By skyforbes I didn't originally intend to turn it into a "system," but I've had so many GPT chats in the past month that I've reorganized them into a single project. I use GPT and Claude to iterate on my resume wording, then categorize different content types into notions. Simultaneously, I use Beyz interview assistant to conduct simulated behavioral interviews, then have GPT parse the transcribed text. If my STAR story goes off-topic or I omit the "impact" section, the AI will alert me. If I have too many pauses and interjections, the AI will bold them and offer suggestions for improvement. It's so much like A/B testing hints, haha: version 1 is verbose, version 2 is more concise, and version 3 sounds more natural.
I've even started marking my mistakes, such as filler words, vague examples, missing metrics, etc. This has actually reduced my anxiety, because I can see my shortcomings from a third-person perspective (or the interviewer's perspective). I feel I've learned a lot about the job itself through this process, and this method has been very effective for me.
But now I'm curious: where exactly is the limit to "prompt"? How much of this process is systematically helping me improve efficiency? Has anyone else used this mindset to optimize their job search?