Meet the agents behind Inspire AI Content Studio.

Answers visitor questions by recommending topics, learning paths, episodes, and guests.

Drafts and schedules LinkedIn posts derived from episode insights.

Reviews AI outputs against editorial policy, flags escalations, and blocks unsafe content.

Produces titles, descriptions, keywords, and schema for episodes and topic hubs.

Rewrites the Editor draft in response to Governance critique. Triggered when Governance disapproves or quality_score < 80; runs one revision pass, re-scores via Governance, and keeps whichever version scores higher.

Applies approved change sets to production content and refreshes caches.

Extracts topics, guests, beliefs, and decisions from transcripts and links them into the knowledge graph.

Parses episode metadata, transcribes audio, and creates initial episode records for downstream processing.

Enriches guest cards with LinkedIn snippets via Firecrawl X-ray search or PDF upload.

Mines Reddit and forums for high-signal audience questions to seed episodes.

Monitors adjacent podcasts to spot topics and guests worth pursuing.

Identifies potential podcast guests from recent public signals and prior episode gaps.

Scans arXiv, HN, and public RSS feeds for emerging AI trends worth an episode.

Routes high-signal beliefs and pending recommendations into escalations for admin review.

Critiques learning paths against current topic coverage for cohesion and positioning.

Flags stale episodes, thin metadata, and guest records that need refresh.

Reviews topic coverage vs. episode inventory and surfaces gaps as beliefs and recommendations.

Composes ordered learning paths from the episode catalogue.

Generates topic hub pages from linked episodes with a synthesized narrative.