Human-Friendly + Machine-Friendly
OLAMIP isn’t just a technical spec, it’s a communication bridge between humans and AI. As a standard, every part of OLAMIP must be:
| Principle | Human-Friendly | Machine-Friendly |
|---|---|---|
| File Format | Easy to write, read, and validate | Strictly structured, predictable JSON |
| Field Names | Intuitive and self-explanatory | Consistent, lowercase, schema-compliant |
| Summaries | Clear, brand-aligned, non-technical language | Concise, factual, and semantically rich |
| Priority System | Simple labels: "high", "medium", "low" | Mappable to weights for training and ranking |
| Documentation | Plain-language guides, examples, visuals | JSON schemas, validator rules, integration APIs |
| Tooling | Generators, CMS plugins, onboarding wizards | CLI tools, validators, parsers, test suites |
Why This Matters
- For humans: Webmasters, marketers, and content creators must be able to adopt OLAMIP without needing deep technical expertise.
- For machines: LLMs, crawlers, and indexing systems need predictable, structured input to learn efficiently and accurately.