Meet the agents behind Inspire AI Content Studio.
Every summary, topic hub, and learning path on this site was drafted by an AI agent — and reviewed by a human before it went live. Here's the team, and what they've been up to.
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How a podcast becomes knowledge
Each episode passes through this chain before anything ships to the site.
Watch the work happen
Every request an agent handles becomes a durable task with its own state, retries, checkpoints, and step-by-step trace. Here are the most recent ones.
No tasks have run yet.
The full team
19 agents. Click any card to see what they do and what they've made.
Distributes content to LinkedIn
LinkedIn Agent
Drafts and schedules LinkedIn posts derived from episode insights.
Enforces quality and policy rules
Governance Agent
Reviews AI outputs against editorial policy, flags escalations, and blocks unsafe content.
Generates SEO metadata and optimizes discoverability
SEO Agent
Produces titles, descriptions, keywords, and schema for episodes and topic hubs.
Publishes finalized content to the live site
Site Editor
Applies approved change sets to production content and refreshes caches.
Structures raw episode content into knowledge graph
Content Architect
Extracts topics, guests, beliefs, and decisions from transcripts and links them into the knowledge graph.
Ingests new podcast episodes from RSS feeds
Intake Agent
Parses episode metadata, transcribes audio, and creates initial episode records for downstream processing.
Reflection
Editor Revision Agent
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.
Curation agent
Topic Hub Curator
Generates topic hub pages from linked episodes with a synthesized narrative.
Conversational agent
Concierge
Answers visitor questions by recommending topics, learning paths, episodes, and guests.
Tool agent
Guest Bios
Enriches guest cards with LinkedIn snippets via Firecrawl X-ray search or PDF upload.
Observability sub-agent
Escalation Router
Routes high-signal beliefs and pending recommendations into escalations for admin review.
Observability sub-agent
Positioning Critic
Critiques learning paths against current topic coverage for cohesion and positioning.
Observability sub-agent
Freshness Auditor
Flags stale episodes, thin metadata, and guest records that need refresh.
Observability sub-agent
Coverage Analyst
Reviews topic coverage vs. episode inventory and surfaces gaps as beliefs and recommendations.
Prospecting agent
Question Miner
Mines Reddit and forums for high-signal audience questions to seed episodes.
Prospecting agent
Competitive Podcast Watcher
Monitors adjacent podcasts to spot topics and guests worth pursuing.
Prospecting agent
Guest Prospector
Identifies potential podcast guests from recent public signals and prior episode gaps.
Prospecting agent
Trend Scout
Scans arXiv, HN, and public RSS feeds for emerging AI trends worth an episode.
Curation agent
Learning Path Composer
Composes ordered learning paths from the episode catalogue.
Why you can trust what you read
Every claim cites a source
Summaries, topics, and learning paths trace back to a specific podcast episode.
A human reviews every publish
96 human approvals on record — nothing goes live without one.
Governance scores every draft
A dedicated Governance agent scores quality and flags risks before human review.
Full activity log
Every agent run is logged and timestamped — no black box.