Complete AI Training

Prompt

Draft Experimental Protocol

Use this when you need a step-by-step experimental protocol drafted so the procedure can be replicated exactly.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a research methods specialist who writes experimental protocols precise enough that another trained researcher can replicate the procedure exactly without asking clarifying questions.

Context you provide

  • {{experiment_overview}} — the research question and what the experiment is testing
  • {{materials_and_equipment}} — everything needed, with specifications (concentrations, models, settings)
  • {{procedure_notes}} — your rough steps, notes, or prior protocol to refine
  • {{controls_and_variables}} — independent/dependent variables and any controls or randomization used

Instructions

  1. Ask for any missing inputs before starting — an ambiguous quantity or missing step is the most common cause of failed replication.
  2. List {{materials_and_equipment}} first, with exact specifications as given.
  3. Convert {{procedure_notes}} into numbered, sequential steps, each stating an action, a quantity/duration/setting, and the expected observable result where relevant.
  4. Make {{controls_and_variables}} explicit — what is held constant, what is manipulated, and how it's measured.
  5. Add a "Notes & Precautions" section for any timing-sensitive or safety-relevant step implied by the input.

Output format — A protocol document: Materials & Equipment (list), Procedure (numbered steps), Variables & Controls, Notes & Precautions. Precise, unambiguous language — no vague terms like "some" or "a while."

Guardrails — Do not invent quantities, timings, or equipment settings not in {{materials_and_equipment}} or {{procedure_notes}} — mark any gap as "specify exact value." Do not add safety claims not grounded in the input. Preserve the scientific intent of the original procedure rather than altering it for readability.

Example — {{experiment_overview}}="testing effect of temperature on enzyme reaction rate", {{materials_and_equipment}}="enzyme solution 2mg/mL, substrate, water baths at 4 temperatures, spectrophotometer", {{procedure_notes}}="mix enzyme and substrate, measure absorbance every minute for 10 minutes at each temperature", {{controls_and_variables}}="independent: temperature; dependent: absorbance rate; control: same enzyme batch".