Daily AI News Briefing

Problem

When tracking AI developments, manually searching, de-duplicating, checking freshness, and categorizing sources adds overhead. ai-new turns “today’s AI news” into an explicit workflow, reducing back-and-forth between publications.

How It Works

The skill is a news aggregation routine for engineers, not a code generator or business API client. Its core is a four-stage process:
- Collection: uses mcp__web_reader__webReader to fetch sources such as VentureBeat, TechCrunch, and The Verge, and WebSearch for date-filtered discovery.
- Filtering: prefers major releases, research progress, funding, regulation, and tool updates from the last 24–48 hours, removing duplicates and low-signal items.
- Categorization: organizes items into Major Announcements, Research & Papers, Industry & Business, Tools & Applications, and Policy & Ethics.
- Follow-up: supports deep dives, research-only views, different time ranges, and variable detail levels.

Boundaries

Output quality depends on live page readability and source availability; paywalls, fetch failures, or empty searches may cause skipped items, expanded date ranges, or noted limitations. It works best as a daily briefing entry point, not as the sole basis for compliance checks, archival news storage, or real-time market decisions.