URL analysée
https://bild.systems
Mesuré avant-hier
Score AI-Ready
Bon
sur 100
Économie de tokens
Détail du score
Protocoles émergents
0 sur 6 détectésEndpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.
-
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
Cela ne reste pas en place. La surveillance n'existe pas encore : inscrivez-vous, on vous préviendra.
Vous êtes sur la liste ! Nous vous préviendrons lors du lancement.
Ce que nous avons mesuré Main content starts at 77% of HTML
Le contenu principal apparaît tardivement dans le document HTML. Les AI agents peuvent accorder plus d’importance au contenu qui apparaît tôt.
Comment implémenter
Restructurez votre HTML pour que le contenu <main> ou <article> apparaisse avant les barres latérales et le contenu supplémentaire.
Ce que nous avons mesuré Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)
Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.
Comment implémenter
Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.
Ce que nous avons mesuré CDN level (Cloudflare) — Content negotiation
Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.
Comment implémenter
Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.
Ce que nous avons mesuré 9/258 elements with inline styles (3.5%)
De nombreux éléments ont des attributs de style en ligne. Ils ajoutent du bruit pour les AI agents lors de l’extraction du contenu.
Comment implémenter
Déplacez tous les styles en ligne vers des classes CSS dans votre feuille de style. Utilisez des frameworks CSS utilitaires comme Tailwind si vous avez besoin de nombreux styles uniques.
## 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)
Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.
Notre recommandation
# 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)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://bild.systems/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.
Ce site possède déjà un fichier llms.txt.
Format valide# 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)
Accessibilité
Content available without JavaScript
Main content starts at 77% of HTML
Page size: 63KB
Visibilité IA
All major AI search bots allowed
Sitemap found
robots.txt exists
llms.txt exists and is valid
Données structurées
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 120 chars
Canonical URL present
lang="en-AU"
HTML sémantique
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
Efficacité du contenu
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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"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\">"
}
]
}
]
}
Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)
Ce JSON est à usage interne — contrairement au Markdown et au llms.txt, il n’est pas destiné à être téléversé sur votre site. Conservez-le comme référence pour suivre l’évolution de votre score, partagez-le avec votre équipe de développement ou intégrez-le dans votre pipeline CI/CD.
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