Open two fresh chats with the same AI model right now. In the first chat, ask something you genuinely want to know. No changes, no tricks. In the second, add one line before your question and watch what shifts! That’s the actual experiment u/Stunning-Caramel-723 wants the whole internet to run against something called Universal Research Pass.
I ran the comparison myself on a question I’d been going back and forth on for weeks. Chat A gave me a clean, confident answer. Chat B surfaced an explanation I hadn’t even considered and told me exactly how sure it was about it. That’s the gap this whole project is chasing.
Normal AI chats run the same lazy loop every time. Read the question. Search two or three things. Summarize. Answer. Research Pass forces a completely different process underneath the same simple interface. The creator built it to make the model do three things differently. Separate discovering an idea from actually proving it. Chase counter-evidence on purpose. Admit what it’s still not sure about.
Getting it running takes one line. You type “Research Pass this: [whatever you want to understand]” and the methodology runs in the background. No extra setup required on your end.
Here’s what’s baked into that one line, according to the repo:
- Figures out the real question hiding under your question
- Writes down the starting assumption before it searches anything
- Builds competing explanations instead of just backing your theory
- Searches across different fields and vocabularies, not one lane
- Traces popular claims back to where they actually came from
- Hunts specifically for counter-evidence and failed attempts
- Checks whether agreeing sources are actually independent of each other
- Separates evidence, interpretation, and hypothesis instead of blending them
- States a confidence level and names what’s still uncertain
- Stops searching once more digging won’t change the answer
None of that happens because the prompt begs the model to “be thorough.” It happens because each of those ten behaviors is a specific instruction the model has to follow before it’s allowed to answer.
📋 How To Run The Test
- Pick a model you already trust and open two brand new chats.
- Chat A: ask your real question exactly how you normally would.
- Chat B: paste “Research Pass this: [the exact same question].” Use the canonical v1.0 prompt from the creator’s GitHub repo, research-pass.
- Read both answers side by side before deciding which one you like better.
Run the canonical version first. Only fork it, shorten it, or retune it for another model after that baseline run. That’s the one rule the original poster actually insists on.
🔍 What The Results Actually Mean
If Chat B just sounds longer and more formal, that’s not a win. That’s padding. A real difference looks different. Chat B names two or three competing explanations. It points out where a popular claim originally came from. Or it flatly states, “I’m not confident about this part, and here’s why.”
The creator isn’t fishing for compliments here. This Redditor specifically wants people to find the cracks:
- False premises the model missed
- Hallucinated sources
- Research that drags on past the point of usefulness
- Questions where the whole structured approach just doesn’t transfer
- Places that stop too early, or refuse to stop at all
- Sections that sound useful but actually add nothing
If normal ChatGPT beats Research Pass on your question, that’s exactly the kind of result worth reporting back.
Not everyone in the comments is sold. One reply called it something that “could’ve been useful 1-2 years ago.” Basically, base models have gotten good enough now that a heavy methodology like this feels like overkill to some people. That’s exactly the kind of pushback the original poster is asking for, not agreement, actual disagreement backed by a real test.
💡 Extra Tips
Check the repo before you start tinkering. It already ships a 10-case benchmark, structured failure report templates, and a testing protocol. That means you’re not building your own scoring system from scratch.
If you do improve something, say exactly why. The original poster wants the reasoning, not just a claim that it’s better. A fix that helps one type of question can quietly wreck another.
One commenter asked whether the whole pass runs inside a single chat or needs a fresh one per question. That’s answered in the repo’s testing protocol, worth a look before you run your first comparison.
Go run the two-chat test on a question you actually care about! Then head to the research-pass repo on GitHub, find the exact spot where it falls apart, and file it. That’s the whole point of freezing this at v1.0, finding the breaks, not collecting fans. 🏴☠️
I built a research prompt that got way more powerful than I expected. Now I want Reddit to break it.
by u/Stunning-Caramel-723 in ChatGPTPromptGenius