The wrong question
Open any tech feed and someone is crowning a new "best AI." A model tops a leaderboard, the post goes viral, and a week later a different model tops a different leaderboard. If you pick your tools this way, you are optimizing for a number that was never about your job.
The useful question is not "which model is smartest." It is "what does this task punish when it goes wrong?" A marketing email punishes a robotic tone. A migration script punishes a failed build. A finance sheet punishes an off-by-one column. A logo punishes looking generic. Those are four different failures, and they point to four different tools.
Classify the task, then the tool
Before you open a chat window, name two things: the type of work, and how you will know it failed. The failure mode does most of the picking for you.
