Methodology
Our methodology combines source monitoring, AI relevance checks, editorial framing and structured business impact fields.
We monitor selected sources and classify incoming stories by focus area, source quality, relevance and business impact. Automated scoring helps sort the flow, but the public product is designed around human-readable business context.
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.