5 Tips of How to use AI to super boost your job interview preparation

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Preparing for Job Interviews Using AI: 5 Game-Changing Tips

Preparing for a job interview can be intimidating. You don’t know what questions they’ll ask, whether you’re fully prepared, or if they’ll throw tough curveball questions at you. And interviews aren’t just technical tests — they’re psychological tests too. Your level of nervousness directly affects the quality of your answers.

The good news? There’s one thing that can help you overcome that anxiety: good preparation. The more prepared you are, the more confident you’ll feel. And one of the most efficient ways to prepare is by using AI.

Here are five ways to supercharge your interview prep using AI.


1. Analyze the Job Description

Start by copying the job description into a tool like ChatGPT and asking it to extract key skills, phrases, and qualifications. This gives you an instant roadmap of what the company is looking for.

Example prompt:

Analyze this job description and identify the top skills, key responsibilities, and any specific qualifications mentioned. Be specific with examples.

The result will help you align your experience and skills to the role — which is exactly what employers care about.


2. Craft Your STAR Stories

The STAR method is a storytelling technique used to demonstrate your skills and experiences. STAR stands for:

  • Situation — the background context
  • Task — the challenge or responsibility you faced
  • Action — what you did to address it
  • Result — the outcome

Example prompt:

Generate 10 behavioral interview questions for a [Software Engineer / DevOps Engineer] role using the STAR method.

Once you have your questions, write out real stories from your own experience for each one. Then bring them back to AI to refine and improve them.

Follow-up prompt:

Here is my response to a question about overcoming a challenge. Can you improve the clarity and impact using the STAR method?


3. Practice with an AI Mock Interviewer

Mock interviews are the best way to prepare, but it’s not always easy to find someone to practice with. AI can fill that gap.

Example prompt:

Pretend you are an interviewer for a DevOps Engineer role that requires [list of skills and responsibilities]. Ask me five difficult questions, then analyze my answers and suggest improvements.

This lets you practice with an interviewer that understands the role and can give you expert, detailed feedback.


4. Research the Company and Your Interviewer

Interviewers often ask questions specifically designed to find out whether you’ve done your homework. Candidates who research the company show genuine interest — and that matters.

Example prompt:

Tell me about the company culture at [Company Name] and any recent projects or initiatives. Also provide any professional background on [Interviewer Name], if available.

This gives you conversation starters, helps you personalize your answers, and shows your interviewer that you’re serious about the role.


5. Prepare Thoughtful Questions to Ask the Interviewer

This is arguably the most overlooked tip — and it can give you a huge advantage. At the end of your interview, asking smart, thoughtful questions signals that you’re thinking about adding value, not just collecting a paycheck.

A great example question to ask:

“What are a few things I’d need to know to make sure I can do my job the best if I’m hired for this role?”

Example prompt to generate more questions like this:

Suggest some unique questions to ask my interviewer at [Company Name], focusing on culture, growth opportunities, and team dynamics.


Wrapping Up

Using AI for interview prep isn’t cheating — it’s smart preparation. By combining these five strategies, you’ll walk into your next interview more confident, more aligned with the role, and more impressive than the competition.

What does the ideal resume format look like?

I surveyed 10 Recruiters in the Tech industry.
I asked, “What does the ideal resume format look like?”
Here’s what I got:

*Full Disclaimer: I’m not typically a stickler on formatting, but I do get a lot of questions about it. IMO, if the formatting is good, no one will think about it.

1. Single column layout only
ATS systems and human eyes both scan left to right, top to bottom. Two-column resumes break parsing and make scanning harder.

2. 0.5-0.75 inch margins
Tight enough to fit content, wide enough to not look crammed. Default 1-inch margins waste space.

3. Consistent heading hierarchy
Section headers (Experience, Education) should be the same size and weight throughout.

Company names should match each other.
Titles should match each other.

4. Strategic use of bold or italics
Bold either company names OR job titles, not both. Make sure these are easily separable when scanning.

When everything is bold, nothing stands out.

5. 10-11pt font size for body text
Readable without being wasteful.
12pt is too large for experienced professionals.

9pt looks like you’re hiding something.
Calibri 11pt or Arial 10pt are safe defaults.

6. Right-aligned dates
This puts employment timeline in one clean vertical line. Makes gap identification instant.

Left-aligned or embedded dates slow down the scanning process.

7. Adequate white space between sections
One full blank line between jobs.
Half line between bullets.

Section breaks need breathing room.
Dense text blocks kill readability fast.

8. Bullet points, not paragraphs
Every accomplishment gets its own line with a bullet. 3-5 bullets per role is the sweet spot.

Paragraph blocks under job descriptions are auto-skipped.

9. Consistent date formatting
Their suggestion: Pick “Jan 2020 – Dec 2023” or “01/2020 – 12/2023” and stick with it.

Mixing formats looks sloppy.
Month + Year is standard.
Including specific days is unnecessary.

10. Clean header with contact info
Name at top (slightly larger, 14-16pt).
Email and phone on one line below.
LinkedIn URL optional.
No street address needed.
No graphics, no headshots, no decorative lines.
_ _ _

And that’s the list!

I hope this helps folks make better resumes.

Note: In most cases, these answers were unanimous. A few of the questions were 90% consensus, with a few alternative suggestions.

To my audience…

Did any of these sugestions suprise you?

Original: https://www.linkedin.com/posts/adamrbroda_i-surveyed-10-recruiters-in-the-tech-industry-activity-7421554692574515202-x9SW