In this episode we connect NotebookLM to Claude Code and fix NotebookLM's two big gaps: no computation layer and no clean data export. We walk through the five-stage build — install the skill, bulk-ingest sources, export transcripts, vectorize to Pinecone plus numeric data to Supabase, and ship a live Lovable app wired through OpenRouter — then share the pragmatic lessons from running this in production.

Read the full guide: https://popularaitools.ai/blog/notebooklm-to-app-claude-code-2026

Try NotebookLM: https://notebooklm.google

Browse AI automation tools: https://popularaitools.ai/tools?category=ai-automation