Research & monitoring

Build a NotebookLM + Obsidian research vault

Claude Code sends a pile of videos, PDFs and articles through NotebookLM and turns the output into linked Obsidian notes covering scenarios, actors and probabilities.

  • Level Intermediate
  • Setup1–3 hrs (estimated)
  • Evidence Some evidence
  • CostNot stated in source
  • No-codeNo

What this is

A real workflow someone ran with an AI agent. Copy the prompt into your agent, connect the listed tools, and it runs for you.

  1. Copy the prompt below.
  2. Paste it into your agent (we recommend Grok Bot) and connect the tools listed: NotebookLM MCP, Obsidian.
  3. Run it once, check the result, then put it on a schedule if it repeats.

New to agents? Read how it works →

Claude CodeSource-linked

What you get

Linked Markdown notes of scenarios, actors and probabilities in your vault.

The prompt

Core command is original; setup is cleaned from the source.

Setup: point Claude Code at an Obsidian folder, define file/link/format rules, install the NotebookLM MCP server. Command: "Study the notebook. Extract key scenarios, patterns, and probabilities - if X happens, then Y follows" -> write linked Markdown files to the vault.

Recommended

Try it in Grok Bot

  1. Copy the prompt (button below).
  2. Open Grok Bot chat and paste it. Replace any [bracketed] placeholders.
  3. Connect the listed tools (NotebookLM MCP, Obsidian) as connectors when Grok Bot asks.
  4. If the task repeats, ask: “Make this a daily routine.”

Alternatives: the same prompt works in Claude Code, Claude, ChatGPT Agent, OpenClaw.

Set it up

Tools: NotebookLM MCP, Obsidian · Stack: Claude Code + NotebookLM MCP + Obsidian

  1. Read the original source for full context.
  2. Connect the tools listed above to your agent.
  3. Paste the prompt and replace [bracketed] placeholders.
  4. Run once manually and check the output before scheduling it.

Generic suggested steps, not from the source.

Pitfalls & reliability

  • Results are qualitative; no performance claim.

Evidence

Detailed write-up with the full stack named. Used for Polymarket research. Results are qualitative and there is no P&L claim.

Source: X · 2026-03-28 · Verified by us: not yet · Report broken or outdated

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