The client is a mid-size streaming and entertainment studio releasing dozens of original titles per year, with a lean 12-person editorial team responsible for every piece of supporting content — from episode summaries to social copy to multilingual marketing assets. However, they faced significant hurdles:
- Content Volume Overload: A 12-person editorial team could not keep pace with show notes, synopses, and social copy needed for hundreds of titles per year.
- Inconsistent Brand Voice: A rotating pool of freelance writers produced copy in wildly different tones, diluting the studio's brand identity.
- Slow Localization: Translating marketing copy into additional languages for international launches took weeks per title, often missing release windows.
- No Reusable Workflow: Every new content type — trailers, press kits, subtitles — required a bespoke, one-off production process.
Varcio built a content generation pipeline around Vertex AI and Gemini, designed from the start to keep a human editor in control of anything that shipped publicly:
- Vertex AI Agent Builder: Orchestrated multi-step content workflows — synopsis, then social captions, then subtitle-ready summaries — as reusable agents instead of one-off scripts.
- Gemini 3.5 Pro: Generated first-draft scripts, show notes, and marketing copy grounded in each title's metadata, cast information, and tone guidelines.
- Grounding with Vertex AI Search: Fed the studio's brand style guide and library of previously approved copy into the model's context window to keep tone consistent across writers and titles.
- Human-in-the-Loop Review Queue: Editors reviewed and edited AI-generated drafts in a lightweight approval interface rather than starting every piece from a blank page.
- Automated Localization: Gemini translated approved copy into eight languages using a glossary-aware prompt template that preserved franchise-specific terminology and character names.
Content Turnaround Time (Days)
Cataloging the studio's brand voice guidelines and a library of best-performing past copy to ground the model.
Building and testing the Vertex AI agents for each content type, from synopsis generation through localization.
Piloting the show-notes workflow with three editors before expanding to other content types.
Expanding to scripts, social copy, and localization workflows across the entire content catalog.
First-draft production time for show notes, scripts, and marketing copy dropped by 70%. The editorial team now handles roughly 3x their previous content throughput without adding headcount, and freelance writer spend was redirected toward higher-value creative work instead of routine copy production.
Localization time fell from weeks to days per title, letting international launches align with the studio's global release calendar for the first time. Internal brand-voice audits also showed a measurable improvement in tone consistency once every draft was grounded in the same style guide.
"Our editors used to spend their time writing first drafts from scratch. Now they spend it making good drafts great — the AI does the blank-page problem for us."
