Nijat Behbudov

Most resume summaries are just "results-driven, passionate professional" with extra steps. If your summary could describe a thousand other applicants, it's not doing its job. It's the first thing a recruiter reads, and that's exactly where generic content hurts the most. Your memorable line doesn't have to be languages. A side project, a sport you competed in, something weird you build on weekends. Anything an interviewer would genuinely want to ask about. You also don't need a new summary for every application. Keep one keyword line per type of role you're targeting and swap it in. ✨ Comment "summary" and I'll send you my template. #resumetips #resumesummary #jobsearch2026 #productmanager #jobsmaxxing2026

Using ChatGPT for your job search only works if it actually knows who you are. The file most people skip is their work projects. Decks, reports, launch recaps. That's where your real numbers live, so strip anything confidential before you upload. One setting I'd change on day one: project-only memory. Your salary numbers stay inside the project instead of showing up in random chats later. On the free plan you only get 5 files per project. Merge your old resumes into one PDF and you're fine. And look, it's still ChatGPT. Check every number before it goes anywhere near your resume. Comment "strategist" and I'll send you my exact setup, including the instructions template and the prompts I used for every step. #jobsearch #chatgpt #chatgpttips #techcareers #jobsmaxxing2026

✨ comment "intro" for the free guide on how to write your own answer to "tell me about yourself" Tell me about yourself” sounds like the easiest interview question until your brain suddenly decides to give the recruiter your entire autobiography. The problem is that most people either say way too much, sound like they memorized a script word for word, or start walking through their resume line by line. A strong answer should feel prepared, but still conversational. I usually think about it as a short professional story: who you are, the career highlights that actually matter, a little bit of personality, and most importantly, why your background makes sense for this specific role. And yes, the recruiter already has your resume. You do not need to read it back to them like an audiobook. For most recruiter screens and job interviews, I’d keep your “Tell me about yourself” answer around 60 to 75 seconds. Long enough to give them useful context, short enough that they can actually ask follow-up questions. If you’re currently job searching, interviewing, preparing for recruiter screens, practicing behavioral interview questions, or trying to land a new tech job, spend real time practicing this one. Just don’t practice it so much that you start sounding like an NPC reading notes #interviewtips #jobsearch #jobinterview #careeradvice #techjobs #recruiter #interviewprep #jobsearchtips #careertips #hiring #resumetips #bigtech

AI is making a lot of resumes technically “better” and somehow way more forgettable. The biggest shift for me was treating AI like an editor, not the author of my career. Your best material is usually buried in old projects, messy notes, forgotten metrics, random tools you used, and problems you solved years ago. Build that master resume first. Then let AI help you choose what matters for each job. The goal is not to sound like the job description. The goal is to make it painfully obvious that your real experience fits it. Jobsmaxxing 2026 continues.

Chatgpt can absolutely cook your resume into generic AI slop and recruiters these days can easily sniff that. The problem isn’t using AI. The problem is giving it way too much control over your story. Your best resume details usually come from the parts AI can’t invent: the specific project context, the tradeoffs, the tools you actually used, the numbers you actually moved, and the way you solved the problem. Use AI like an editor, not like your career ghostwriter.

I have WAY too many useful ideas trapped inside AI chats that never make it anywhere else. I’ve been using @mirohq to bring that thinking into a shared visual workspace where I can actually keep building on it with my team. In this workflow, I brainstorm in ChatGPT, bring that context into Miro through MCP, then use Miro Flows to go from those ideas and a PRD all the way to a functional prototype on the same canvas. It’s a much better way for me to turn scattered AI conversations into something my team can actually see, discuss, and build from. Paid partnership with @mirohq #MiroPartner