What problem does it solve?
Blog post and long-form article writing becomes slow and inconsistent when you cannot reliably convert a brief, a structured writer specification, and supporting research into a complete piece in a specific voice with verifiable evidence.
Core Features & Use Cases
- Structured long-form production: Turns a content brief, writer spec, and research findings into a full article that follows the required section order and targets the specified word-count range.
- Evidence-to-section mapping: Selects specific stats, named sources, case studies, and quotes from the research file and inserts them into the correct spec INSERT placeholders without inventing details.
- Voice and formatting constraints: Applies non-negotiable opening rules, bans specific terms, enforces hyphen-only punctuation (no en-dash or em-dash), and removes AI-tells via a rewrite pass.
- Quality control before output: Performs a QC checklist to verify constraints (openings, banned terms, dash style), research usage integrity, and adherence to the spec structure.
Use case: Produce a magazine-style feature or newsletter draft from a thesis brief, a section-by-section writer spec (including what to include or exclude), and a research pack with cited evidence.
Quick Start
Ask the AI to write the article by providing the three required file paths for the Brief, Writer spec, and Research, and it will generate the complete markdown article in the specified voice.
