ArchustA source-grounded workflow makes AI-assisted publishing easier to review and improve.
01
Start with the context your team already owns
The fastest way to make an AI draft useful is to give it the same source material an editor would use. Product documentation, brand rules, customer language, and approved claims should be available before generation begins.
A knowledge base turns that source set into reusable context. It also gives reviewers a clear path back to the evidence when a sentence needs to be checked.
02
Add live research when the brief needs it
Internal documents explain what a company knows. Web research adds current market context, competitor movement, and outside evidence. The two inputs answer different questions and should remain visible in the same brief.
Keeping source titles, URLs, and excerpts attached to the research step makes the eventual draft easier to fact-check and update.
- Define the question and audience before searching.
- Keep the source catalog with the brief.
- Flag thin evidence instead of filling gaps with confident guesses.
03
Keep editorial judgment in the loop
Automation should remove repetitive handoffs, not remove responsibility. A clear review queue lets editors adjust the angle, inspect citations, and approve the version that represents the business accurately.
Once the workflow is trusted, scheduling and publisher integrations can move approved work forward while preserving the review boundary.