Run a test on the AI tool

Before diving headfirst into a full-scale implementation of an AI tool, it's crucial to run a test phase on a smaller scale. This soft launch helps you identify any hiccups or inefficiencies that could impact your workflow.

For instance, you might be a UX/UI designer wanting to use an AI tool to automate user personas. During the test phase, you might find that while the tool can generate personas, it's not quite hitting the mark on capturing user preferences or interpreting analytics accurately. By conducting a test run on a smaller dataset, you save yourself from potential headaches and wasted resources later. This practical step ensures you're able to troubleshoot issues and optimize your workflow without committing too much and too soon.