How I Use ChatGPT to Build Resumes That Actually Get Interviews

You’ve been told the resume is just a formality. That if you’re good at your job, someone will notice. That networking trumps everything.

But here’s the hard truth: the job market doesn’t reward effort—it rewards visibility.

Most job seekers apply to dozens (sometimes hundreds) of roles and get nothing back but silence. Not because they’re unqualified. Not because they’re lazy. But because their resume is failing a test they didn’t know existed.

In this article, you’ll learn how to use AI resume writing—the right way—to build a document that beats the ATS, hooks human reviewers, and positions you as the obvious choice.

We’ll dismantle outdated assumptions, walk through a proven 5-part ChatGPT workflow, and show you how to turn any resume (even a blank page) into a high-performance asset.

I’ve coached over 400 professionals in the current job market over the last 24 months—career changers, mid-level strivers, and emerging leaders—through this exact system. With it, they’ve cut job search time in half and landed roles in tech, healthcare, finance, and more.

You’re Not Getting Ghosted—You’re Getting Filtered

Let’s get this straight: most resumes don’t get rejected. They just never get seen.

According to Jobscan, over 98% of Fortune 500 companies now use applicant tracking systems (ATS) to screen resumes before a human even opens them. These systems prioritize keywords, not potential. If your resume doesn’t echo the language of the job description, it drops into a digital abyss.

And no, being a “hard worker” isn’t enough. The algorithm doesn’t care.

Why Most Resumes Fail Before a Human Ever Sees Them

You’ve probably been told to make your resume stand out with color, columns, icons, or a snappy template. But here’s what hiring systems actually reward: simplicity, structure, and relevance.

ATS algorithms were designed to parse clean text. They don’t read graphics. They misread columns. And they strip formatting that you think makes you “pop.” All those Canva resumes? Many get rejected before line one.

In fact, the Harvard Business Review reports that even minor formatting issues can drastically reduce visibility—and that 85% of job seekers underestimate how often ATS filters block qualified candidates.

The Death of the Microsoft Word Template

Here’s the contrarian twist: it’s not about how your resume looks. It’s about how well it mirrors what employers are looking for. That starts with ditching default templates and building a resume that speaks the employer’s language—structurally and semantically.

Fonts? Garamond, Gill Sans Nova Lite, and Hadasaw Freehand (yes, really) have been battle-tested in ATS environments. Content? Every bullet must prove value. Not just list responsibilities.

If your resume isn’t built backward—from job description → keyword analysis → quantifiable outcomes—you’re already behind.

What AI Resume Writing Actually Means (And Doesn’t)

“Just let ChatGPT write it for you.”

That advice is everywhere—and it’s wrong.

Used poorly, AI creates generic, bloated, or completely fabricated resumes. Used well, it becomes the fastest way to build a high-performance resume that aligns precisely with what employers want.

But to get it right, you need to stop treating AI like a résumé writer—and start treating it like a strategist.

No, AI Can’t “Make Stuff Up”—If You Use It Right

AI doesn’t know your story. It doesn’t know what you achieved or how you solved real problems at work. If you expect it to create those things from scratch, you’re going to end up with a resume full of flattering fiction—and that’s a fast track to rejection.

What it can do—when you guide it correctly—is refine, structure, and align your story to the job you want.

This is about prompting. AI follows instructions. If your input is vague, generic, or aspirational, the output will reflect that. But when you use prompts like “Use only facts from the provided experience. Never invent titles, dates, or metrics,” you create accuracy by design—not by hope.

The real win? You stop wasting time trying to sound impressive and start telling the truth in a way that lands.

The ATS Trap: How to Decode What Companies Actually Want

Hiring managers aren’t scanning resumes line by line—they're relying on technology to surface the most relevant ones.

Applicant tracking systems (ATS) operate like search engines. They reward alignment, not personality. Your job is to match the employer’s phrasing, tone, and terminology—not guess what might sound good. This is where AI shines.

With the right prompt, AI can analyze 3–5 job descriptions, extract core keywords, and build a language profile that mirrors what the employer is actually looking for. Think of it as a semantic SEO strategy—but for your career.

It’s not about stuffing your resume with keywords. It’s about demonstrating you understand the role because your resume speaks the employer’s language.

Why Generic Resumes Are a Career Bottleneck

Most professionals still rely on a one-size-fits-all resume. It’s usually outdated, over-designed, and under-aligned. They send it off 20 times, hoping to “get lucky.” That’s not a strategy. That’s a stall tactic.

The truth is, your resume isn’t a record of everything you’ve ever done—it’s a curated, intentional sales document. And AI can help you build that narrative faster—but only if you take ownership of the raw material.

When you use AI to align content with job-specific language and filter out fluff, you eliminate wasted space and create traction. Done right, it’s like removing friction from every single application you send.

The Promoted Framework: 5 Steps to Build a Resume That Wins

Most resume advice is either cosmetic (“make it pop with color”) or outdated (“stick to one page”). Neither will help you stand out in a high-volume, AI-screened job market.

What you need is a strategic system—one that uses AI to surface your value, align your experience with employer priorities, and eliminate the guesswork. That’s exactly what the Promoted Framework delivers.

This isn’t about outsourcing your resume to a chatbot. It’s about co-authoring your professional story with precision.

It starts with parsing 3 to 5 job descriptions using ChatGPT—not just for keywords, but for voice, tone, and employer intent. This step alone gives you a language map most job seekers never see. From there, you reverse-engineer your experience into clear, quantifiable bullet points that mirror the job’s core priorities.

Next, you build a skills section using what I call “evidence-weighted relevance.” That means we only include tools, technologies, and competencies that are proven in your experience and match what employers are actually looking for.

Then comes the resume summary. Forget third-person jargon and robotic fragments. A modern summary should sound like a confident, self-aware introduction. First person. Focused. Forward-looking. Think of it as your positioning statement—because it is.

Finally, we use AI to run a gap analysis. This uncovers what’s missing, what’s undersold, and what needs reworking. It's not about embellishment—it’s about strategic clarity. You can repeat this process until you have a resume that doesn’t just “read well,” but performs under scrutiny.

I’ve distilled the full method—every prompt, template, workflow, and coaching insight—into a free, step-by-step toolkit and masterclass on Skool. If you're tired of applying into the void, start there.

Because the resume isn’t a document. It’s a filter. And if yours doesn’t pass, your career stalls—no matter how qualified you are.

Run a 3–5 JD Prompt Audit (Job Description Parsing)

The #1 mistake professionals make with AI resume writing? Skipping straight to the resume.

Before you write a single bullet point, you need to decode what employers are actually asking for. And no, glancing at a single job posting doesn’t cut it. You need to analyze 3 to 5 similar job descriptions to reveal what I call the language map—the patterns in tone, terminology, and priority that hiring teams are embedding in plain sight.

Framework: “Echo the Employer” Prompt

Here’s where AI flips the game. Using a single prompt, you can tell ChatGPT to act as an expert resume strategist, analyzing job descriptions for four specific layers:

1. Nouns and skills — the raw technical or functional terms.

2. Key phrases — those 2–5 word collocations like “cross-functional leadership” or “stakeholder reporting.”

3. Verbs and tone — how the company talks about success and ownership.

4. Cultural cues — those unspoken values hidden in phrases like “fast-paced” or “mission-driven.”

With every JD you input, you add clarity. By the time you hit the third or fourth, you’re no longer guessing—you’re triangulating.

And this isn't just theory. According to LinkedIn’s Global Talent Trends, the language in job descriptions has become increasingly values-based and skill-specific. Understanding how a company talks reveals what they value most.

Why It Matters: Relevance > Range

A strong resume doesn’t show that you can do a lot of things. It shows that you can do the exact things they care about.

Most job seekers write resumes based on what they’ve done. High performers write resumes based on what the role demands—and then match their experience accordingly. That’s why this JD audit comes first.

It’s your filter for relevance. It forces you to prioritize. And it eliminates the noise that keeps most resumes from getting traction.

How to Use the Output (And What to Avoid)

Once ChatGPT returns your structured list of keywords, phrases, and tone indicators, resist the urge to stuff them all into your resume.

Instead, use it as a guidepost for alignment. When writing each bullet, each skill, each line of your summary, ask: Does this reflect what they care about?

Avoid “faking fit” by jamming in terms you can’t prove. This is about echoing—not mimicking. You’re showing that your language matches their needs because your experience does.

Step 2: Note-Stacking or Resume Extraction

Once you’ve reverse-engineered the job description, the next move is to surface your proof. That means capturing the raw material of your work history in a way that AI can structure—but never distort.

This is where most people fall into one of two traps:

1. They give ChatGPT nothing and expect magic.

2. They dump in an old resume and hope it still applies.

Neither works. What you need is clarity, not clutter.

Option 1: Note-Stacking for a Fresh Start

If you’re starting from scratch—or haven’t touched your resume in years—note-stacking is your play. This method is about gathering short, high-signal snippets based on the keywords from Step 1. You’re not trying to write full sentences. You’re writing evidence threads.

For each keyword or skill the job description prioritizes, answer these three questions:

1. Where have I done this before?

2. What problem was I solving?

3. What was the result?

If you can quantify it—great. If not, qualify the outcome clearly. Think: “reduced response time by 40%” or “led team-wide rollout across five departments.” This is your inventory. AI can only refine what you give it.

And here’s the trick: MIT research shows that job seekers who use structured self-reflection before writing their resume report higher confidence and better interview outcomes. Why? Because they own their story—before AI formats it.

Option 2: Resume Extraction for Existing Docs

Already have a resume? Good. But don’t copy-paste it into ChatGPT and expect results. Instead, use a prompt that tells AI to only use the facts provided. No guessing. No embellishing. No hallucinating.

That’s where the “Do not infer. Do not invent.” instruction becomes crucial. You’re asking AI to rewrite what’s there—more clearly, more powerfully, more aligned to the job. Not to add fluff or invent credentials you didn’t earn.

This is how you avoid getting flagged or sounding fake. It’s also how you prevent interviews from turning into interrogations.

What You’re Really Doing Here: Building Leverage

Most resumes are written like a diary. Line by line. Chronologically. Passively.

This step flips that. You’re now collecting data against a strategy. Every note you jot, every line you pull from your past, is designed to solve one problem: Do I match what they’re looking for—and can I prove it fast?

This is the shift from hopeful job seeker to high-leverage professional. AI helps with speed. You bring the substance.

Step 3: Bullet Refinement Using the “No Hallucination” Method

Most AI-generated resume bullets sound... off.

They’re either too vague, too robotic, or just plain wrong. Why? Because the average prompt invites AI to fill in the blanks—and it happily does. But in resumes, a made-up number, title, or achievement can ruin your credibility instantly.

That’s where the No Hallucination Method comes in.

The Prompt That Protects Your Integrity

Your bullet points should always be based on verifiable facts. That means giving AI strict rules, starting with:
“Use only the facts provided. Do not invent titles, dates, metrics, or technologies. If a detail is missing, omit it—do not infer.”

This prompt forces ChatGPT to refine, not fabricate. It ensures your resume reflects truth, structured for impact—not illusion disguised as insight.

In fact, OpenAI’s own research confirms that large language models will often fill gaps unless directly told not to. Clear prompting is what separates responsible augmentation from lazy automation.

What Great Resume Bullets Actually Look Like

Strong bullets don’t just list tasks—they demonstrate outcomes. And every line must pull its weight.

The No Hallucination Method outputs bullets that follow eight tactical rules:

1. Begin with a past-tense action verb

2. Include only what you’ve proven

3. Weave in relevant job description keywords naturally

4. Stick to 15–35 words, max

5. Avoid buzzwords like “motivated,” “dynamic,” or “responsible for”

6. Quantify when you can, qualify when you must

7. Keep each bullet on its own line—no paragraph stacks

8. Output only bullets, not commentary or extra text

When followed precisely, these rules build a resume that feels clear, specific, and sharp—without fluff or filler.

Relevance Beats Range

It’s tempting to write a laundry list of everything you’ve done. But here’s the truth: 20 mediocre bullets won’t land an interview. 5 great ones can.

The goal is to surface the highest-leverage actions and results—those that directly echo the employer’s priorities from your job description audit in Step 1.

Remember: your resume isn’t your autobiography. It’s your sales page.

Refine. Cut. Repeat.

Once your bullets are drafted, feed them back into ChatGPT for ordering and prioritization. Ask it to rank your bullets based on job match and impact. Keep the top 5–7. Cut the rest. You can always use them elsewhere—like in your cover letter or LinkedIn profile.

This process doesn’t just make your resume sharper. It makes you clearer on your own value.

Step 4: Skills Bucketing by Category (Not Chaos)

Most resume skill sections are digital clutter.

A scattered list of buzzwords, tools, and half-remembered platforms dumped into one block—no hierarchy, no logic, no alignment. And that chaos signals exactly what you don’t want: a lack of focus.

To stand out, your skills section should read like a strategic brief—clear, categorized, and backed by proof.

The “Proven & Prioritized” Method

Here’s the approach: only list skills you’ve demonstrated and that matter to the role you want next. No filler. No fluff. Every skill must pass two tests:

1. Is this skill shown in my experience?

2. Is this skill aligned with the job descriptions I analyzed earlier?

If it’s not both, it’s gone.

With the right prompt structure, ChatGPT can analyze your experience and categorize your most relevant skills by theme—such as Technical Tools, Leadership & Strategy, or Cross-Functional Collaboration. That structure helps ATS systems parse your resume more easily and helps human reviewers understand your strengths at a glance.

Why Bucketing Works

Category-based skill sections outperform flat lists for one simple reason: they create cognitive clarity.

According to research published by the National Bureau of Economic Research, resumes that are easier to scan—especially those that group content meaningfully—receive more positive attention from recruiters and hiring managers. It’s not just what you say; it’s how efficiently someone can understand it.

Bucketing also communicates intent. It shows that you’ve curated your skills with purpose, not just copy-pasted buzzwords to check boxes.

Two Categories Is Enough (Three Max)

You’re not building a grocery list. You’re building a highlight reel.

Stick to two well-named categories. For example, a data analyst might use Data Engineering Tools and Visualization & Communication. A project manager could use Agile Delivery and Stakeholder Leadership.

Each category should contain 6–10 skills max. Any more than that, and it dilutes the value.

And remember: skills are not just tools. They can be frameworks, domains, or methods—as long as you can prove you’ve used them.

This Is About Credibility, Not Creativity

You don’t need flashy icons, color bars, or “proficiency dials.” None of those improve readability. In fact, they often break ATS parsing.

A clean, two-column format with bolded category titles is enough. Let the substance speak. When your skills are filtered through strategy—not vanity—you build trust before anyone even hits your bullet points.

Step 5: Human-First Summary Writing (Yes, First Person Works)

You’ve built a resume with aligned content, clean structure, and proven skills. Now comes the section most people rush—or ruin.

The summary.

Most resume summaries are lifeless. They’re either riddled with buzzwords (“results-driven, detail-oriented go-getter”) or read like a chopped-up list of titles and traits. Neither builds trust. Neither makes a real impression.

If you want your resume to connect, the summary must sound like you—not a corporate cliché generator.

First Person Isn’t Unprofessional. It’s Powerful.

Here’s the contrarian truth: first-person writing builds trust. It signals self-awareness, ownership, and presence. It makes your experience feel real—and your intent feel authentic.

Research from Harvard Business School shows that candidates who show personality and strategic self-awareness in their application materials are perceived as more competent and hireable than those who rely on formal jargon or third-person detachment.

A summary that starts with “I’m a growth strategist who…” immediately communicates clarity and confidence. That’s the signal hiring managers are actually scanning for—not your full tech stack in sentence form.

The “From X to Y, I…” Framework

To keep it grounded, use this simple formula when writing your summary:

1. Start with a strong value statement: Who are you, and what do you specialize in?

2. Add 2–3 impact themes or accomplishments: Use connective phrases like “from X to Y” or “by doing A through B.”

3. End with a forward-facing hook: Signal where you’re headed and what kind of problems you solve best.

This creates rhythm, reveals results, and positions you as the solution, not just another applicant. It also prevents your summary from devolving into a glorified keyword dump.

Where AI Fits In (And Where It Doesn’t)

ChatGPT can absolutely help polish your tone and organize your thoughts. But don’t feed it your whole resume and ask it to summarize. That’s how you get vague statements like “A passionate professional with a proven track record of success.”

Instead, guide it with specifics. Use this prompt:
“Write a first-person resume summary using the following facts, keeping it under 85 words. Open with a value statement, integrate 2–3 themes from my resume experience, and close with a sentence that reflects the employer’s stated priorities from the job description.”

The result? A summary that’s clear, compact, and compelling—and that reinforces your fit without repeating your bullet points.

Your Summary Is the First Test

Hiring managers scan fast. Your summary is often the first thing they read—before they decide whether to keep going.

So ditch the buzzwords. Show them who you are, what you’ve done, and where you’re going. With intention. With language that lands.

Because if the first 85 words don’t engage, the next 800 don’t matter.

The Hidden Step That Makes or Breaks It: Gap Analysis

You’ve followed the prompts, nailed the language, and built a clean, strategic resume. So you’re done—right?

Not quite.

Even the best AI-assisted resumes can miss the mark if you skip this final step: the Gap Analysis. It’s the difference between a resume that’s solid and one that’s surgically aligned to what hiring managers are actually screening for.

Most Misses Are Invisible—Until You’re Rejected

Resumes don’t fail because they’re bad. They fail because they’re incomplete.

You might assume the hiring team will connect the dots. They won’t. You might think that your skills are “obvious.” They aren’t. Without an intentional review of what’s missing, even great candidates go overlooked.

That’s why a proper gap analysis isn’t optional. It’s the lens that shows you what your resume is underselling—or not saying at all.

Use AI to Compare, Not Create

Here’s the play: you take your final draft and prompt ChatGPT to compare it against the language, skills, and themes extracted from your 3–5 job descriptions in Step 1. This isn’t just keyword checking—it’s contextual alignment.

Use this instruction:

“You are a senior career strategist. Compare the resume below with previously analyzed job descriptions and identify missing or undersold themes. Output structured gap areas with questions the candidate should answer to fill those gaps.”

What you’ll get is a list of pointed prompts—like “Describe a time you managed cross-functional stakeholders,” or “What experience do you have with data visualization tools?”

These questions uncover dormant value you didn’t think to include—or didn’t know mattered. According to Indeed’s hiring trends, nearly 70% of employers say resumes lack role-specific context. Gap analysis fixes that.

This Step Forces Clarity—and Depth

It’s easy to coast after your first draft. But true professionals iterate.

A gap analysis helps you refine. And if you want to get even sharper, run the process twice. Feed your new answers back into ChatGPT and ask it to rewrite or upgrade your bullets using the same no-hallucination prompt you used in Step 3.

This extra pass can elevate your resume from “good enough” to undeniably qualified.

Treat This Like an Interview Rehearsal

Bonus: answering gap questions also prepares you for interviews.

The process forces you to articulate your experiences, back up your claims, and connect your past work to future roles—all of which mirror real interview dynamics. It builds fluency in your own narrative, which boosts confidence when it matters most.

Cover Letters That Don’t Sound Like Corporate Spam

Most cover letters feel like they were written by ChatGPT... in 2019.

Stale phrases, irrelevant intros, and a desperate tone wrapped in polite language. It’s no wonder most hiring managers skim them—or skip them entirely. But here’s the twist: a great cover letter still works. If it tells a compelling story the resume can’t.

The key? Narrative, not noise.

The Narrative Hook That Grabs Human Readers

Your cover letter shouldn’t introduce you. It should prove you belong.

That starts with a story—a quick, high-impact scene that puts the reader inside a moment. Think: a challenge you overcame, a big win you engineered, or a pivotal shift you drove. Then zoom out and connect that story to the company’s mission, priorities, or pain points.

This isn’t fluff. Harvard Business Review confirms that applicants who lead with a results-oriented narrative create stronger emotional and cognitive engagement with decision-makers.

The Only Two Prompts You’ll Ever Need

To make this simple, there’s a two-phase AI workflow I recommend (and teach fully here on Skool):

Prompt 1 – Draft:
“Write a first-person cover letter using the resume, job description, and career goals provided. Open with a story, integrate 2–3 value-aligned themes, and close with a forward-facing hook that speaks directly to the company’s stated needs.”

Prompt 2 – Fact-Check:
“Now review your draft. Remove or revise any line not explicitly supported by the resume, job description, or provided career context. Flag and self-correct potential embellishments or assumptions.”

This ensures you end up with a letter that’s grounded, tailored, and tonally aligned—without drifting into generic territory.

Augment, Don’t Copy—The Art of Cover Letter Layering

Your cover letter should never echo your resume word-for-word. Its job is to deepen the story. If your resume shows what you did, the cover letter should show why it mattered. If the resume lists tools, the letter should highlight decisions.

Layer, don’t repeat.

You’re creating a second opportunity to build credibility—especially with hiring managers who care about communication, culture fit, and initiative.

And here’s the unspoken benefit: a well-written cover letter signals effort. That you didn’t spray and pray. That you thought critically. That you care.

In a market where most applicants send AI-generated filler, effort is your edge.

Final thoughts: A standout resume gets you in the door. A well-crafted cover letter makes you memorable. Together, they build a complete picture: one that reflects not just what you’ve done—but who you are, how you think, and why you’re ready for more.

Ready to build your own? Access the full prompt library, templates, and AI-powered resume + cover letter workflow here.

Why This Process Works (Even If You’re Not “Techy”)

Let’s clear something up: this isn’t about becoming an AI expert.

You don’t need to know how ChatGPT is trained or what a token is. You don’t need to understand machine learning. You just need to know how to ask better questions—and give clearer instructions. That’s it.

This system works not because it’s technical—but because it’s tactical.

Speed + Strategy > Blind Effort

Most job seekers waste hours tweaking fonts, guessing keywords, or rewriting the same bullet point for the third time. They work hard—but not smart.

By contrast, this process collapses that timeline. With one well-structured conversation inside ChatGPT, you can generate, refine, and optimize a high-performance resume in under an hour. And it’s not just fast—it’s aligned.

As LinkedIn’s hiring data shows, time-to-hire is shrinking while job competition increases. This means speed alone won’t help you. Strategic precision will.

AI Resume Writing Is an Amplifier, Not a Shortcut

If you put vague, outdated, or irrelevant information into ChatGPT, it’ll give you a clean—but equally vague result. That’s not AI’s fault. That’s a prompting problem.

When you feed the model job-specific language, proof-based accomplishments, and a clear sense of your value, it acts like a professional editor—sharpening your story without changing the facts.

That’s why this system works for non-tech professionals. It doesn’t require technical fluency. It requires ownership of your inputs.

And once you see what’s possible, you stop outsourcing your self-worth to resume templates and “top 10 tips” articles.

From Passive to Proactive: The Mindset Shift That Changes Everything

Most people wait until they’re desperate to update their resume. That’s a reactive posture. It leads to rushed edits, missed opportunities, and scattered energy.

This process flips the dynamic. It puts you back in the driver’s seat.

Instead of wondering why you're getting ghosted, you're building a resume that gets traction—because it reflects what you’ve done, what you know, and what the role demands.

And that shift—from hoping to positioning—is the foundation of career momentum.

Final Word: You Don’t Need a New Degree. You Need a New Resume.

If you’re feeling stuck in your career, the default advice is predictable:
“Go back to school.”
“Get another certification.”
“Build more experience.”

But here’s the truth: most people don’t need more qualifications. They need a better narrative.

They need a resume that reflects the depth they’ve already earned—structured in a way that resonates with the people making the decisions.

Visibility Beats Volume

Your resume isn’t just a document. It’s a filter. It either gets you seen—or passed over.

According to Glassdoor, the average job post receives 250+ applications, and recruiters spend less than 7 seconds on each resume. That means your success depends less on how much experience you have—and more on how effectively that experience is presented.

If your resume doesn’t speak the language of the job, align with employer priorities, and demonstrate clear outcomes, you’ll get buried beneath people with less skill—but better framing.

Do This Now: Run a Gap Audit on Your Own Resume

Whether you’ve used this system already or are just getting started, here’s your next step:

Take your current resume and compare it to 3–5 job descriptions you actually want. Use this structured prompt workflow to identify what’s missing, what’s misaligned, and where you’re underselling your value.

Answer the gap questions fully. Then feed your answers back into ChatGPT using the No Hallucination method—and watch your resume evolve into something that finally reflects your real potential.

This isn’t busywork. It’s leverage.

You Deserve to Be Seen

You’ve done the work. You’ve built the skills. You’ve led, shipped, solved, delivered. The problem isn’t that you’re not qualified—it’s that your application doesn’t prove it fast enough.

You don’t need to wait until burnout forces a change. You don’t need another course to validate your worth.

What you need is clarity. Confidence. And a resume that gets you in the room.

Start with that. The rest compounds.

Next Steps:

• Or join the Promoted Skool Community for deeper coaching, support, and next-level career momentum.

• Ask Me Anything about resumes, job search strategy, AI Literacy, and Career Growth on Minnect

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