Methodology
Our methodology combines source monitoring, AI relevance checks, editorial framing and structured business impact fields.
We monitor selected sources and use AI-assisted tools to classify, summarize and structure incoming stories by focus area, source quality, relevance and business impact. Some briefings can move through automatic publication when configured quality checks pass; editorial controls remain available for review, correction and removal.
Stories should have a direct AI connection: models, agents, infrastructure, deployment, regulation, security, automation, chips, data centers, implementation patterns or market adoption. Generic consumer tech, discounts and gadget stories are filtered away from public SEO surfaces when they lack AI proof.
A strong briefing answers four questions: what happened, why it matters, who is affected and what to watch next. The same structure powers story pages, Telegram summaries and topic hubs.