The YouTube Content Discovery Bot (YTCDB) is a transformative system designed to enhance the efficiency of YouTube content collection and analysis through a sophisticated multi-agent architecture. This system autonomously evaluates video statistics, topics, and narratives, employing advanced analytics to keep users informed and drive semi-automated content discovery. Integrating the Gemini model for narrative extraction and epidemiological models for analyzing virality and dissemination supports continuous refinement of search parameters. This creates a dynamic feedback loop that ensures the discovery process remains hyper-focused and relevant to the initial search criteria. Simultaneously, automatic keyword generation expands the search field while maintaining close relevance to the original topic, enhancing the system’s ability to identify and adapt to key trends. Narrative extraction affords better sense-making and situation awareness from the content. Narrative contagion models allow policy/decision-makers to assess the effectiveness of legitimate information campaigns while prioritizing or designing focused interventions to combat misleading/misinformation narratives. Collectively, these features significantly reduce manual search time and improve the precision of content discovery, making YTCDB a pioneering solution in video search technology for researchers and practitioners.