What are the main considerations for designing a pipeline to enable an LLM to write episode recaps, predict plot holes, and flag continuity errors for Netflix?

1. Recognize that recapping, detecting plot holes, and identifying continuity errors are three distinct problems requiring different approaches. 2. Parse scripts into structured data to ensure better model outputs. 3. Use a summarization model for recaps, a knowledge graph for plot hole detection, and entity tracking for continuity errors. 4. Implement human review to validate outputs before production.