What problem does it solve? Technical documentation is often written only for humans, forcing AI models to parse long narrative prose and guess which facts are authoritative. HADS solves this by structuring Markdown docs into typed blocks ([SPEC], [NOTE], [BUG], [?]) with an AI reading manifest, so both humans and AI models consume the same document efficiently. ## Core Features & Use Cases - HADS Generation: Write new documentation with the required header, version declaration, AI manifest, and typed content blocks. - Format Conversion: Restructure existing READMEs or docs into HADS by extracting facts into [SPEC], moving narrative to [NOTE], and surfacing known issues as [BUG]. - Validation: Check documents against HADS rules such as H1 title, version in the first 20 lines, manifest placement, bold block tags, and complete BUG blocks. - Use Case: A team maintaining an API reference converts it to HADS so that AI coding assistants read only the [SPEC] and [BUG] blocks, reducing token usage and preventing hallucinated answers. ## Quick Start Ask the AI to convert your existing README or API documentation into HADS format with an AI reading manifest and typed content blocks.