[{"data":1,"prerenderedAt":215},["ShallowReactive",2],{"site-settings":3,"$fXbpSzukbTE77rmouDv9apm7OSArrGwaAUaaFn6n70Bo":26,"$f-VFQeKEl46nGLTnlYWZf-kKfPIA-gwjvrLFvaYW3ip8":48},{"id":4,"site_name":5,"site_subtitle":6,"site_description":7,"author":8,"email":9,"github":10,"icp":10,"page_size":11,"enable_comment":12,"enable_rss":12,"updated_at":13,"site_icon":14,"site_og_image":15,"site_keywords":16,"site_og_image_width":24,"site_og_image_height":25},1,"LiteSite（轻站）","把你想做的网站说出来","LiteSite（轻站）探索自然语言驱动的零代码建站体验，展示响应式网站与前端原型的设计方向。","Admin","support@litesite.com",null,10,true,"2026-10-05T03:56:44.502+00:00","https:\u002F\u002Fnklbhnvyoggxghtaoizu.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fblog-images\u002F2026-10-05-1765bce7-01f1-4206-8d5d-6a717d17f206.png","https:\u002F\u002Fnklbhnvyoggxghtaoizu.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fblog-images\u002F2026-10-05-157c3c1d-2722-474c-860b-d3f38d6a674d.png",[17,18,19,20,21,22,23],"LiteSite","轻站","零代码建站","AI建站","响应式网站","前端原型","网站设计",1200,630,[27,32,36,40,44],{"id":28,"name":29,"slug":29,"description":29,"sort_order":30,"created_at":31},3,"技术笔记",2,"2026-07-18T09:25:05.273041+00:00",{"id":33,"name":34,"slug":34,"description":34,"sort_order":28,"created_at":35},4,"学习记录","2026-07-18T09:25:17.214265+00:00",{"id":37,"name":38,"slug":38,"description":38,"sort_order":33,"created_at":39},5,"读书随笔","2026-07-18T09:25:33.511278+00:00",{"id":41,"name":42,"slug":42,"description":42,"sort_order":37,"created_at":43},6,"生活感悟","2026-07-18T09:25:43.70624+00:00",{"id":45,"name":46,"slug":46,"description":46,"sort_order":41,"created_at":47},7,"项目实践","2026-07-18T09:25:52.900386+00:00",{"items":49,"total":11,"page":4,"pageSize":214},[50,69,85,101,121,139,155,171,186,199],{"id":51,"slug":52,"title":53,"summary":54,"status":55,"tags":56,"seo_keywords":61,"published_at":67,"category":68},22,"llm-output-instability-hallucination","模型返回不稳定 \u002F 幻觉怎么办？","区分随机波动与事实幻觉，沿着样本评测、证据检索、结构校验、业务规则和人工回退建立可验证的大模型输出链路。","published",[57,59],{"name":58,"slug":58},"工程",{"name":60,"slug":60},"大模型",[62,63,64,65,66],"模型幻觉怎么办","大模型输出不稳定","LLM幻觉","RAG事实校验","模型评测","2026-10-05T04:17:13.315+00:00",{"id":28,"name":29,"slug":29},{"id":70,"slug":71,"title":72,"summary":73,"status":55,"tags":74,"seo_keywords":77,"published_at":83,"category":84},21,"llm-cost-budget-guardrails","大模型调用怎么控制成本？把预算控制放进请求链路","从请求准入、原子预留、真实用量结算到超支降级，设计一套能在并发与重试下运行的大模型调用预算控制链路。",[75,76],{"name":58,"slug":58},{"name":60,"slug":60},[78,79,80,81,82],"大模型调用成本控制","LLM预算管理","Token费用","模型调用限额","API成本监控","2026-10-05T04:14:07.621+00:00",{"id":28,"name":29,"slug":29},{"id":86,"slug":87,"title":88,"summary":89,"status":55,"tags":90,"seo_keywords":93,"published_at":99,"category":100},20,"llm-structured-output-reliability","结构化输出怎么保证模型按格式返回？","模型返回 JSON 不等于系统拿到可用数据。本文区分提示词、JSON 模式与 Schema 约束，说明如何用服务端校验、有限重试和业务规则构建可靠的结构化输出链路。",[91,92],{"name":58,"slug":58},{"name":60,"slug":60},[94,95,96,97,98],"大模型结构化输出","JSON Schema","模型按格式返回","LLM输出校验","约束解码","2026-10-05T04:10:02.025+00:00",{"id":28,"name":29,"slug":29},{"id":102,"slug":103,"title":104,"summary":105,"status":55,"tags":106,"seo_keywords":113,"published_at":119,"category":120},19,"geo-vs-seo-explained","理解 GEO 是什么？和 SEO 有什么区别？","GEO 是什么，和 SEO 有什么区别？从用户提问、内容呈现、优化动作与衡量指标四个角度讲清两者的关系，并给出一套适合建站团队的入门做法。",[107,110],{"name":108,"slug":109},"建站","jianzhan",{"name":111,"slug":112},"GEO","geo",[114,115,116,117,118],"GEO是什么","GEO和SEO的区别","生成式引擎优化","SEO","AI搜索优化","2026-10-05T04:07:05.673+00:00",{"id":28,"name":29,"slug":29},{"id":122,"slug":123,"title":124,"summary":125,"status":55,"tags":126,"seo_keywords":131,"published_at":137,"category":138},18,"how-nuxt-ssr-works","Nuxt 的 SSR 是怎么做的？从请求、数据获取到 Hydration","沿着一次文章页请求，看 Nuxt 如何用 Nitro 接收请求、在服务端执行 useFetch 并生成 HTML，再由浏览器复用 payload 完成 Hydration。",[127,128],{"name":58,"slug":58},{"name":129,"slug":130},"Nuxt","nuxt",[132,133,134,135,136],"Nuxt SSR","Nuxt服务端渲染","Nuxt useFetch","Hydration","Nitro渲染流程","2026-10-05T03:55:36.035+00:00",{"id":28,"name":29,"slug":29},{"id":140,"slug":141,"title":142,"summary":143,"status":55,"tags":144,"seo_keywords":147,"published_at":153,"category":154},17,"llm-api-cost-control","大模型调用怎么控制成本？一笔账算清缓存、输出与重试","先按输入、输出和额外调用算清单次成本，再用缓存、模型路由、上下文裁剪和预算限额降本，并用可用答案质量守住效果。",[145,146],{"name":58,"slug":58},{"name":60,"slug":60},[148,149,150,151,152],"大模型调用成本","LLM API成本控制","Token费用计算","提示词缓存","模型路由","2026-10-05T03:49:26.666+00:00",{"id":28,"name":29,"slug":29},{"id":156,"slug":157,"title":158,"summary":159,"status":55,"tags":160,"seo_keywords":163,"published_at":169,"category":170},16,"geo-technical-pipeline-design","GEO 的技术链路你会怎么设计？","从问题池、证据库、可读页面到答案采样与质量回写，设计一条可维护的 GEO 技术链路，并明确外部 AI 系统的边界。",[161,162],{"name":58,"slug":58},{"name":111,"slug":112},[164,165,166,167,168],"GEO技术链路","GEO技术方案","生成式引擎优化架构","AI搜索内容工程","GEO监测","2026-10-05T03:44:34.947+00:00",{"id":28,"name":29,"slug":29},{"id":172,"slug":173,"title":174,"summary":175,"status":55,"tags":176,"seo_keywords":178,"published_at":184,"category":185},15,"geo-core-metrics-calculation","GEO 的核心指标你怎么理解？怎么算？","用同一组问题和明确的分母，算清 GEO 的品牌提及率、引用率、有效引用率、竞争提及份额与有效线索率。",[177],{"name":111,"slug":112},[179,180,181,182,183],"GEO核心指标","GEO指标怎么算","品牌提及率","AI引用率","生成式引擎优化效果","2026-10-05T03:40:09.175+00:00",{"id":28,"name":29,"slug":29},{"id":187,"slug":188,"title":189,"summary":190,"status":55,"tags":191,"seo_keywords":194,"published_at":197,"category":198},14,"geo-business-understanding","GEO 从业务理解开始：把真实问题写成可引用的内容","做 GEO 之前，先弄清业务服务谁、用户在什么场景下提问、哪些证据能支持回答，再用真实问题和业务结果验证内容。",[192,193],{"name":108,"slug":109},{"name":111,"slug":112},[111,116,195,196,118],"业务理解","GEO内容策略","2026-10-05T03:33:52.358+00:00",{"id":28,"name":29,"slug":29},{"id":200,"slug":201,"title":202,"summary":203,"status":55,"tags":204,"seo_keywords":206,"published_at":212,"category":213},13,"website-launch-checklist","网站上线前后检查清单：从可访问到可维护","一份实用的网站上线清单，逐项检查域名、HTTPS、手机体验、页面速度、SEO、表单、备份与上线后的监测。",[205],{"name":58,"slug":58},[207,208,209,210,211],"网站上线检查清单","网站上线","网站性能优化","网站SEO","网站维护","2026-10-05T03:24:44.969+00:00",{"id":28,"name":29,"slug":29},100,1791174015093]