Through this session, explore the integrated workflow: NotebookLM for uploading/organizing sources into interactive notebooks with summaries, FAQs, and audio podcasts; then Claude for querying exports to generate insights, cross-comparisons, hypotheses, and artifacts like matrices, optimized for US academic/professional research like lit reviews or policy briefs, emphasizing verification and ethical attribution.
Learn the combined pipeline to ingest 100+ sources into NotebookLM for grounded insights, then feed to Claude for hypothesis testing and narrative crafting, ideal for PhD comps, market analyses, or policy papers in US grad/professional settings.
Drowning in disorganized notes and hallucinated AI summaries while competitors produce airtight research briefs? As 2026 funding favors data-rigorous proposals and tools like these become hiring litmus tests, solo manual methods risk flawed insights, rejected grants, and stalled careers in academia's source-saturated arena.
Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)