Prompt Bench
A testing area for comparing prompts, analyzing weak instructions, and side-by-side prompt performance tests.
Prompt Bench
What Information I Remove Before Pasting Work Into ChatGPT
An ordinary office worker shares a practical, tested pre-paste sanitization workflow designed to prevent data leaks when using ChatGPT for work. Instead of relying on vague caution, this guide outlines a strict two-minute rule and five essential sanitization categories—names, numbers, identifiers, personal details, and format artifacts—to safely scrub sensitive corporate data before it ever touches a third-party chat log.
Prompt Bench
How I Compare Two ChatGPT Answers Without Fooling Myself
An ordinary office worker shares a practical, tested six-step workflow designed to eliminate human bias when comparing competing ChatGPT prompts. Instead of trusting gut feelings or falling for recency and confirmation biases, this guide outlines how to pre-define strict win conditions, run identical inputs, count actual edits, and record objective verdicts. It demonstrates how a structured review process leads to better prompt engineering and reliable results.
Prompt Bench
“Make This Better” Is Not a Prompt: My First Failed Test
An ordinary office worker shares a revealing first-hand test of a common AI mistake: typing vague commands like “make this better.” Instead of helpful polish, the prompt produced generic fluff and diluted key facts. The guide breaks down why vague instructions fail, explains the pitfalls of unstructured AI output, and outlines a practical five-part prompt structure that saves actual working time on Monday mornings.
Prompt Bench
The Five-Part Prompt I Use When I Need a Useful First Draft
An ordinary office worker shares a reliable, tested five-part prompt structure designed to produce actually usable first drafts. Instead of vague commands or lengthy prompt engineering, the guide breaks down how role, task, context, constraints, and format work together to stop artificial intelligence from guessing. It highlights essential privacy precautions, strict rules against unverified facts, and practical ways to save real editing time on Monday mornings.
Prompt Bench
Same Task, Three Prompts: Which One Produced the Least Editing?
An ordinary office worker shares a practical, side-by-side comparison of three different ChatGPT prompts using the exact same rough project notes. By tracking actual edits and editing time, the field guide reveals why lazy one-line prompts create more work, how basic structure helps, and why a detailed five-part prompt featuring role, context, and constraints wins by saving over ten minutes of manual cleanup on a single work email.