedding에서 갈린다</image:title>
      <image:caption>검색 정확도를 결정하는 보이지 않는 설계 포인트들</image:caption>
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      <image:title>Vector DB 선택보다 중요한 건 검색 전략이다</image:title>
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      <image:title>모든 질문에 RAG를 쓰면 안 되는 이유</image:title>
      <image:caption>질문 유형에 따라 AI 경로를 분리해야 하는 진짜 이유</image:caption>
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      <image:title>LLM 비용과 응답 속도를 동시에 잡는 방법</image:title>
      <image:caption>운영 환경에서 반드시 마주하게 되는 현실적인 문제들</image:caption>
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      <image:title>Prompt Engineering은 왜 개발자의 일인가</image:title>
      <image:caption>Prompt를 문장이 아니라 제어 로직으로 봐야 하는 이유</image:caption>
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      <image:title>Temperature와 Top-p, 그리고 안정적인 응답</image:title>
      <image:caption>기업용 AI는 왜 창의적이면 안 되는가</image:caption>
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      <image:caption>단순한 응답을 넘어 문제 해결자로 설계하기</image:caption>
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      <image:caption>LLM을 말하는 모델에서 실행하는 시스템으로</image:caption>
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      <image:title>(주)케이엠웍스 고객 관리 솔루션 (보험·영업 CRM)</image:title>
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      <image:title>AI 도입 비용 가이드</image:title>
      <image:caption>기업 AI PoC와 운영 구축 비용 산정 기준</image:caption>
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      <image:title>앱 개발 견적 준비자료</image:title>
      <image:caption>외주 개발 상담 전 요구사항 체크리스트</image:caption>
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      <image:title>(주)케이엠웍스 헬스케어 분야 개발</image:title>
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      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/dash_gangdong.png</image:loc>
      <image:title>(주)케이엠웍스 공공기관 분야 개발</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/industries/manufacturing-logistics/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/dongkuk_transport.png</image:loc>
      <image:title>(주)케이엠웍스 제조·물류 분야 개발</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/wearsmc/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/samsung_health2.png</image:loc>
      <image:title>WearSMC 삼성서울병원 헬스케어 AI 앱</image:title>
      <image:caption>삼성 헬스 기반 환자 정보 분석 시스템 (2025)</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/kwater-spare-parts/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/kwater.png</image:loc>
      <image:title>한국수자원공사 예비자재 관리시스템</image:title>
      <image:caption>공공기관 자재·재고 관리 시스템 (2024)</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/ddabong-bike/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/ddabong.png</image:loc>
      <image:title>따봉자전거 공유 서비스 플랫폼</image:title>
      <image:caption>iOS·Android·IoT 통합 자전거 공유 (2024)</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/dongkuk-transport/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/dongkuk_transport.png</image:loc>
      <image:title>동국제강 모바일 운송관리 시스템</image:title>
      <image:caption>제조·물류 모바일 업무 + 메시징 (2023)</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/dash-gangdong/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/dash_gangdong.png</image:loc>
      <image:title>DASH 강동구청 퍼스널 모빌리티 공유 앱</image:title>
      <image:caption>서울시 리빙랩 공공 킥보드 공유 서비스 (2022)</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/portfolio/microdam/</loc>
    <lastmod>2026-06-16</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/portfolio/microdam.png</image:loc>
      <image:title>MICRODAM MDi IoT 디지털 게이지 앱</image:title>
      <image:caption>BLE 기반 디지털 게이지 IoT 연동 (2021)</image:caption>
    </image:image>
  </url>
  <!-- BEGIN GENERATED AI TECH LAB 25 URLS -->
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-incident-response-runbook/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>생성형 AI 사고 대응 Runbook: 탐지·차단·복구·사후 분석</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/rag-freshness-index-lifecycle/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>RAG 최신성 운영: 생성·수정·삭제·권한 변경과 인덱스 롤백</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-cost-budget-per-task/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Token 비용이 아니라 업무 1건당 AI 예산을 관리하는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/enterprise-ai-data-governance-privacy/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>기업용 생성형 AI 데이터 거버넌스와 개인정보 보호 설계</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/single-vs-multi-agent-architecture/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>단일 에이전트 vs 멀티에이전트: 언제 복잡성을 감수할 가치가 있나?</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/mcp-vs-function-calling/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>MCP와 Function Calling은 무엇이 다르고 어떻게 함께 쓰나</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/llm-latency-user-experience-slo/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>LLM 응답 지연을 사용자 경험과 SLO로 관리하는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/durable-agent-execution-retry-idempotency/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>장시간 실행 AI Agent의 재시작·보상·멱등성 설계</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-agent-memory-design/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>AI 에이전트 메모리 설계: 대화 기억·업무 상태·장기 기억을 어떻게 분리할까?</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/fine-tuning-vs-rag-vs-prompt/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Prompt, RAG, Fine-tuning 중 무엇을 선택해야 할까</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/eval-driven-ai-release/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Eval-driven Release: 모델·프롬프트·인덱스 변경을 안전하게 배포하는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/structured-output-json-schema-contract/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Structured Output과 JSON Schema로 AI 시스템 계약을 만드는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/multimodal-rag-pdf-table-image/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>PDF·표·이미지를 놓치지 않는 멀티모달 RAG 설계</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/context-engineering-vs-prompt-engineering/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Context Engineering은 Prompt Engineering과 무엇이 다른가</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/human-in-the-loop-approval-design/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>기업용 AI 에이전트에 사람 승인(Human-in-the-loop)이 필요한 작업과 설계법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-gateway-model-routing-architecture/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>기업용 AI Gateway와 Multi-model Routing 참조 구조</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/rag-access-control-metadata-filtering/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>기업 RAG 권한 설계: ACL과 메타데이터 필터를 ingestion부터 query까지 연결하는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/structured-output-vs-json-mode/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Structured Output과 JSON mode는 무엇이 다른가</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/hybrid-search-korean-enterprise-rag/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>한국어 기업 RAG의 하이브리드 검색 설계: BM25·벡터·RRF·리랭킹</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/agent-observability-tracing/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>AI Agent 관측성: Trace로 검색·모델·Tool 실패를 찾는 법</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/mcp-enterprise-agent-integration/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>MCP란 무엇인가? Function Calling과 차이 및 기업 AI 에이전트 통합 설계</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-answer-citation-grounding-ux/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>AI 답변의 출처 인용과 Grounding UX는 어떻게 신뢰를 만드는가</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/ai-agent-or-workflow-decision-guide/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>AI 에이전트 vs 챗봇 vs 워크플로 자동화: 무엇을 선택해야 할까?</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/prompt-injection-trust-boundary-defense/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>Prompt Injection과 데이터 유출을 막는 기업 AI 신뢰 경계 설계</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.kmworks.co.kr/ai-tech-lab/rag-evaluation-dataset-metrics/</loc>
    <lastmod>2026-07-18</lastmod>
    <changefreq>monthly</changefreq>
    <priority>0.75</priority>
    <image:image>
      <image:loc>https://www.kmworks.co.kr/assets/images/og-image.png</image:loc>
      <image:title>RAG 평가셋과 지표 설계: 검색과 답변을 분리해 측정하는 법</image:title>
    </image:image>
  </url>
  <!-- END GENERATED AI TECH LAB 25 URLS -->
</urlset>
