Perfect memory of a thousand episodes.

Context

A large TV production company making long-running serial drama was losing the thread of its own universe. Past a thousand episodes, managing characters, locations and plot threads outgrew anything manual archive search could support.

Problem

Screenwriters and script editors burned time on manual archive searches every time a relationship, a location or a past event needed checking. The risk of plotholes, and the cost of late production fixes, kept rising. New screenwriters needed weeks before they could navigate the universe with confidence.

Solution

We built a graph-based scenario-mapping system. Every character, location and plot thread became a node. Relationships between them ("knows", "was married to", "was last seen with") were extracted from scripts and kept current as new scripts came in. A natural-language interface let the team ask continuity questions directly.

Implementation

We seeded the system with the existing script archive. The pipeline parses scripts automatically, extracts entities and relationships, and builds the universe graph. The screenwriting team got an interface for fast relationship queries. New scripts feed in incrementally.

Outcome

Manual archive search effectively ended. Fact-verification time dropped sharply, and that translated directly into production cost savings. New writers came up to speed in days, not weeks. The graph itself became an asset for the franchise, used in the development of spin-offs and adjacent productions.