LLM-ready file
A file whose metadata carries a structured, AI-readable semantic layer so language models can consume it without re-parsing.
An LLM-ready file is a document, image, audio, or video file that embeds its own structured metadata — written in a standardized format — so that downstream AI tools can understand its content without running their own parsers. Instead of an LLM downloading the file and asking "what is this?", the file itself answers: "I'm an invoice dated 2024-04-15 from Acme Corp for $500, signed by Alice."
What makes a file LLM-ready
Three elements: first, the file carries a semantic layer — a structured description of its content, entities, and provenance. Second, that layer lives inside the file itself, not in a separate sidecar database. Third, it's signed so consumers can verify the metadata hasn't been tampered with. The semantic layer is written to the file's XMP packet (Extensible Metadata Platform), a standardized container supported by image, video, PDF, and audio formats.
Where the layer lives
The semantic metadata lives under LLMind's custom XMP namespace (https://llmind.org/ns/1.0/), organized into layers: description, entities, structure, transcription, and lineage. Each layer is independently signed using HMAC-SHA256 or ed25519, so a consumer can trust one layer without trusting all of them. Because the metadata is embedded, the file is portable — move it to any filesystem, send it via email, or store it in cloud — and the metadata travels with it, cryptographically sealed.