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Analyzed URL

https://bild.systems

Measured 2 days ago

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AI-Ready Score

Good

out of 100

Token Savings

HTML tokens 20.346
Markdown tokens 395
Savings 98%

Score Breakdown

Accessibility 81/100
AI Discoverability 86/100
Structured Data 100/100
Semantic HTML 97/100
Content Efficiency 65/100

Emerging protocols

0 of 6 detected

Well-known endpoints AI agents look for. Detected here means an agent can discover and connect to your service automatically.

  • 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

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What we measured Main content starts at 77% of HTML

The main content appears late in the HTML document. AI agents may give more weight to content that appears early.

How to implement

Restructure your HTML so that <main> or <article> content appears before sidebars and supplementary content.

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What we measured Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)

Your page has a low ratio of actual content to total HTML. Much of the page weight is markup, scripts, or styles rather than content.

How to implement

Move CSS to external stylesheets, remove inline styles, minimize JavaScript, and ensure the HTML focuses on content structure.

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What we measured CDN level (Cloudflare) — Content negotiation

Your site doesn't support Markdown for Agents. This Cloudflare standard lets AI agents request content in markdown format, reducing token usage by ~80%.

How to implement

Implement one or more: (1) Respond to Accept: text/markdown with markdown content. (2) Serve .md URLs (e.g., /page.md). (3) Add <link rel="alternate" type="text/markdown"> tags. (4) Add Link HTTP headers for markdown discovery.

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What we measured 9/258 elements with inline styles (3.5%)

Many elements have inline style attributes. These add noise for AI agents extracting content.

How to implement

Move all inline styles to CSS classes in your stylesheet. Use utility CSS frameworks like Tailwind if you need many unique styles.

Paste into a coding agent to make the fix
Markdown tokens: 395
## We build the systems that do the busywork, so people can do the good work.

Automation, made human.

![](https://bild.systems/images/generated-1787108917091-800.webp)

![](https://bild.systems/images/generated-1787108914883-800.webp)

![](https://bild.systems/images/generated-1787108913991-800.webp)

![](https://bild.systems/images/generated-1787108914313-800.webp)

![](https://bild.systems/images/generated-1787109071047-800.webp)

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.

![](https://bild.systems/images/generated-1787108917091-800.webp)

![](https://bild.systems/images/generated-1787108914883-800.webp)

![](https://bild.systems/images/generated-1787108913991-800.webp)

![](https://bild.systems/images/generated-1787108914313-800.webp)

![](https://bild.systems/images/generated-1787109071047-800.webp)

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)

Upload this file as /index.md on your server so AI agents can access a clean version of your page. You can also configure Accept: text/markdown content negotiation to serve it automatically.

Our recommendation

Download llms.txt
# 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)

Full llms.txt requires domain-wide analysis (coming soon)

Upload this file to https://bild.systems/llms.txt at the root of your domain. AI agents like ChatGPT, Claude, and Perplexity check this file to understand your site structure.

This site already has a llms.txt file.

Valid format
# 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)

Accessibility

Content available without JavaScript (100/100)

Content available without JavaScript

Content appears early in HTML (25/100)

Main content starts at 77% of HTML

Reasonable page size (100/100)

Page size: 63KB

AI Discoverability

Robots.txt allows AI bots (100/100)

All major AI search bots allowed

Markdown for Agents support (40/100) Cloudflare CDN
&#10003; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Has sitemap.xml (100/100)

Sitemap found

Has robots.txt file (100/100)

robots.txt exists

Has llms.txt file (100/100)

llms.txt exists and is valid

Has Content-Signal (robots.txt or HTTP headers) (80/100)
&#10003; robots.txt &#10007; HTTP header &#10003; Policy

Structured Data

Has Schema.org / JSON-LD (100/100)

JSON-LD found: Organization, WebSite

Has Open Graph tags (100/100)

All OG tags present

Has meta description (100/100)

Meta description: 120 chars

Has canonical URL (100/100)

Canonical URL present

Has lang attribute (100/100)

lang="en-AU"

Semantic HTML

Proper heading hierarchy (100/100)

Clean heading hierarchy

Uses article or main element (100/100)

Has both <article> and <main>

Uses semantic HTML elements (87/100)

21 semantic elements, 59 divs (ratio: 26%)

Meaningful image alt texts (100/100)

No informative images (5 decorative)

Low div nesting depth (100/100)

Avg div depth: 1.3, max: 3

Content Efficiency

Good token reduction ratio (100/100)

98% token reduction (HTML→Markdown)

Good content-to-noise ratio (0/100)

Content ratio: 4.5% (2887 content chars / 64757 HTML bytes)

Reasonable page weight (100/100)

HTML size: 63KB

Minimal inline styles (50/100)

9/258 elements with inline styles (3.5%)

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      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 0.5,
      "maxImpact": 1,
      "evidence": "speculative",
      "checkScore": 50,
      "checkDetails": "9/258 elements with inline styles (3.5%)"
    }
  ],
  "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\">"
        }
      ]
    }
  ]
}

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