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AI Features

NewsTeam’s approach to AI is simple: assist, don’t replace. We design AI to augment editorial judgment, speed up routine tasks, and enrich your content’s data model—always with human-in-the-loop controls and clear auditability.


  • Editorial-first — AI suggests; editors decide. You can accept, edit, or discard any suggestion.
  • Responsible by design — Clear handoffs, versioning, and activity logs preserve authorship and accountability.
  • Data-rich outcomes — AI helps build structured, reusable content (entities, locations, language, and more), powering search, personalization, and future products.

Analyze a draft and return a structured editorial review:

  • Score summary for title, synopsis, body, Originality & SEO, and total quality
  • Body feedback with corrections and concrete suggestions
  • Originality & SEO signals grounded in recent web research
  • Similarity risks where the angle appears close to common coverage
  • Source opportunities with facts, sources, or angles that would improve the piece
  • Additional insights with specific missing context to add

The analysis flow can run grounded web research, attach source links, and then keep a follow-up conversation open so editors can ask for rewrites, clarification, or deeper review of a specific section.

Generate or improve editorial building blocks:

  • Headlines & alternatives
  • Compelling intros
  • List-style summaries for quick takeaways
  • Social post options for distribution

Automate the time-consuming parts of enrichment—then fine-tune:

  • Keywords, tags, and social copy (synopsis, share text)
  • Language detection with ISO 639 codes
  • Mentioned Entities (people, companies, organizations, events)
  • Geo-tagging suggestions when locations are inferred from the story

Results are applied to the article’s structured metadata so content stays searchable, reusable, and consistent. See Articles → Metadata.

Create images with AI when appropriate. You can:

  • Generate an image from context (placement + surrounding content)
  • Edit or regenerate to match tone, placement, and usage
  • Keep full editorial control over what ships

Generate, refine, and update visual aids or infographic-style components from article context, instructions, or additional data. These outputs can include title, description, tags, mentioned entities, location context, and editable HTML.

Provide raw notes, a wire post, or a brief. AI will:

  • Produce a structured, publish-ready draft (with core metadata prefilled)
  • Suggest what to add next (gaps, missing voices, follow-ups)
  • Recommend widgets or visual elements to strengthen the piece
  • Add relevant non-text widgets, such as video embeds, when research surfaces useful source material

This is especially useful for turning early reporting into a solid first version.


  • Human-in-the-loop: Editors can review, accept, or modify every suggestion.
  • Provenance: All changes are captured via Revisions and the Messaging & Activity system for clear history and rationale.
  • Source visibility: Grounded analysis can return source links so editors can inspect the context behind recommendations.
  • Scoping: Bucket-level AI guidance can shape tone, locale, and editorial instructions for analysis and generation.