{"id":18005,"date":"2026-05-29T18:59:54","date_gmt":"2026-05-29T18:59:54","guid":{"rendered":"https:\/\/megagon.ai\/?post_type=publications&#038;p=18005"},"modified":"2026-06-03T03:24:47","modified_gmt":"2026-06-03T03:24:47","slug":"l-a-k-e-logic-agent","status":"publish","type":"publications","link":"https:\/\/megagon.ai\/jp\/publications\/l-a-k-e-logic-agent\/","title":{"rendered":"L.A.K.E.: Logic Agent for Knowledge Extraction in Data Planning"},"template":"","publications-tags":[193,192],"conference-year":[353],"conference":[372],"class_list":["post-18005","publications","type-publications","status-publish","hentry","publications-tags-compound-ai","publications-tags-llm-nlp","conference-year-353","conference-cais"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>L.A.K.E.: Logic Agent for Knowledge Extraction in Data Planning - Megagon<\/title>\n<meta name=\"description\" content=\"L.A.K.E. is an agentic data planning framework that transforms natural language questions into executable workflows across heterogeneous enterprise data sources.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/megagon.ai\/jp\/publications\/l-a-k-e-logic-agent\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can You Trust What You Can&#039;t Inspect?\" \/>\n<meta property=\"og:description\" content=\"L.A.K.E. 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