10 Things You Can Do With AI Before You Book a Career Advisor
The campus career center is a good resource. The trouble is the bottleneck: limited hours, a two-week wait for a thirty-minute slot, and too often you walk in with a blank résumé and walk out with a worksheet.
Meanwhile, the tools that can do a surprising amount of that prep are sitting on your laptop right now — free, and available at 2 a.m. the night before the career fair.
I've spent more than a decade working with over a thousand college students as they figured out their first real steps into the working world. So let me be clear about what I'm not saying: I'm not telling you to skip your advisor. I'm telling you to show up to that meeting already eighty percent of the way there — so their time, and yours, goes to the judgment calls a human is genuinely best at. Here are ten things you can do with AI today to get there.
Quick note: I gathered the exact prompts and tools below into one free place — a student career toolkit I built for KACE (the Kansas Association of Colleges & Employers). It's at kaceai.tools, and I'll point you to the relevant section as we go.
01Figure out which careers actually fit you
If you don't know what to major in or where you're headed, that's the most common reason students book an advisor — and the slowest thing to resolve in a single meeting. Instead, feed an AI assistant your interests, strengths, and personality, and ask it to cross-reference real occupational data from O*NET to suggest fields worth exploring. You'll arrive at your advisor with three directions to react to instead of a blank stare. The career-exploration prompts and links are in the toolkit.
02Turn your résumé into one that beats the ATS
Most résumés are rejected by software before a human ever sees them. Paste your résumé and a job post into AI and ask it to rewrite your bullets as "action verb + measurable result," flag the keywords you're missing, and tailor your summary to the role's language. Then run it through an applicant-tracking checker like Jobscan. The ready-to-paste résumé prompt lives on the toolkit.
03Rewrite your LinkedIn so recruiters come to you
A strong LinkedIn profile works while you sleep. Ask AI for a few headline options under 220 characters, a couple of "About" hooks built from your actual wins, and a simple weekly posting plan tied to the skills employers in your field care about. The LinkedIn branding prompt is in the toolkit, ready to copy.
04Run unlimited mock interviews — on your schedule
Reps win interviews, and AI gives you infinite reps with zero scheduling. Have it play interviewer for your target role, score each answer one to five, and rewrite your responses with better phrasing. Then graduate to tools that watch and listen — Yoodli or Google's Interview Warmup — before you ever face a human. The adaptive interview-coach prompt is in the toolkit.
05Decode what a job posting is really asking for
Job descriptions are written in code. Paste one into AI and ask it to translate the listing into the three or four things that actually matter, the hidden requirements buried in the "nice to haves," and the specific words you should echo back in your application. You'll stop guessing what they want.
06Map the exact skills employers want for your target role
Ask AI to analyze a batch of real postings for the role you want and rank the skills that show up most. Cross-check it against the Occupational Outlook Handbook for demand and pay. Now you have a concrete list of what to learn this semester — not a vague feeling that you "should learn more."
07Write outreach that alumni and recruiters actually answer
The cold message is where most networking dies. Give AI the person's role and a line about why you're reaching out, and ask for a short, specific, non-desperate note — plus a follow-up if they don't reply. Keep it human and send it yourself; AI just gets you past the blank page.
08Build a portfolio project that proves you can ship
Nothing beats showing an employer something you actually built. Pick one small thing a month — a tool that summarizes a job posting's keywords, a chart of the top skills across fifty listings, a simple résumé highlighter — and post a sixty-second demo. The toolkit has a running list of project ideas designed to signal exactly that: I can ship.
09Stay ahead of how AI is reshaping your field
Whatever you're studying, AI is already changing the entry-level jobs in it. Spend ten minutes a week skimming a good newsletter so you can speak to it in interviews — it's a quiet signal that you pay attention. The toolkit collects the best free ones and an auto-updating feed of AI-and-careers news.
10Take an AI readiness check — and close your gaps
Finally, find out where you actually stand. The toolkit includes a two-minute AI Readiness Check with separate tracks for students and advisors, so you can see what to learn next instead of guessing. It's the fastest way to turn "I should get better at this" into a plan.
Where your advisor still wins
Here's the honest part. AI can draft, rehearse, and analyze — but it can't read the room, make the introduction to the local employer who hires from your program, or hold you accountable to the goal you set last month. That's what a great career advisor does. So use AI for the reps and the prep; use your advisor for judgment, networks, and accountability. Do both, and you'll be ahead of nearly everyone.
Every prompt, tool, and project idea above — in one place.
I built the KACE Student AI Hub to make all of this usable in an afternoon. No sign-up, no cost.
Open the toolkit at kaceai.tools →The goal was never to replace the people who help students — it was to give those students a running start. Try one of these this week. Then go book the advisor, and watch how much further that conversation goes.