In my app I built an agent to extract my positioning and offer ladder. I upload my knowledge documents, they are stored safely on cloud storage. A cloud task picks them up to send to vertex who extract the vectors an put it in a postgress datastore on cloud run. Then I aks the agent to create my positioning and offer ladder. It uses researcher, writer, evaluator to create my ideal positioning and offer ladder. Pretty impressed with the quality of results it gives.I probably could have used Notebook LLM for this as well, but I don’t Want to push all my IP and client notes (confidentiality) to public LLM. Now it is in private storage.

One of the projects I've been working on is creating a dedicated NotebookLM knowledge vault from all of the trainings I've taken from a single instructor. Between image generation, video creation, marketing, AI workflows, and automation, I realized I was constantly trying to remember which training covered what. So I started loading everything into one NotebookLM notebook. So far it's about 38 trainings (and growing). The interesting part isn't just having the content in one place. It's being able to ask questions across all of the trainings at once: - "What has [Instructor] taught about creating better prompts?" - "Where do their image-generation strategies overlap with their video workflow training?" - "What concepts show up repeatedly across multiple courses?" It's becoming less of a training library and more of a searchable mentor that helps me connect ideas across courses. Has anyone else built a NotebookLM vault around a specific instructor, topic, or skill set? I'd love to hear how you're organizing it.

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Claude is not officially available in my country yet. I can access Claude.ai Chat using a VPN, but Claude Cowork does not open even when I use a VPN. Has anyone faced this and how he solved it if any?