Qelv

A prototype we built for a trade-intelligence publisher. September to December 2025.

Company figures collected and drafted into articles, with a review step

A trade-intelligence publisher wanted to know whether the reporting its desk does by hand could start from an automated pass over company websites. The n8n workflow collects the figures, drafts the article and stops at a review step, on the platform the team already runs.

Trade publishing. Automate and Data.

  • Company websites
  • Figure collection
  • Article drafting
  • Review step
  • n8n workflow
The parts of the system.

Screens from this system are being added.

The situation

The publisher wanted an agentic AI use case that answered a business need rather than a technology demonstration: could the reporting its desk does by hand start from an automated pass over company websites? The prototype was built and shown live on the platform the team already operates, so the answer was a workflow they could run rather than a proposal.

What we built

  • A collection step over company websites, returning the financial figures the desk actually uses
  • A drafting step that turns the collected figures into an article draft with the numbers in the right places
  • A review point between the two, because the draft is a first pass and the desk still owns what goes out
  • The whole workflow on n8n, the platform the team already operates, rather than as code only we could run
  • A live demonstration to the publisher's team in December 2025, following a use-case discussion in September

What changed

The publisher's team watched the workflow run live on its own n8n in December 2025. The answer to its question was a workflow it could run rather than a proposal.

Read next

Where to next

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