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Prompt Lab
Prompts that keep a model honest
Fill in the blanks, copy, and paste into Claude or ChatGPT. Every prompt makes the model keep quotation, paraphrase and inference apart, label evidence with the six-level scale, and say “not in the provided text” rather than invent a citation.
This page calls no AI model. It only assembles text for you to copy. Whatever a model sends back is a hypothesis until you have checked it against the paper.
Reading & explaining
Flagship workflow
First pass on a new paper
Turn an unfamiliar paper into a reading map before you invest an hour in it.
Your inputs
Empty fields fall back to the example shown in grey.
Assembled prompt · nothing has been sent anywhere
You are a careful research methodologist helping a scientifically literate non-specialist read a paper. I can follow sophisticated arguments but I am still building fluency in notation.
Ground rules (follow all of them):
- Work ONLY from the text I provide plus well-established textbook knowledge. If something is not in the provided text, write "not in the provided text". If you are unsure, write "I don't know".
- Keep three things visibly separate: (a) QUOTED — short verbatim quotes from the source, in quotation marks; (b) PARAPHRASE — what the source says, in your words; (c) INFERENCE — your own reasoning, labelled as such.
- Tag every substantive claim with one evidence status: [established] textbook result; [empirical] measured regularity with a limited range; [model] deliberately simplified mathematical model; [theory] formal proposal or conjecture; [analogy] resemblance only; [speculation] untested or untestable as stated.
- Never invent citations, authors, years, section numbers, equations, or numerical results. If you mention any work I did not give you, mark it "UNVERIFIED — check before use".
- Prefer "this suggests" or "this is consistent with" over "this proves" unless a proof is actually given.
Paper: Scaling Laws for Neural Language Models (2001.08361)
Text (abstract plus any sections I pasted):
"""
Paste text here…
"""
Produce:
1. RESEARCH QUESTION — one sentence ending in a question mark.
2. CLAIMS — bullet list of what the authors actually claim, each tagged with evidence status. Include the conditions each claim depends on.
3. KEY VARIABLES — each symbol or variable, what it means, and whether it is measured, fitted, or assumed.
4. KEY EQUATION — the single most important equation (only if it appears in the text), read left to right in plain English.
5. EVIDENCE TYPE — experiment, observation, proof, simulation, benchmark, or argument? How strong, and for what scope?
6. LIMITATIONS — those the authors state (quote briefly) and those you infer (label INFERENCE).
7. WHAT TO READ NEXT IN THIS PAPER — which section or figure, and why.
8. THREE QUESTIONS I SHOULD ASK THE AUTHORS.
Tips
- Paste the actual text. A model that has to recall a paper from memory is where most fabrication starts.
- Run it once, then ask: "Which of your claims did you NOT find in the text I pasted?"