// Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts.
Accesses real-time spatial data, weather, and traffic routing to design accurate itineraries.
Performs a strict evaluation of a video asset using Google's official 'ABCD' framework (Attract, Brand, Connect, Direct) based on transcript and metadata.
Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.
Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.
Saves time by autonomously reading transcripts, synthesizing arguments, and generating direct jump-links to key moments.
Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels.
| name | daily-briefing |
| description | Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts. |
Objective: Provide a highly relevant, high-signal briefing on events happening in a specific location within a specific timeframe (e.g., "the past 24 hours in Hong Kong"), backed by primary video sources.
Execution Steps:
get_current_date_time and get_date_range (or calculate it yourself if the user asks for exactly 24 hours) to determine the exact RFC 3339 timestamp for the cutoff.search_youtube to find news or vlogs about the location.
published_after. Pass the relevant country code to region_code (e.g., 'HK' for Hong Kong). If appropriate, filter by relevance_language.get_video_details and calculate_engagement_metrics to fetch the views and engagement stats for these breaking videos.
get_video_transcript on the top 2-3 news clips to "read" the actual news story. Do not rely solely on clickbait titles.Next Actions: Ask the user if they want to dive deeper into any specific news story by pulling its comments/sentiment, or if they want to publish the briefing as an HTML report.