Yes. You can recreate that “strong frontier model” example yourself by giving ChatGPT or Claude a large body of your own notes/models, then asking it to do cross-document reasoning, not just summarize.
The important shift is this:
Don’t ask: “Summarize my notes.”
Ask: “Reason across my notes, find patterns, contradictions, recurring beliefs, predictions, and source quality.”
1. What you are trying to reproduce
The speaker did two things:
- Fed the model several business/financial models and asked it to create a master view of his beliefs.
- Fed the model years of personal notes and asked it to identify:
- consistent ideas
- contradictions
- which sources were most predictive
- what assumptions kept showing up
- what beliefs changed over time
For you, the equivalent would be something like:
“Analyze my notes on Christianity, Enlightenment morality, human rights, Siedentop, Holland, Freeman, and Nietzsche. Tell me what thesis I seem to be building, where my assumptions conflict, which authors are doing the most work in my thinking, and what questions I still need to resolve.”
That is much more powerful than a normal summary.
2. Set up the source material
Use one of these setups.
Option A: ChatGPT + Google Drive
Put your PDFs and notes into a clear Google Drive folder, then connect Google Drive to ChatGPT through Settings → Apps → Google Drive → Connect → Sync, if your plan supports it. OpenAI’s help page says Google Drive sync lets ChatGPT connect to Drive and begin syncing files after authorization. Source: https://help.openai.com/en/articles/10948259-google-drive-app-with-sync-self-service-setup
OpenAI also says ChatGPT apps can search and reference information from your connected data sources and run deep research across multiple sources. Source: https://help.openai.com/en/articles/11487775-connectors-in-chatgpt
Option B: Claude + Projects / Google Drive
Claude lets you add Google Drive files into chats or project knowledge. Anthropic says you can open a project, go to the Files section, click the plus button, select Drive, and add relevant files. Source: https://support.anthropic.com/en/articles/10166901-using-the-google-docs-integration
Claude Projects are designed as self-contained workspaces with their own chat history and knowledge base. Source: https://support.anthropic.com/en/articles/9517075-what-are-projects
Claude also has RAG for Projects, where Claude searches project knowledge instead of loading everything into memory at once. Source: https://support.anthropic.com/en/articles/11473015-retrieval-augmented-generation-rag-for-projects
Option C: Manual upload
Simpler but less scalable:
- Export a folder of Obsidian notes as Markdown.
- Upload several PDFs or Markdown files into ChatGPT or Claude.
- Ask for cross-document analysis.
This works best for a focused topic, not your whole library.
3. Organize your notes before asking
Create a folder like this:
AI Research Test/
Christianity and Western Morality/
Holland - Dominion notes.md
Siedentop - Inventing the Individual notes.md
Freeman - Closing of the Western Mind notes.md
Nietzsche - slave morality notes.md
Human rights without God.md
Secular moral realism.md
Enlightenment morality.mdFor business/financial models, use something like:
AI Model Analysis/
Assumptions/
AI token demand assumptions.md
TSMC capacity assumptions.md
Nvidia revenue assumptions.md
Open-source model commoditization.md
Frontier lab moat thesis.md
Spreadsheets/
AI infrastructure model.xlsx
TSMC capacity model.xlsx
GPU demand model.xlsxThe model performs better when your files are named clearly.
4. Ask it to build a “master view”
Use this prompt:
I want you to act as a research analyst.
Analyze all the attached notes/files as a single body of thought. Do not merely summarize each file separately.
Build a master view of my beliefs and assumptions.
Return:
1. My central thesis
2. The recurring claims I keep making
3. The assumptions that seem to drive my thinking
4. The authors/sources doing the most work in my reasoning
5. The strongest evidence I rely on
6. The weakest or least-supported claims
7. Internal contradictions or tensions
8. Questions I have not resolved yet
9. Missing authors, books, or perspectives I should add
10. A revised, more rigorous version of my thesis
Where possible, cite the file or note that supports each point.This is the closest equivalent to what the speaker described.
5. Ask it to find contradictions
Use this:
Analyze these notes for contradictions and unresolved tensions.
Focus especially on:
- places where I seem to accept two claims that may conflict
- places where one author undermines another author
- places where I use a concept inconsistently
- places where I need to distinguish historical influence from philosophical justification
- places where I conflate genealogy, causation, and moral validity
For each tension, give:
1. The conflicting claims
2. Where each claim appears
3. Why they conflict
4. Whether the conflict is real or only apparent
5. How I could revise the argument to remove the problemFor your Christianity/Western morality research, this would be especially useful because one major tension is:
Christianity may have historically shaped Western morality, but that does not prove Christianity philosophically grounds Western morality.
That distinction matters a lot.
6. Ask it to identify your “highest signal” sources
This is what the speaker meant when he said the model found which sources were “highest signal to what actually played out.”
For your research library, use:
Review these notes and identify which authors or sources appear to be highest-signal for my project.
By "highest-signal," I mean sources that:
- explain many other ideas
- recur across different notes
- clarify the central debate
- help predict where the argument goes
- force me to revise or sharpen my thesis
- are cited by multiple other authors
- expose weaknesses in competing explanations
Rank the top 10 sources.
For each source, explain:
1. Why it is high-signal
2. What part of my thesis it supports
3. What part of my thesis it challenges
4. Whether I should read it deeply, skim it, or use it only as referenceFor your current interests, likely high-signal sources would include Siedentop, Holland, Freeman, Nietzsche, Himmelfarb, MacIntyre, Charles Taylor, Larry Arnhart, Brian Tierney, Samuel Moyn, and John Gray.
7. Ask it to trace belief change over time
This works if your notes have dates.
Analyze these notes chronologically.
I want to understand how my thinking changed over time.
Return:
1. My earliest position
2. My current position
3. Major turning points
4. Authors or arguments that shifted my view
5. Claims I repeated consistently
6. Claims I abandoned or weakened
7. New distinctions I learned to make
8. A timeline of my intellectual development on this topic
9. The next 5 questions I should investigateThis would be useful for your Obsidian vault because your research is clearly evolving from:
“Did Christianity create Western morality?”
toward:
“What is the difference between Christianity’s historical influence, philosophical justification, institutional transmission, and modern secular reconstruction?”
That is a sharper framework.
8. Ask it to build an Obsidian-ready output
Use this after the analysis:
Turn the analysis into an Obsidian-ready note.
Format it with:
- YAML frontmatter
- clear headings
- internal links using [[double brackets]]
- tags
- key claims
- counterclaims
- source list
- unresolved questions
- related notes I should create
- a final section called "Permanent Notes to Create"
Do not flatten the argument. Preserve tensions and disagreements.You can also ask:
Create an Obsidian MOC for this topic with links to the major notes I should create.MOC = Map of Content.
9. For business/financial models, use this version
If you want to copy the speaker’s financial-model example more directly:
Act as an investment research analyst.
I am giving you several models, notes, and assumptions about AI infrastructure, token demand, frontier models, open-source commoditization, TSMC capacity, Nvidia/AMD chips, and hyperscaler capex.
Create a master view of the thesis implied by these files.
Return:
1. The core investment thesis
2. The key assumptions
3. The most important variables
4. The causal chain
5. The biggest upside drivers
6. The biggest downside risks
7. Contradictions between assumptions
8. What would have to be true for the thesis to work
9. What would falsify the thesis
10. A bear case, base case, and bull case
11. The 5 assumptions I should track over timeThen follow up with:
Now stress-test the thesis.
Assume the following possibilities:
1. Open-source models close the gap faster than expected.
2. Inference costs fall faster than token demand rises.
3. TSMC capacity becomes the bottleneck.
4. Frontier models continue to extend their lead.
5. Agentic workflows increase token consumption by 10x.
For each scenario, explain what changes in the thesis.10. The best workflow for you personally
Given your current research style, I would do this in stages:
Stage 1: Choose one focused research domain.
Example: Christianity and Western Morality.
Stage 2: Gather 10–20 notes/PDFs.
Use Holland, Siedentop, Freeman, Nietzsche, Enlightenment morality, secular human rights, natural law.
Stage 3: Ask for a master view.
Do not ask for summaries.
Stage 4: Ask for contradictions.
Force the model to critique your implied thesis.
Stage 5: Ask for missing sources.
Use it to improve your reading list.
Stage 6: Ask for Obsidian output.
Turn the results into MOCs, permanent notes, and argument maps.11. The most important prompt pattern
Use this structure repeatedly:
Do not summarize file-by-file.
Reason across the entire set.
Find the hidden structure, assumptions, contradictions, strongest evidence, weakest claims, and missing perspectives.
Then produce a revised version of the thesis that is more precise than the one implied by the notes.That is the key. You are not using the model as a summarizer. You are using it as a research auditor.
12. What to watch out for
Do not trust the output blindly. These systems can still:
- overstate patterns
- invent coherence where your notes are actually messy
- miss source nuance
- confuse author positions with your own positions
- flatten disagreement
- produce fake certainty
So after it gives you the master view, ask:
Now critique your own analysis. Where might you have overfit the pattern, misread my notes, or imposed coherence that is not actually there?That second pass is where the workflow becomes much more useful.