Research the article before asking AI to write it.
QueueWrite separates research from generation. It gathers subject sources and combines them with the publication’s own context, so the draft begins from inspectable material rather than a title and a hope.
Give the draft something real to work from.
A title alone leaves the model to fill gaps from its general knowledge. QueueWrite runs research first and keeps the source material attached to the article, making the basis of the draft visible to the person reviewing it. Research the web. Go deeper with academic research when it matters.
- Collect relevant web sources
- Optionally add Academic Research via Consensus for stronger evidence
- Inspect source context with the article
- Separate evidence gathering from prose generation
- Refresh research when the subject requires it
Add what the open web cannot know.
Each project can carry its audience, tone, article defaults, editorial standards and website knowledge. QueueWrite combines that publication context with article research so a useful draft is grounded in both the subject and the business behind it.
- Reusable project profiles
- Audience and tone guidance
- Website knowledge from the publication
- Consistent standards across a queue
Keep the evidence close when editing.
Research does not remove editorial judgment. It gives editors a clearer starting point. Web and academic sources, draft content and validation findings remain part of the same workflow, and focused repair can address the issues found without starting again.
- Sources available during review
- Validation before approval
- Targeted repair from review findings
- Complete revised article returned to the workspace
For teams that need more than fluent copy.
Content managers
Give editors a visible research basis and a consistent project brief before they assess a draft.
SEO professionals
Combine live subject research with knowledge of the site the article is meant to support.
Agencies
Keep distinct publication context attached to each client project instead of rebuilding prompts by hand.