Editorial process
SignalDesk uses automation to monitor technology signals and assist with drafting workflows. The goal is useful coverage, not volume for its own sake.
Automation may help collect candidate sources, group stories by desk, prepare draft summaries, identify related topics and keep internal publishing queues organised.
AI assistance may be used to turn source notes into clearer briefings, but the site should still prioritise verifiable facts, visible sourcing and useful context.
Automation should not invent sources, fabricate quotations, create fake first-hand experience, or present speculation as confirmed fact. If a claim cannot be checked, it should be removed or clearly framed as uncertain.
Published pages should be checked for obvious factual issues, duplicate or thin wording, broken links, stale dates and unclear attribution. Higher-risk items need stronger source support.
Readers should be able to tell what the article is based on, why it matters, and where to go if they spot a mistake. That is why SignalDesk links to sources, editorial standards, review methodology and corrections information.