Social Intel
Structured operational intelligence
Social Intel syncs creator or brand content into Trailcore, stores it as durable entities, and runs agent pipelines that extract hooks, beats, sentiment, and future content opportunities.
Social Intel Engine
Content repurposing and listening
Comments keep asking how the first distribution hook was tested before publishing.
Break down the testing process behind opening hooks and title choices in one follow-up video.
Entity-backed outputs
This vertical runs on durable entities and stage-specific items. Each output stays reusable for later agents, reviews, and operational actions instead of disappearing into one giant prompt response.
Video Analyzer
Summarizes synced video metadata and recommends the next action.
Video Hook & Beat Finder
Builds a timestamped beat sheet with the strongest hook and three standout moments.
Sentiment & FAQ Miner
Reads comments for emotional signals, recurring questions, and content gaps.
Where this vertical lands
Purpose-built workflows on top of the same Magictrail runtime.
Repurposing engine
Turn one long-form video into short-form hooks, takeaways, and downstream content seeds.
Audience listening
Use comments as structured feedback to uncover recurring questions and unmet curiosity.
Content planning
Feed creative strategy with reusable beats, FAQ themes, and emerging topics from live content.
Governed by shared platform rules
Vertical logic stays specific, but execution still runs through the same platform guard rails. That keeps state interpretable, chaining controlled, and downstream actions reviewable.
Run this vertical inside Magictrail
Open the platform and work from the same entity-backed runtime described here.