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https://bild.systems/?aaa

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Puntuación AI-Ready

Excelente

de 100

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Tokens HTML 17.043
Tokens Markdown 395
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Accesibilidad 81/100
Visibilidad para IA 95/100
Datos estructurados 100/100
HTML semántico 97/100
Eficiencia del contenido 73/100

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Lo que medimos Main content starts at 72% of HTML

El contenido principal aparece tarde en el documento HTML. Los AI agents pueden dar más peso al contenido que aparece antes.

Cómo implementarlo

Reestructura tu HTML para que el contenido <main> o <article> aparezca antes que las barras laterales y el contenido suplementario.

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Lo que medimos Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)

Tu página tiene un bajo ratio de contenido real respecto al HTML total. Gran parte del peso de la página es marcado, scripts o estilos en lugar de contenido.

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Mueve el CSS a hojas de estilo externas, elimina los estilos en línea, minimiza el JavaScript y asegúrate de que el HTML se centre en la estructura del contenido.

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Lo que medimos 9/259 elements with inline styles (3.5%)

Muchos elementos tienen atributos de estilo en línea. Estos añaden ruido para los AI agents al extraer contenido.

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Mueve todos los estilos en línea a clases CSS en tu hoja de estilos. Usa frameworks de CSS utilitario como Tailwind si necesitas muchos estilos únicos.

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Tokens Markdown: 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)

Sube este archivo como /index.md en tu servidor para que los AI agents puedan acceder a una versión limpia de tu página. También puedes configurar la negociación de contenido Accept: text/markdown para servirlo automáticamente.

Nuestra recomendación

Descargar 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/?aaa): 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)

El llms.txt completo requiere un análisis de todo el dominio (próximamente)

Sube este archivo a https://bild.systems/llms.txt en la raíz de tu dominio. Los AI agents como ChatGPT, Claude y Perplexity consultan este archivo para comprender la estructura de tu sitio.

Este sitio ya tiene un archivo llms.txt.

Formato válido
# 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`.
- The whole site in one request: https://bild.systems/llms-full.txt (this file plus the full text of every page and field note).

## 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)

Accesibilidad

Contenido disponible sin JavaScript (100/100)

Content available without JavaScript

El contenido aparece temprano en el HTML (25/100)

Main content starts at 72% of HTML

Tamaño de página razonable (100/100)

Page size: 53KB

Visibilidad para IA

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

All major AI search bots allowed

Soporte de Markdown for Agents (85/100) Application
&#10003; Accept: text/markdown &#10003; .md URL &#10003; <link> tag &#10007; Link header
Tiene sitemap.xml (100/100)

Sitemap found

Tiene archivo robots.txt (100/100)

robots.txt exists

Tiene archivo llms.txt (100/100)

llms.txt exists and is valid

Tiene Content-Signal (robots.txt o cabeceras HTTP) (80/100)
&#10003; robots.txt &#10007; HTTP header &#10003; Policy

Datos estructurados

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

JSON-LD found: Organization, WebSite

Tiene etiquetas Open Graph (100/100)

All OG tags present

Tiene meta description (100/100)

Meta description: 120 chars

Tiene URL canónica (100/100)

Canonical URL present

Tiene atributo lang (100/100)

lang="en-AU"

HTML semántico

Jerarquía de encabezados correcta (100/100)

Clean heading hierarchy

Usa elementos article o main (100/100)

Has both <article> and <main>

Usa elementos HTML semánticos (87/100)

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

Textos alternativos descriptivos en imágenes (100/100)

No informative images (5 decorative)

Poca profundidad de anidamiento de divs (100/100)

Avg div depth: 1.3, max: 3

Eficiencia del contenido

Buen ratio de reducción de tokens (100/100)

98% token reduction (HTML→Markdown)

Buen ratio de contenido frente a ruido (25/100)

Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)

Peso de página razonable (100/100)

HTML size: 53KB

Estilos en línea mínimos (50/100)

9/259 elements with inline styles (3.5%)

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