分析済みURL
https://bild.systems
計測: 一昨日
AI-Readyスコア
良好
/ 100
トークン削減量
スコア内訳
新興プロトコル
6件中0件検出AIエージェントが探すwell-knownエンドポイント。検出されればエージェントが自動的にあなたのサービスを発見・接続できます。
-
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
この数字は動きます。 モニタリングは開発中です。リストに登録すると公開時にお知らせします。
リストに登録されました!サービス開始時にお知らせします。
計測結果 Main content starts at 77% of HTML
メインコンテンツがHTMLドキュメントの後半に位置しています。AIエージェントは早い位置に表示されるコンテンツにより高い重みを付ける可能性があります。
実装方法
<main>または<article>コンテンツがサイドバーや補足コンテンツより前に表示されるようHTMLを再構成してください。
計測結果 Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)
ページの実際のコンテンツとHTML全体の比率が低いです。ページ重量の多くがコンテンツではなくマークアップ、スクリプト、スタイルです。
実装方法
CSSを外部スタイルシートに移動し、インラインスタイルを削除し、JavaScriptを最小化し、HTMLがコンテンツ構造に集中するようにしてください。
計測結果 CDN level (Cloudflare) — Content negotiation
サイトがMarkdown for Agentsに対応していません。このCloudflare標準により、AIエージェントがmarkdown形式でコンテンツをリクエストでき、トークン使用量を約80%削減できます。
実装方法
以下の1つ以上を実装してください:(1) Accept: text/markdownにmarkdownコンテンツで応答。(2) .md URL(例:/page.md)を提供。(3) <link rel="alternate" type="text/markdown">タグを追加。(4) markdown検出用のLink HTTPヘッダーを追加。
計測結果 9/258 elements with inline styles (3.5%)
多くの要素にインラインスタイル属性があります。これらはAIエージェントがコンテンツを抽出する際のノイズになります。
実装方法
すべてのインラインスタイルをスタイルシートのCSSクラスに移動してください。多くの固有スタイルが必要な場合はTailwindなどのユーティリティCSSフレームワークを使用してください。
## 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)
このファイルをサーバーの/index.mdとしてアップロードし、AIエージェントがページのクリーンなバージョンにアクセスできるようにしましょう。Accept: text/markdownコンテンツネゴシエーションを設定して自動的に配信することもできます。
推奨内容
# 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)
完全なllms.txtにはドメイン全体の分析が必要です(近日公開)
このファイルをドメインのルートにhttps://bild.systems/llms.txtとしてアップロードしてください。ChatGPT、Claude、PerplexityなどのAIエージェントはこのファイルを確認してサイト構造を理解します。
このサイトにはすでにllms.txtファイルがあります。
有効な形式# 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)
アクセシビリティ
Content available without JavaScript
Main content starts at 77% of HTML
Page size: 63KB
AI発見可能性
All major AI search bots allowed
Sitemap found
robots.txt exists
llms.txt exists and is valid
構造化データ
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 120 chars
Canonical URL present
lang="en-AU"
セマンティック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
コンテンツ効率
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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"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\">"
}
]
}
]
}
APIを使用してプログラムで取得できます(近日公開)
このJSONは内部使用向けです — MarkdownやllMs.txtファイルとは異なり、サイトにアップロードするものではありません。スコアの経時変化を追跡するための基準値として保存するか、開発チームと共有するか、CI/CDパイプラインに統合してください。
結果を共有
または AI に改善方法を聞く
セカンドオピニオンもどうぞ
Cloudflare も無料のスキャナーを公開していますが、問いが違います。あちらは、エージェントが呼び出すためにサイトが公開しているもの(MCP server card、Agent Skills、API カタログ、DNS レコード)を採点します。当社は、エージェントがコンテンツに到達し、読み、理解できるかを採点します。片方が高く、もう片方が低いサイトもあります。数字が食い違うのは当然です。別々の問いへの答えであり、どちらも知る価値があります。
Cloudflare で bild.systems をスキャンバッジを埋め込む
このバッジをサイトに追加してください。AI対応スコアが変わると自動的に更新されます。
<script src="https://agentready.md/badge.js" data-id="2e3b4404-0c9d-4670-8eb2-8ac576b9451f" data-domain="bild.systems"></script>
[](https://agentready.md/ja/r/2e3b4404-0c9d-4670-8eb2-8ac576b9451f)
近日公開: ドメイン全体分析
ドメイン全体をクロールし、llms.txtを生成し、AI対応スコアを経時的にモニタリング。ウェイトリストに登録して通知を受け取りましょう。
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