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URL analisado

https://problemcockpit.com/

Medido há 47 minutos

Analisar outro URL

Pontuação AI-Ready

Bom

de 100

Poupança de tokens

Tokens HTML 10.138
Tokens Markdown 360
Poupança 96%

Desdobramento da pontuação

Acessibilidade 100/100
Descobribilidade IA 60/100
Dados Estruturados 100/100
HTML Semântico 94/100
Eficiência de conteúdo 70/100

Protocolos emergentes

0 de 6 detetados

Endpoints well-known que os agentes de IA procuram. Detetado significa que um agente pode descobrir e conectar-se automaticamente ao seu serviço.

  • 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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O que medimos No Markdown for Agents support detected

O seu site não suporta Markdown for Agents. Este padrão Cloudflare permite que agentes de IA solicitem conteúdo em formato markdown, reduzindo o uso de tokens em ~80%.

Como implementar

Implemente um ou mais: (1) Responder a Accept: text/markdown com conteúdo markdown. (2) Servir URLs .md (ex: /pagina.md). (3) Adicionar tags <link rel="alternate" type="text/markdown">. (4) Adicionar cabeçalhos HTTP Link para descoberta markdown.

Cole num agente de código para fazer a correção

O que medimos Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

A sua página tem um baixo rácio de conteúdo real em relação ao HTML total. Grande parte do peso da página é markup, scripts ou estilos em vez de conteúdo.

Como implementar

Mova CSS para folhas de estilo externas, remova estilos inline, minimize JavaScript e garanta que o HTML se foca na estrutura do conteúdo.

Cole num agente de código para fazer a correção

O que medimos No llms.txt found

O seu site não tem um ficheiro llms.txt. Este é o padrão emergente para ajudar agentes de IA a compreender a estrutura do seu site.

Como implementar

Crie um ficheiro /llms.txt seguindo a especificação llmstxt.org. Inclua uma descrição do site e links para as suas páginas principais.

Cole num agente de código para fazer a correção

O que medimos No Content-Signal found (robots.txt or HTTP headers)

Nenhuma diretiva Content-Signal encontrada. Estas indicam aos agentes de IA como podem usar o seu conteúdo (indexação, entrada IA, dados de treino). A localização recomendada é robots.txt.

Como implementar

Adicione Content-Signal ao seu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Também pode adicioná-lo como cabeçalho HTTP em respostas markdown.

Cole num agente de código para fazer a correção
Tokens Markdown: 360
## Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

3 problems solved free. Then $49/month.

## How it works

1

### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2

### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3

### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4

### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

Start with the problem that keeps coming back.
Problem.Cockpit — Stop Solving the Wrong Problem

[Skip to content](https://problemcockpit.com/#main-content)

[Problem.Cockpit

](https://problemcockpit.com/)

[Sign Up](https://problemcockpit.com/sign-up)

# Most problem-solving starts too late.

A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)

3 problems solved free. Then $49/month.

## How it works

1### Name what's wrong

Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.

2### Surface your assumptions

The structure finds what you're taking for granted. Hypotheses are tested, not accepted.

3### Reach the physics

Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.

4### Choose a path forward

Fork paths from the real problem, sorted from quick wins to structural change.

See how it works

## Layer 00: Intake

We keep missing deadlines despite accurate estimates. Happens across teams.

Next

## Find the real problem.

For one person

3 problems solved free

then $49/month

-   \--7-stage structured process, not open-ended chat
-   \--Surfaces your assumptions and strikes through what doesn't hold
-   \--Fork paths sorted from quick wins to structural change
-   \--Start even when you can't articulate the problem yet

[Start Free](https://problemcockpit.com/sign-up)

For a whole team

5 seats, one shared history

$99/month. Add seats as you grow.

-   \--The same 7 stages, for everyone on the team
-   \--The whole team reads every session by default
-   \--Only the owner can change billing
-   \--Weeks later, see which decisions actually held up

[Start a Team](https://problemcockpit.com/team)

Start with the problem that keeps coming back.

Carregue este ficheiro como /index.md no seu servidor para que os agentes de IA possam aceder a uma versão limpa da sua página. Também pode configurar a negociação de conteúdo Accept: text/markdown para o servir automaticamente.

llms.txt gerado para esta página individual

Descarregar llms.txt
# Problem.Cockpit

> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.

## Main
- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…
- [Gallery](https://problemcockpit.com/gallery)
- [Sign In](https://problemcockpit.com/sign-in)
- [Sign Up](https://problemcockpit.com/sign-up)

## Blog
- [Blog](https://problemcockpit.com/blog)

## Legal
- [Terms](https://problemcockpit.com/terms)
- [Privacy](https://problemcockpit.com/privacy)

O llms.txt completo requer análise de todo o domínio (em breve)

Carregue este ficheiro como https://problemcockpit.com/llms.txt na raiz do seu domínio. Agentes de IA como ChatGPT, Claude e Perplexity verificam este ficheiro para compreender a estrutura do seu site.

Acessibilidade

Conteúdo disponível sem JavaScript (100/100)

Content available without JavaScript

Conteúdo aparece cedo no HTML (100/100)

Main content starts at 18% of HTML

Tamanho de página razoável (100/100)

Page size: 35KB

Descobribilidade IA

robots.txt permite bots de IA (100/100)

All major AI search bots allowed

Suporte a Markdown for Agents (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
Tem sitemap.xml (100/100)

Sitemap found

Tem ficheiro robots.txt (100/100)

robots.txt exists

Tem ficheiro llms.txt (0/100)

No llms.txt found

Tem Content-Signal (robots.txt ou cabeçalhos HTTP) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Dados Estruturados

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

JSON-LD found: Organization, WebSite

Tem tags Open Graph (100/100)

All OG tags present

Tem meta descrição (100/100)

Meta description: 159 chars

Tem URL canónico (100/100)

Canonical URL present

Tem atributo lang (100/100)

lang="en"

HTML Semântico

Hierarquia de títulos correta (100/100)

Clean heading hierarchy

Utiliza elemento article ou main (100/100)

Has <main>

Utiliza elementos HTML semânticos (68/100)

8 semantic elements, 31 divs (ratio: 21%)

Textos alt de imagens descritivos (100/100)

No images found

Baixa profundidade de aninhamento de div (100/100)

Avg div depth: 3.3, max: 6

Eficiência de conteúdo

Bom rácio de redução de tokens (100/100)

96% token reduction (HTML→Markdown)

Bom rácio conteúdo-ruído (0/100)

Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)

Peso de página razoável (100/100)

HTML size: 35KB

Estilos inline mínimos (100/100)

1/162 elements with inline styles (0.6%)

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      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "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\">"
        }
      ]
    }
  ]
}

Use a nossa API para obter isto programaticamente (em breve)

Este JSON é para uso interno — ao contrário dos ficheiros Markdown e llms.txt, não se destina a ser carregado no seu site. Guarde-o como referência para acompanhar a sua pontuação ao longo do tempo, partilhe-o com a sua equipa de desenvolvimento ou integre-o no seu pipeline CI/CD.

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