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| license: cc-by-4.0 | |
| tags: | |
| - code | |
| - agent | |
| - udsl | |
| - document-structure | |
| - document-schema | |
| - ai-standards | |
| - llm-framework | |
| - model-agnostic | |
| - cross-llm | |
| - prompt-engineering | |
| - reasoning-models | |
| - governance | |
| - compliance | |
| - auditability | |
| - explainability | |
| - interoperability | |
| - renmetrix | |
| - loom-protocol | |
| - structured-writing | |
| - ai-governance | |
| - ai-compliance | |
| - responsible-ai | |
| - ai-evaluation | |
| - ai-validation | |
| - document-architecture | |
| - nlp | |
| - standard | |
| pipeline_tag: "other" | |
| # UDSL v1.0 — Universal Document Structure Layer | |
| *A model-agnostic document architecture for consistent, explainable long-form AI output.* | |
| [](https://github.com/nathanlumulisanay-lgtm/udsl) | |
| [](https://doi.org/10.5281/zenodo.17625481) | |
|  | |
| --- | |
| ## What is UDSL? | |
| **UDSL (Universal Document Structure Layer)** is an AI-native, model-agnostic document framework designed to make | |
| large language models produce: | |
| - structurally consistent | |
| - explainable | |
| - auditable | |
| - human-aligned | |
| - repeatable long-form documents | |
| It works across ChatGPT, Claude, Gemini, Perplexity, and open-source models via one unified document standard. | |
| UDSL defines: | |
| - canonical outline structures | |
| - reasoning schemas (Toulmin, deductive, inductive) | |
| - tone profiles | |
| - UX writing constraints | |
| - terminology maps | |
| - compliance validation rules | |
| --- | |
| ## Why UDSL exists | |
| LLMs produce tokens — not documents — causing: | |
| - missing sections | |
| - drifting structure | |
| - inconsistent reasoning | |
| - hallucinated outlines | |
| - differences between models | |
| UDSL fixes this by enforcing one shared, explicit structure layer. | |
| --- | |
| ## Contents of v1.0 | |
| - UDSL Core Specification (PDF) | |
| - Canonical YAML + Markdown definitions | |
| - Validator toolkit (structure, reasoning, tone, terminology) | |
| - Integration profiles (ChatGPT, Claude, Gemini, Perplexity) | |
| - Example UDSL-compliant documents | |
| - Integrity scripts (checksums + ZIP builder) | |
| - Release notes + checksum file | |
| --- | |
| ## Using UDSL with any LLM | |
| Minimal invocation: | |
| ```yaml | |
| You are an AI system that MUST follow the UDSL v1.0 standard. | |
| doc_type: policy_memo | |
| tone_profile: formal_concise | |
| reasoning_mode: toulmin | |
| audience: board | |
| Follow the canonical outline from structure.yaml. | |
| Apply reasoning rules from reasoning_schemas.yaml. | |
| Do NOT invent additional sections. | |
| - Overview | |
| UDSL (Universal Document Structure Layer) is a vendor-neutral architecture designed to make large language models | |
| (ChatGPT, Claude, Gemini, Perplexity, Grok, Llama, etc.) produce: | |
| structurally consistent documents | |
| explainable reasoning | |
| auditable long-form output | |
| multi-model aligned text | |
| repeatable, reliable structure | |
| Instead of relying on ad-hoc prompting, UDSL introduces a formal specification layer with: | |
| canonical YAML structure definitions | |
| reasoning schemas (Toulmin, deductive, inductive) | |
| tone profiles | |
| UX writing constraints | |
| terminology consistency rules | |
| UDSL is not a model — it is a standard that any model can follow. | |
| # Why UDSL Exists | |
| LLMs generate tokens, not documents. | |
| This causes: | |
| structural drift | |
| missing or inconsistent sections | |
| unstable tone | |
| weak or incomplete reasoning | |
| differences between models for the same prompt | |
| UDSL solves this through a unified, enforceable, model-agnostic structure layer. | |
| Every compliant document produced by any LLM becomes: | |
| predictable | |
| traceable | |
| comparable | |
| auditable | |
| # What’s Included in UDSL v1.0 | |
| This public release contains: | |
| Specifications | |
| UDSL Core Specification (PDF) | |
| UDSL Architecture (arXiv-ready) | |
| UDSL AI Usage Directive | |
| UDSL Specification Expanded Edition | |
| Canonical Definitions | |
| Structure definitions (YAML) | |
| Reasoning modes | |
| Tone profiles | |
| UX constraints | |
| Terminology maps | |
| Validator Toolkit | |
| Compliance schema | |
| Scoring model | |
| CLI validator (udsl_validate.py) | |
| Example valid/invalid documents | |
| Integrations | |
| ChatGPT profile | |
| Claude profile | |
| Gemini profile | |
| Perplexity profile | |
| Examples | |
| Policy memo | |
| Business report | |
| Technical report | |
| Cross-LLM comparison outputs | |
| Build & Integrity Scripts | |
| ZIP builder | |
| Checksum generator | |
| Hash verification script | |
| # How to Use UDSL With Any LLM | |
| Example prompt (works in ChatGPT, Claude, Gemini, Perplexity, etc.): | |
| You are an AI system that MUST comply with the UDSL v1.0 standard. | |
| doc_type: policy_memo | |
| tone_profile: formal_concise | |
| reasoning_mode: toulmin | |
| audience: executive_board | |
| Follow the canonical structure from `structure.yaml`. | |
| Apply the reasoning rules from `reasoning_schemas.yaml`. | |
| Do NOT invent additional sections. | |
| This ensures the model produces fully structured, auditable documents. | |
| # Validator (CLI) | |
| UDSL includes a validation tool that checks: | |
| structure compliance | |
| reasoning alignment | |
| tone profile adherence | |
| UX rules | |
| terminology consistency | |
| Run validator: | |
| python validator/udsl_validate.py your_document.md | |
| Outputs a detailed JSON compliance score. | |
| # Official Links | |
| GitHub (source): | |
| https://github.com/nathanlumulisanay-lgtm/udsl | |
| Zenodo (archival release + DOI): | |
| https://doi.org/10.5281/zenodo.17625481 | |
| # Citation | |
| Lumulisanay, N. (2025). | |
| UDSL — Universal Document Structure Layer (v1.0). | |
| RenMetrix / LOOM Protocol. | |
| Zenodo. https://doi.org/10.5281/zenodo.17625481 | |
| 🏷 Recommended Tags (for discovery) | |
| udsl | |
| document-structure | |
| ai-standards | |
| model-agnostic | |
| llm-framework | |
| reasoning | |
| prompt-engineering | |
| auditability | |
| compliance | |
| governance | |
| structured-writing | |
| nlp | |
| ai-evaluation | |
| interoperability | |
| structure-de-document | |
| normes-ia | |
| cadre-llm | |
| interopérabilité | |
| gouvernance-ia | |
| conformité-ia | |
| auditabilité | |
| explicabilité | |
| estructura-de-documentos | |
| normas-ia | |
| marco-llm | |
| gobernanza-ia | |
| cumplimiento-ia | |
| auditabilidad | |
| explicabilidad | |
| interoperabilidad | |
| dokumentstruktur | |
| ki-standards | |
| llm-rahmenwerk | |
| interoperabilität | |
| governance-ki | |
| compliance-ki | |
| auditierbarkeit | |
| erklärbarkeit | |
| struttura-documentale | |
| standard-ia | |
| framework-llm | |
| governance-ia | |
| conformità-ia | |
| auditabilità | |
| interoperabilità | |
| spiegabilità | |
| estrutura-de-documentos | |
| normas-ia | |
| quadro-llm | |
| governança-ia | |
| conformidade-ia | |
| auditabilidade | |
| explicabilidade | |
| 文档结构 | |
| 人工智能标准 | |
| LLM框架 | |
| 跨模型 | |
| 治理 | |
| 合规 | |
| 可审计性 | |
| 可解释性 | |
| структура-документа | |
| стандарты-ии | |
| llm-фреймворк | |
| взаимная-совместимость | |
| управление-ии | |
| соответствие-ии | |
| аудируемость | |
| объяснимость | |
| struktur-dokumen | |
| standar-ai | |
| kerangka-llm | |
| interoperabilitas | |
| tata-kelola-ai | |
| kepatuhan-ai | |
| auditabilitas | |
| keterjelasan | |
| هيكل-الوثائق | |
| معايير-الذكاء-الاصطناعي | |
| إطار-llm | |
| قابلية-التشغيل-البيني | |
| حوكمة-ai | |
| امتثال-ai | |
| قابلية-التدقيق | |
| الشفافية | |
| --- |