What is the primary function of the automated pipeline described in the transcript?	It converts single-language, login-protected video courses into durable, multilingual, searchable, and listenable static study websites.
How many distinct stages does the material pass through from raw input to finished page?	Eight stages.
What specific feature does Stage 2 (Transcribe) add to the speech recognition output?	It generates a time-stamped transcript where every phrase is pinned to a precise moment on the video timeline.
Why does Stage 3 (Summarise) rewrite the raw transcript instead of using it verbatim?	To transform exhausting, unstructured speech into clean, logically organized study notes optimized for revision.
What is a critical design requirement for the quiz questions generated in Stage 4?	They must test core concepts and stand completely on their own, containing zero references to the original speaker or video.
How does the translation stage handle proper nouns and missing language support?	Brand names remain unchanged, while missing translations automatically fall back to English instead of leaving blank spaces.
What functionality enables the "karaoke for studying" effect in Stage 6?	A synchronized timing file that highlights each matching word on the webpage as the cloned voice speaks it.
What architectural decision in Stage 7 eliminates the need for databases or server-side code?	Rendering all content as plain, fast-loading static files that can be hosted anywhere.
Which data tier in Stage 8 is kept entirely offline to protect source material and privacy?	The masters tier, which contains the original transcripts, lossless audio, and source notes.
Why does the pipeline enforce a modular design where each stage performs only one task?	To prevent cascading failures across stages and allow any single station to be re-run independently without rebuilding the entire course.