Developer Builds Tiny Prompt Journal to Block Redundant AI Model Requests

A developer working on a text-classification lab in Halifax repeatedly sent identical prompts to an AI model after making only mental notes rather than actual changes to the request payload. The experience revealed a common pitfall: mistaking a revised thought for a revised input, resulting in the same wrong output each time. To address this, the developer built a lightweight Python tool that hashes and journals each prompt request, blocking any send where the diff between the current and previous request is empty. The tool relies solely on Python 3.9+ standard library modules — hashlib and json — requiring no third-party packages. It signals blocked attempts via stdout and a shell-readable exit code, making failures more visible than the sender's optimism.