AI Automation for Media & Entertainment
Content scheduling, metadata tagging, audience engagement, and rights management workflows that let your creative team focus on content — not operations.
Featured Case Study
How a Digital Publisher Reclaimed 85% of Editor Moderation Time
with an AI Comment Moderation Agent
Inside the Disqus-integrated Claude 3.5 rollout that gave a 50M-pageview publisher their editorial team back — without turning the comments off.
Comment moderation isn't just policing — it's protecting both the community and the newsroom. For a digital media publisher serving roughly 50M monthly pageviews, the comment thread had become a tax on the editorial team. Four senior editors were spending 3–4 hours every day reviewing 12,000 comments against a 12-page community policy. The team was burned out, response time on flagged comments stretched to 18+ hours, and leadership was facing pressure to turn comments off entirely.
"Our editors got their day back. They're producing more articles, the community feels safer, and the few cases that still need human judgement get our full attention. We don't even discuss turning off comments anymore."
We deployed an AI Comment Moderation Agent — not to replace editorial judgement, but to triage at scale so editors could apply it where it matters. Built with Claude 3.5 Sonnet, fine-tuned on the publisher's community policy and prior moderator decisions, and connected to Disqus, the agent classifies every incoming comment in real time, catches harassment and hate speech using contextual understanding rather than keyword filters, and tracks recurring offenders with graduated responses.
With the AI handling the routine triage — and quietly surfacing only the genuinely ambiguous cases for editor sign-off, plus a weekly insights report on comment trends and policy gaps — the editorial team could finally close the moderation queue and get back to producing the journalism the audience came for in the first place.
Client identity protected by NDA. Results from a representative engagement; outcomes vary by client context, data quality, and implementation scope.
Content Scheduling Automation
Automatically schedule and publish content across platforms — website, social media, newsletter — based on editorial calendar rules and audience analytics.
AI Metadata & Tagging
Automatically generate titles, descriptions, tags, and SEO metadata for articles, videos, and podcasts — saving hours of manual labelling work per piece.
Audience Engagement Agent
AI agents respond to comments, DMs, and community questions across social platforms — building engagement while your team sleeps.
Newsletter & Email Automation
AI-curated newsletters personalized to subscriber interests — automatically assembled from your content library and sent on schedule.
Content Repurposing Pipelines
Automatically repurpose long-form content into social clips, blog summaries, newsletter snippets, and podcast show notes — multiplying output without extra work.
Audience Analytics Reporting
Weekly performance reports across all platforms — views, engagement, subscriber growth — automatically compiled and delivered to your editorial team.
Publish More, Stress Less
Let AI handle the operational side of content while your creative team focuses on ideas that move your audience.