분석된 URL
https://bild.systems
측정: 그저께
AI-Ready 점수
양호
/ 100
토큰 절감량
점수 상세
신흥 프로토콜
6개 중 0개 감지AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
이 점수는 그대로 있지 않습니다. 모니터링은 아직 없습니다. 명단에 등록하면 출시할 때 알려드립니다.
명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.
측정 결과 Main content starts at 77% of HTML
주요 콘텐츠가 HTML 문서의 후반부에 나타납니다. AI 에이전트는 일찍 나타나는 콘텐츠에 더 높은 가중치를 줄 수 있습니다.
구현 방법
<main> 또는 <article> 콘텐츠가 사이드바와 부가 콘텐츠보다 먼저 나타나도록 HTML을 재구성하세요.
측정 결과 Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)
페이지의 실제 콘텐츠와 전체 HTML의 비율이 낮습니다. 페이지 무게의 상당 부분이 콘텐츠가 아닌 마크업, 스크립트, 스타일입니다.
구현 방법
CSS를 외부 스타일시트로 이동하고, 인라인 스타일을 제거하고, JavaScript를 최소화하고, HTML이 콘텐츠 구조에 집중하도록 하세요.
측정 결과 CDN level (Cloudflare) — Content negotiation
사이트가 Markdown for Agents를 지원하지 않습니다. 이 Cloudflare 표준을 통해 AI 에이전트가 마크다운 형식으로 콘텐츠를 요청할 수 있으며, 토큰 사용량을 ~80% 줄일 수 있습니다.
구현 방법
다음 중 하나 이상을 구현하세요: (1) Accept: text/markdown에 마크다운 콘텐츠로 응답. (2) .md URL 제공 (예: /page.md). (3) <link rel="alternate" type="text/markdown"> 태그 추가. (4) 마크다운 발견을 위한 Link HTTP 헤더 추가.
측정 결과 9/258 elements with inline styles (3.5%)
많은 요소에 인라인 스타일 속성이 있습니다. 이는 콘텐츠를 추출하는 AI 에이전트에게 잡음이 됩니다.
구현 방법
모든 인라인 스타일을 스타일시트의 CSS 클래스로 이동하세요. 많은 고유 스타일이 필요하면 Tailwind 같은 유틸리티 CSS 프레임워크를 사용하세요.
## We build the systems that do the busywork, so people can do the good work. Automation, made human.      Our workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around. ## Workflow Build We map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named. ## Operations Audit Two weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return. ## Ongoing Care We hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month. ## What we hold to. • Machine work People shouldn’t do machine work. 01 • Human checkpoints Machines type; humans sign. 02 • What we report No hype. Just throughput. 03 Nothing repetitive should reach a human desk. That is the whole ambition. ## Observed, not staged. ### The Friday spreadsheet Ninety minutes of senior attention, every week, reconciling three systems that don’t talk to each other. ### Where to put the checkpoint Not everywhere, and not at the end. The useful ones sit where a decision changes what happens next. ### What we don’t automate Anything where the answer depends on who’s asking, or where being wrong costs more than being slow. Every workflow we ship is built so the busywork stops reaching a human desk
bild — Automation, made human. [](https://bild.systems/) # We build the systems that do the busywork, so people can do the good work. Automation, made human.      Our workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around. ## Workflow Build We map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named. [Learn more — Workflow Build](https://bild.systems/workflows#workflow-build) ## Operations Audit Two weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return. [Learn more — Operations Audit](https://bild.systems/workflows#operations-audit) ## Ongoing Care We hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month. [Learn more — Ongoing Care](https://bild.systems/workflows#ongoing-care) ## What we hold to. • Machine work People shouldn’t do machine work. 01 • Human checkpoints Machines type; humans sign. 02 • What we report No hype. Just throughput. 03 Nothing repetitive should reach a human desk. That is the whole ambition. ## Observed, not staged. ### The Friday spreadsheet Ninety minutes of senior attention, every week, reconciling three systems that don’t talk to each other. [Read note — The Friday spreadsheet](https://bild.systems/thinking#note-014)Note 014 ### Where to put the checkpoint Not everywhere, and not at the end. The useful ones sit where a decision changes what happens next. [Read note — Where to put the checkpoint](https://bild.systems/thinking#note-019)Note 019 ### What we don’t automate Anything where the answer depends on who’s asking, or where being wrong costs more than being slow. [Read note — What we don’t automate](https://bild.systems/thinking#note-023)Note 023 Every workflow we ship is built so the busywork stops reaching a human desk [Tell us what’s stuck](https://bild.systems/contact)
이 파일을 서버의 /index.md에 업로드하여 AI 에이전트가 페이지의 깔끔한 버전에 접근할 수 있게 하세요. Accept: text/markdown 콘텐츠 협상을 설정하여 자동으로 제공할 수도 있습니다.
권장 내용
# bild > bild designs and builds agent workflows around the way your team already works — taking repetitive operations off your plate without taking judgment out of the room. ## Documentation - [FAQ](https://bild.systems/faq) ## Main - [bild — Automation, made human.](https://bild.systems): bild builds agent workflows around the way your team already works — busywork off your plate, judgment kept in the room. - [About](https://bild.systems/about) - [Workflows](https://bild.systems/workflows) - [Approach](https://bild.systems/approach) - [Thinking](https://bild.systems/thinking) - [Security](https://bild.systems/security) ## Legal - [Privacy](https://bild.systems/privacy) - [Terms](https://bild.systems/terms) ## Support - [FAQ](https://bild.systems/faq) - [Tell us what's stuck →](https://bild.systems/contact)
전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)
이 파일을 도메인 루트의 https://bild.systems/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.
이 사이트에는 이미 llms.txt 파일이 있습니다.
유효한 형식# bild > bild (bild systems) is an automation and AI agent-workflow consultancy. We design and build agent workflows around the way a team already works — their existing stack, protocols and security guardrails — taking repetitive operations off their plate without taking judgment out of the room. Every workflow keeps named human checkpoints (the agent drafts, the team approves) and the success number is agreed before work starts. Key facts: - Positioning line: "We build the systems that do the busywork, so people can do the good work." - Tagline: "Automation, made human." - Nothing bild builds is fully autonomous — human checkpoints are method, not marketing. - Workflows are built on the client's existing tools; bild resells no platform. - Contact: [email protected] - The name is always lowercase: "bild", never "Bild". - Every page is also served as markdown: append `.md` to the path (e.g. https://bild.systems/approach.md, homepage: https://bild.systems/index.md) or request any page URL with `Accept: text/markdown`. ## Pages - [Home](https://bild.systems/): what bild does and holds to - [Workflows](https://bild.systems/workflows): the three engagements — Operations Audit (two weeks to find and rank the work worth automating), Workflow Build (ship the agent workflow for one stuck process), Ongoing Care (hold the workflow after it ships) - [Approach](https://bild.systems/approach): the method — find the work in the way, agree the number, build around the stack with named checkpoints, run quiet and keep the record - [Thinking](https://bild.systems/thinking): field notes — short observations from inside operations - [About](https://bild.systems/about): the origin story — bild automated its own agency's operations first; clients asked for the method - [FAQ](https://bild.systems/faq): common questions on team impact, messy processes, reliability, data safety and how engagements start - [Contact](https://bild.systems/contact): the enquiry form — "Tell us what's stuck" ## Optional - [Privacy](https://bild.systems/privacy) - [Security](https://bild.systems/security) - [Terms](https://bild.systems/terms)
접근성
Content available without JavaScript
Main content starts at 77% of HTML
Page size: 63KB
AI 발견 가능성
All major AI search bots allowed
Sitemap found
robots.txt exists
llms.txt exists and is valid
구조화 데이터
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 120 chars
Canonical URL present
lang="en-AU"
시맨틱 HTML
Clean heading hierarchy
Has both <article> and <main>
21 semantic elements, 59 divs (ratio: 26%)
No informative images (5 decorative)
Avg div depth: 1.3, max: 3
콘텐츠 효율성
98% token reduction (HTML→Markdown)
Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)
HTML size: 63KB
9/258 elements with inline styles (3.5%)
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],
"llmsTxtPreview": "# bild\n\n> bild designs and builds agent workflows around the way your team already works — taking repetitive operations off your plate without taking judgment out of the room.\n\n## Documentation\n- [FAQ](https://bild.systems/faq)\n\n## Main\n- [bild — Automation, made human.](https://bild.systems): bild builds agent workflows around the way your team already works — busywork off your plate, judgment kept in the room.\n- [About](https://bild.systems/about)\n- [Workflows](https://bild.systems/workflows)\n- [Approach](https://bild.systems/approach)\n- [Thinking](https://bild.systems/thinking)\n- [Security](https://bild.systems/security)\n\n## Legal\n- [Privacy](https://bild.systems/privacy)\n- [Terms](https://bild.systems/terms)\n\n## Support\n- [FAQ](https://bild.systems/faq)\n- [Tell us what's stuck →](https://bild.systems/contact)\n\n",
"llmsTxtExisting": "# bild\n\n> bild (bild systems) is an automation and AI agent-workflow consultancy. We design and build agent workflows around the way a team already works — their existing stack, protocols and security guardrails — taking repetitive operations off their plate without taking judgment out of the room. Every workflow keeps named human checkpoints (the agent drafts, the team approves) and the success number is agreed before work starts.\n\nKey facts:\n\n- Positioning line: \"We build the systems that do the busywork, so people can do the good work.\"\n- Tagline: \"Automation, made human.\"\n- Nothing bild builds is fully autonomous — human checkpoints are method, not marketing.\n- Workflows are built on the client's existing tools; bild resells no platform.\n- Contact: [email protected]\n- The name is always lowercase: \"bild\", never \"Bild\".\n- Every page is also served as markdown: append `.md` to the path (e.g. https://bild.systems/approach.md, homepage: https://bild.systems/index.md) or request any page URL with `Accept: text/markdown`.\n\n## Pages\n\n- [Home](https://bild.systems/): what bild does and holds to\n- [Workflows](https://bild.systems/workflows): the three engagements — Operations Audit (two weeks to find and rank the work worth automating), Workflow Build (ship the agent workflow for one stuck process), Ongoing Care (hold the workflow after it ships)\n- [Approach](https://bild.systems/approach): the method — find the work in the way, agree the number, build around the stack with named checkpoints, run quiet and keep the record\n- [Thinking](https://bild.systems/thinking): field notes — short observations from inside operations\n- [About](https://bild.systems/about): the origin story — bild automated its own agency's operations first; clients asked for the method\n- [FAQ](https://bild.systems/faq): common questions on team impact, messy processes, reliability, data safety and how engagements start\n- [Contact](https://bild.systems/contact): the enquiry form — \"Tell us what's stuck\"\n\n## Optional\n\n- [Privacy](https://bild.systems/privacy)\n- [Security](https://bild.systems/security)\n- [Terms](https://bild.systems/terms)",
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://bild.systems/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://bild.systems/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://bild.systems/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://bild.systems/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://bild.systems/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://bild.systems/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
"probed": true,
"bot": "OAI-SearchBot",
"controlStatus": 200,
"botStatus": 200,
"discriminates": false,
"refusedAsBot": false,
"edge": "Cloudflare",
"verifiable": false,
"detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
},
"snippets": [
{
"id": "add_markdown_negotiation",
"title": "Support Markdown for Agents",
"description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
"language": "html",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
},
{
"id": "express",
"label": "Express",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"
},
{
"id": "fastify",
"label": "Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page/route.ts",
"code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n if (!is_singular()) return;\n $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n if (strpos($accept, 'text/markdown') === false) return;\n header('Content-Type: text/markdown; charset=utf-8');\n header('Vary: Accept');\n $post = get_queried_object();\n echo \"# \" . get_the_title($post) . \"\\n\\n\";\n echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n exit;\n});"
},
{
"id": "static",
"label": "Hugo / Jekyll / Astro",
"language": "txt",
"filename": "static/page.md",
"code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n# <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
}
]
}
]
}
API를 사용하여 프로그래밍 방식으로 가져올 수 있습니다 (곧 출시)
이 JSON은 내부용입니다 — Markdown 및 llms.txt 파일과 달리 사이트에 업로드하기 위한 것이 아닙니다. 시간에 따른 점수 추적을 위한 기준값으로 저장하거나, 개발팀과 공유하거나, CI/CD 파이프라인에 통합하세요.
결과 공유
또는 AI에게 개선 방법을 물어보세요
다른 의견도 들어보시겠어요?
Cloudflare에도 무료 스캐너가 있는데, 던지는 질문이 다릅니다. 그쪽은 에이전트가 호출할 수 있도록 사이트가 게시한 것(MCP 서버 카드, Agent Skills, API 카탈로그, DNS 레코드)을 채점합니다. 저희는 에이전트가 콘텐츠에 도달해 읽고 이해할 수 있는지를 채점합니다. 한쪽은 좋고 다른 쪽은 나쁠 수 있으니 두 점수가 다른 것은 당연합니다. 서로 다른 질문에 대한 답이고, 둘 다 알아둘 가치가 있습니다.
Cloudflare로 bild.systems 검사하기배지 삽입
이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.
<script src="https://agentready.md/badge.js" data-id="09713637-3cd5-4c33-a726-d9567bbb5bff" data-domain="bild.systems"></script>
[](https://agentready.md/ko/r/09713637-3cd5-4c33-a726-d9567bbb5bff)
곧 출시: 전체 도메인 분석
전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.
명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.