NotebookLM vs ChatGPT PDF Study Evidence Pack

NotebookLM vs ChatGPT PDF Study Evidence Pack

This page shows the evidence behind the three public PDF study workflow guides. It is intentionally small: one synthetic study handout, one shared prompt, one NotebookLM run, one ChatGPT run, screenshots, outputs, scoring sheet, and limitation notes.

Tested with

FieldValue
Test sourceOne synthetic study handout about attention, working memory, long-term memory, retrieval practice, spacing, recognition, recall, and a three-day review plan
PromptSame-source study prompt
NotebookLM runOne captured run
ChatGPT runOne captured run
Last checked2026-07-09
Claim typePractical workflow test, not a broad benchmark

What this evidence supports

The evidence supports a narrow workflow recommendation:

  1. Use NotebookLM first when the job is source-grounded extraction and source checking.
  2. Use ChatGPT second when the job is explanation, quiz generation, answer-key formatting, and review planning.
  3. Verify high-stakes claims against the original PDF/source before trusting them.

It does not prove that either tool is always more accurate, better for every PDF, or sufficient for graded/cited work without checking.

Screenshots

NotebookLM source setup

NotebookLM answer visible

ChatGPT study guide output

Raw files

FileLink
Source handout Markdownsame-source-study-notes.md
Source handout PDFsame-source-study-notes.pdf
Shared promptsame-source-prompt.txt
NotebookLM outputnotebooklm-output.md
ChatGPT outputchatgpt-output.md
Evaluation rubricevaluation-rubric.md
Scoring sheetscoring-sheet.csv
Unsupported claims logunsupported-claims-log.md
Source claim mapsource-claim-map.md
Evidence manifestevidence-manifest.md

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