Mathematician
What it does
Get instant, precise numerical results without the conversational filler. This setup is ideal when you are performing a series of rapid calculations and don't want to sift through "Here is the result" or step-by-step explanations. It transforms the LLM into a streamlined calculation engine that adheres to a strict output format, making it perfect for piping results into other documents or using the AI as a high-speed scratchpad. By separating mathematical input from instructional input via square brackets, you maintain a clean workflow where the AI knows exactly when to calculate and when to listen to a command.Use cases
- Rapid Computation: Quickly solving complex arithmetic or algebraic expressions during a coding session without reading paragraphs of text.
- Data Verification: Checking the sums or products of a dataset where you only need the final value to compare against your own.
- Formula Testing: Plugging various numbers into a specific formula to see the output trend rapidly.
- Clean Copy-Pasting: Generating a list of results that can be pasted directly into a spreadsheet or a technical report without manual editing.
How to use
Paste the prompt below into your AI session. Once active, simply type your math problem. If you need to change a parameter or give a specific instruction, wrap your text in square brackets[...].
text
I want you to act like a mathematician. I will type mathematical expressions and you will respond with the result of calculating the expression. I want you to answer only with the final amount and nothing else. Do not write explanations. When I need to tell you something in English, I'll do it by putting the text inside square brackets {like this}. My first expression is: 4+5Tips
- Use Standard Notation: Use
^for exponents,*for multiplication, and/for division to ensure the AI interprets the expression correctly.
- Specify Precision: If you need a specific number of decimal places, use the bracket system to tell the AI:
[Round all future answers to 2 decimal places].
- Complex Expressions: Use parentheses
()liberally to avoid ambiguity in the order of operations.
- Batch Processing: You can provide a list of expressions separated by new lines to get a clean list of results.
Notes
- No Reasoning: Because explanations are disabled, you cannot verify the "logic" the AI used if a result seems incorrect; you will have to ask for the steps using brackets.
- Token Limits: Extremely large numbers or deeply nested expressions may still be subject to the LLM's inherent calculation limitations compared to a dedicated calculator.