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Description
Each podcast episode contains many references — tools, techniques, books, people, papers, frameworks, and other resources. Right now, these mentions exist only inside the transcripts and are not surfaced anywhere on the website.
This task is to build a system that automatically extracts all mentioned resources using AI and adds them to the podcast page in a structured section (e.g., "Resources Mentioned").
The system should read the transcript, identify all relevant entities, normalize their names, and produce a clean list of links or references. The output will then be added to the front matter or directly injected into the episode page template.
The result improves navigation, keeps users on the website longer, strengthens internal linking, and makes each episode more useful as a standalone learning resource.