Books as AI Research Sources in Gemini Notebook
Use Books as AI Research Sources in Gemini Notebook
A hands-on tutorial for evaluators, researchers and M&E professionals.
You probably already use AI with PDFs, reports, research papers and evaluation documents.
But what about the books you use to understand evaluation methodology, qualitative research, systems thinking or international development?
Gemini Notebook can now use eligible books purchased through Google Play Books as sources in a notebook, alongside your own documents and research materials. It can then answer questions using those sources and provide citations back to the relevant material.
Book + evaluation documents + research papers + your questions = a more grounded research workflow.
What You Will Learn
In this tutorial, you will learn how to:
- add an eligible book to Gemini Notebook;
- combine the book with your evaluation documents;
- ask questions grounded in the source;
- use the book to review an evaluation design;
- use it with a Theory of Change and qualitative research;
- check AI-generated citations; and
- use the workflow for evidence-grounded reporting.
Step 1 — Open Gemini Notebook
Start with a notebook dedicated to one research task or evaluation.
Open Gemini Notebook → Click New Notebook → Give it a clear name.
For this tutorial, use:
Youth Employment Evaluation — Methodology Review
A focused notebook is easier to work with than one giant notebook containing unrelated projects.
Step 2 — Add Your Evaluation Documents
First, bring in the documents you actually need for the evaluation.
Open your notebook → Find Sources → Click Add Sources → Select your documents.
For example:
- Evaluation TOR
- Theory of Change
- Baseline Report
- M&E Framework
- Relevant research papers
Wait until the documents appear in the notebook’s source list.
Step 3 — Add an Eligible Book
Now let’s add the professional book you want to use as a methodological reference.
Open your notebook → Click Add Sources → Look for Google Play Books → Select your book → Confirm.
Then return to the Sources panel and check that the book appears alongside your other sources.
This is the workflow described for the new book-source capability.
Your source list might now look like this
☑ Evaluation TOR
☑ Theory of Change
☑ Baseline Report
☑ Evaluation Methodology Book
Now you have something more useful than a book sitting separately from your project material.
Step 4 — Check Whether the Book Qualifies
There is an important catch.
This feature does not mean that Gemini Notebook can automatically read every ebook you own.
The source explains that the specific book capability applies to eligible titles purchased through Google Play Books. The initial catalog was reported to include more than 100,000 titles.
If you have a PDF or EPUB yourself, you can still use it as a regular source where supported.
Step 5 — Test the Book Before Doing Serious Analysis
Don’t jump straight into a complicated evaluation question.
First, test whether the book is being used as a source.
What are the author’s main principles for designing an effective evaluation? Summarize the key principles and provide citations to the relevant passages.
Now look carefully at the answer.
Then:
Make this a habit.
A citation makes an AI response easier to verify. It does not automatically make the interpretation correct.
Step 6 — Use the Book to Review a Theory of Change
Now we can do something much more interesting.
Make sure your Theory of Change and your book are available as sources.
Using the methodological principles in the book, review this Theory of Change. Identify assumptions that may be insufficiently specified, causal links that need stronger evidence, and important contextual factors that may be missing. Cite the relevant sources.
Notice the difference.
Instead of asking:
“Is my Theory of Change good?”
you are asking AI to apply a specific methodological lens to your Theory of Change.
Step 7 — Review an Evaluation Design
Now add your evaluation TOR.
Sources → Add Sources → Select the evaluation TOR → Make sure the methodology book is also available.
Then ask:
Review the proposed evaluation design in the TOR using the methodological principles presented in the book. Identify strengths, weaknesses, methodological risks and questions the evaluation team should discuss. Cite the relevant sources.
This turns AI into a methodological review assistant, rather than just a writing assistant.
Step 8 — Ask AI to Challenge Your Thinking
This is one of the most useful ways to use the tool.
Don’t ask AI only to confirm your approach.
Ask it to challenge you.
Act as a critical M&E methodological reviewer. Use the book as a methodological reference and the evaluation documents as project evidence. Identify weaknesses, unsupported assumptions, threats to validity, evidence gaps and conclusions that may be stronger than the evidence supports. Do not simply agree with the proposed approach. Explain your reasoning and cite the relevant sources.
This changes the relationship with AI.
Instead of:
“Help me write this.”
you are asking:
“Help me think more critically about this.”
Step 9 — Use It for Qualitative Research
Suppose you have an interview guide and a book about qualitative research.
Sources → Add Sources → Add your interview guide → Confirm that your qualitative research book is also available.
Then ask:
Using the qualitative research principles in the book, review this interview guide. Identify leading questions, missing areas of inquiry and opportunities for better probing. Explain your reasoning and cite the relevant source.
Then follow up:
You now have a simple workflow:
Review → Challenge → Improve
Step 10 — Use It to Review Qualitative Findings
After data collection, add your qualitative findings or analysis.
Then ask:
Review these qualitative findings using the methodological principles in the book. Separate participant accounts, recurring themes and broader interpretations. Identify conclusions that may go beyond the available evidence.
For example
“The program increased women’s confidence.”
“Several interviewed participants described increased confidence following participation in the program.”
The point is not that the second sentence is always correct. The point is to make the strength of the statement match what the evidence actually supports.
Step 11 — Use the Sources for Reporting QA
Now imagine your evaluation report is almost finished.
Add the draft report to the notebook.
Sources → Add Sources → Select your draft report.
Then ask:
Review this draft evaluation report for methodological and evidentiary quality. Identify unsupported claims, overstatements, missing limitations, inconsistencies between findings and conclusions, and recommendations that are not clearly connected to evidence. Use the uploaded sources to support your assessment.
Then ask:
For each issue you identified, show the evidence and explain why the current wording may be too strong or insufficiently supported.
This can give you a useful AI-assisted quality-assurance pass before the report goes to a client or donor.
Step 12 — Verify Important Citations
This is the step I would not skip.
When AI gives you an important claim:
- Find the citation.
- Click the citation.
- Read the original passage.
- Check whether it really supports the claim.
- Check whether AI interpreted the author’s argument correctly.
- Decide whether the source actually applies to your evaluation context.
A Complete M&E Example
Imagine you are evaluating a youth employment program.
Your notebook contains:
- Evaluation TOR
- Theory of Change
- Baseline Report
- Interview Guide
- Evaluation findings
- Relevant academic papers
- A professional evaluation book
Now work through these questions in order:
What principles from the book are most relevant to this evaluation?
What assumptions or causal links should we examine more carefully?
What methodological risks should the evaluation team discuss?
Does the interview guide adequately address the evaluation questions?
Which findings are strongly supported, and which require more cautious interpretation?
Which conclusions or recommendations may be stronger than the evidence supports?
You have now moved from asking isolated AI questions to building a source-grounded evaluation workflow.
A 15-Minute Exercise for EvalCommunity Users
Let’s make this practical.
- Open Gemini Notebook.
- Click New Notebook.
- Name it M&E Methodology Test.
- Click Add Sources.
- Add one evaluation document.
- Click Add Sources and look for Google Play Books.
- Select an eligible professional book.
- Check that both sources appear in the Sources panel.
- Ask: “What methodological principles from this book are relevant to this evaluation document?”
- Open at least three citations and check them yourself.
Your goal is to see whether AI can help you connect professional knowledge with the evidence and documents in your evaluation.
A Few Things to Keep in Mind
- Not every ebook is eligible for the book-source feature.
- The specific capability requires an eligible book purchased through Google Play Books.
- Your own uploaded PDF or EPUB can still be used as a regular source where supported.
- Feature availability and interface labels can change as Google updates the product.
- Always verify important citations and methodological claims.
The EvalCommunity Takeaway
The exciting part isn’t simply that AI can now work with books.
The bigger opportunity is bringing different types of knowledge into one research environment:
Published expertise
+
Research
+
Evaluation documents
+
Your evidence
+
AI-assisted analysis
That gives you a much better starting point for asking:
rather than simply asking:
“What does AI think?”
Use AI to connect the sources.
Use your professional judgment to decide what the evidence actually means.
That’s the difference between using AI to generate research and using AI to support better research.
