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45
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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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Agentic Signals

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ai-plugin.json
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OpenAPI Spec
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Structured API
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Schema.org Markup
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MCP Server
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Agentic Ready 45/100

            

llms.txt Content

Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # UAB Skybiometry: AI factory and Infrastructure Engineering ## Sitemaps [XML Sitemap](https://skybiometry.com/sitemap_index.xml): Includes all crawlable and indexable pages. ## Posts - [US Hyperscale vs. EU Private Cloud: why centralisation doesn’t work for European Data Sovereignty](https://skybiometry.com/us-hyperscale-vs-eu-private-cloud/): The familiar case for an EU private cloud, in contrast to a US-based hyperscaler, is jurisdictional, and it is a very strong one: Under the CLOUD Act, a US-based provider can be legally compelled to deliver the data whatever its storage location. We detail that argument at length in our article about the sovereign AI mandate. - [What Is Model Drift and how do you catch it before it costs you?](https://skybiometry.com/what-is-model-drift/): Just because something works when you put it live doesn't mean it stays true. The world that the model learned has evolved and the only question is whether you spot it before your customers do. - [Build AI In-House or Bring in a Partner? What the Numbers Say](https://skybiometry.com/build-ai-in-house-or-bring-in-a-partner/): The AI development industry is now so saturated with vendors that buyers no longer have time to vet everyone. The same capabilities are offered by all firms, and the lists ranking them are almost exclusively written by those same firms. The actual differentiators, the ones that matter, are the ones your vendor's sales pitch has been designed to avoid telling you. Getting a bad one wrong is more than just an IT procurement mistake. - [InfiniBand vs Ethernet for AI Clusters: when does it matter?](https://skybiometry.com/infiniband-vs-ethernet-for-ai-clusters/): A big model takes dozens or hundreds of GPUs to train, and they have to remain perfectly synced as they work. At the end of every training iteration, they have to pass gradients and pa