Dean Lee


Career development 6h
I used to think that when a man has a successful career, his wife would be proud and happy. But the more I work (and earn), the worse things get at home. My wife even said she might leave me if I don’t come home on time and spend more time with her and our child. What should I do? I don’t want to work less because I could lose opportunities.

  • Kwanza Price

    27m

    I understand both your perspective and your wife’s. We often have to choose between time and money. Perhaps have a conversation with your wife and... the two of your reassess your situation and establish goals for the household together. Perhaps you can live with less material benefit and spend more time. Hopefully, the two of you can establish a balance that works for your family. more

AJ Rosso


Career development 2w
Did I do something wrong by asking my boss for a raise? I’ve been doing the whole project alone for two months since my coworker left. But instead of answering, my boss said I should just be grateful to work in such a nice team. He even said my questions could hurt trust in the company. Should I tell him I might quit so he’ll think about raising my salary?

3   

  • Sherri Gibson

    2h

    You are way more marketable when you have a job. Better negotiations are afforded. It is too early in the project, but stick with it and give it... your all so you can reach success. Never let anyone have access to your power. Once the project is done, start your search and leave if you find something more fulfilling. more

  • Veronica Diko

    20h

    Please don't quit just yet, its too early to make such a decision considering it has only been two months. Exercise patience and complete the project... as you look for other better opportunities elsewhere if your effort is not being recognized. more

Load more...

Career development

 8h

Wild way Gen Z boss is hiring for jobs paying up to $300,000: 'How it used to be'


Kyle Hunt, CEO of healthcare consultancy HCPA, has announced 'walk-in interviews' which will offer on-the-spot job opportunities for prospective employees.

An Aussie Gen Z boss who went viral for giving staff perks like Mecca shopping sprees and free fuel vouchers has now revealed the unusual way he will be hiring dozens of new employees. The jobs are paying up to $300,000 a year, and people will... have just 60 seconds to prove themselves, he says.

Kyle Hunt is the 27-year-old CEO of Health Care Providers Association (HCPA), a Melbourne-based healthcare consulting firm. He is hiring 35 roles in sales, tech, healthcare and HR and has received more than 6,000 résumés for the jobs, which his team physically can't wade through.

"A lot of people want a role here and I want to hire a lot of people," Hunt told Yahoo Finance.

Candidates will arrive with a résumé and do a "walk-in interview" where they are given 60 seconds to pitch themselves - almost like a mix of speed dating and an episode of Shark Tank.

"Everyone gets heard rather than their resume being missed. And if we love them, we'll interview them then and there and hire them if they're the right fit," Hunt explained.

"That way, in a day, we could probably knock out a lot of these roles and people get the opportunity to even come in and pitch us."

Do you have a story to share? Contact tamika.seeto@yahooinc.com

Hunt said a CV was only a small part of who someone was, so he hopes allowing people to come in and express who they are face-to-face will be more valuable.

"Think of it like an in-real-life résumé where it's them, it's not just some words on the paper," Hunt said.

The initiative reflects his own unconventional path to success. Hunt was raised in foster care and lived with more than 30 families by the age of 16.

He started HCPA when he was just 19 and had no prior experience in the corporate world. He now has around 130 employees.

While the perks on offer for staff are one big drawcard for potential employees, Hunt said another component is the career progression.

"People are getting management positions in months rather than years. People are going to director positions in a year rather than over a decade," he claimed to Yahoo Finance.

"Being able to bring people along a very fast-paced mission, is what people want as well. Rather than gifts here and there, it's actually a bit of purpose and extreme career progression." more

Career development

 8h

Wild way Gen Z boss is hiring for jobs paying up to $300,000: 'How it used to be'


Kyle Hunt, CEO of healthcare consultancy HCPA, has announced 'walk-in interviews' which will offer on-the-spot job opportunities for prospective employees.

An Aussie Gen Z boss who went viral for giving staff perks like Mecca shopping sprees and free fuel vouchers has now revealed the unusual way he will be hiring dozens of new employees. The jobs are paying up to $300,000 a year, and people will... have just 60 seconds to prove themselves, he says.

Kyle Hunt is the 27-year-old CEO of Health Care Providers Association (HCPA), a Melbourne-based healthcare consulting firm. He is hiring 35 roles in sales, tech, healthcare and HR and has received more than 6,000 résumés for the jobs, which his team physically can't wade through.

"A lot of people want a role here and I want to hire a lot of people," Hunt told Yahoo Finance.

Candidates will arrive with a résumé and do a "walk-in interview" where they are given 60 seconds to pitch themselves - almost like a mix of speed dating and an episode of Shark Tank.

"Everyone gets heard rather than their resume being missed. And if we love them, we'll interview them then and there and hire them if they're the right fit," Hunt explained.

"That way, in a day, we could probably knock out a lot of these roles and people get the opportunity to even come in and pitch us."

Do you have a story to share? Contact tamika.seeto@yahooinc.com

Hunt said a CV was only a small part of who someone was, so he hopes allowing people to come in and express who they are face-to-face will be more valuable.

"Think of it like an in-real-life résumé where it's them, it's not just some words on the paper," Hunt said.

The initiative reflects his own unconventional path to success. Hunt was raised in foster care and lived with more than 30 families by the age of 16.

He started HCPA when he was just 19 and had no prior experience in the corporate world. He now has around 130 employees.

While the perks on offer for staff are one big drawcard for potential employees, Hunt said another component is the career progression.

"People are getting management positions in months rather than years. People are going to director positions in a year rather than over a decade," he claimed to Yahoo Finance.

"Being able to bring people along a very fast-paced mission, is what people want as well. Rather than gifts here and there, it's actually a bit of purpose and extreme career progression." more

Career development

 12h

The rise of the generalist - Silicon Canals


According to the World Economic Forum, 39% of core skills will change by 2030. Nearly half of what employers value today will be outdated within a few years. And the fastest-rising skills after AI literacy aren't specialist credentials -- they're creative thinking, resilience, flexibility, curiosity, and lifelong learning. Generalist instincts, in other words. The kind of traits you develop by... moving across fields, not by drilling deeper into one.

I read that and felt something click. Because I've been a finance guy, a teacher, a manager, a founder, and a writer. For most of my career, that looked like a scattered résumé -- the kind that makes recruiters raise an eyebrow and politely ask, "So... what exactly do you do?"

That résumé doesn't look so scattered anymore.

Something has shifted. The thing that can specialize better than any human has arrived. AI can code, diagnose, draft, and analyze, all faster and cheaper than a person working in a single lane.

So the question isn't who knows the most about one thing anymore. It's who can think across many things.

That's the generalist. And it seems their moment has come.

The World Economic Forum's Future of Jobs Report 2025 paints a pretty clear picture. It found that 39% of core skills will change by 2030. That's not a small shift. That's nearly half of what employers value today becoming outdated within a few years.

And what are the fastest-rising skills after AI literacy? Creative thinking, resilience, flexibility, curiosity, and lifelong learning. Those aren't specialist credentials. They're generalist instincts. They're the kind of traits you develop by moving across fields, not by drilling deeper into one.

The same report estimates that 92 million jobs will be displaced by 2030, while 170 million new ones will be created. The ones disappearing are narrow and routine. The ones emerging reward exactly what AI can't replicate: synthesis, adaptability, and the ability to connect dots across disciplines. I think about this a lot. When I was crunching numbers in finance, I never imagined I'd end up in a classroom teaching English. And when I was teaching, I certainly didn't picture myself writing articles like this one. But each of those shifts forced me to develop new skills, new ways of thinking, and new ways of communicating with completely different audiences. That's the pattern the data keeps pointing to -- range isn't a liability, it's preparation. The people who move laterally aren't losing ground. They're building the exact kind of cognitive flexibility that a rapidly shifting economy demands. And the more AI narrows the value of deep-but-rigid expertise, the more that flexibility starts to look like the real competitive advantage.

Here's something that might surprise you. When Harvard researchers studied who solved the toughest problems, they found that the further a solver's background was from the problem's domain, the more likely they were to crack it.

Let that sink in for a second.

The people who knew the least about the specific field were the ones most likely to find a breakthrough solution. Not because they were smarter, but because they saw the problem differently. They weren't trapped by the assumptions that come with years of deep specialization.

In a world being reshaped by AI every few months, might the most dangerous thing you can be is someone who only knows one thing deeply and can't let go of it?

If the generalist advantage were just an interesting theory, that would be one thing. But it shows up in the data on the most successful people in the world.

A landmark study of every Nobel laureate from 1901 to 2008 found that prize winners were around "nine times more likely to have training in crafts such as wood- and metalworking or fine arts than the typical scientist". These are the best scientists on the planet, and what set them apart wasn't just their science. It was their range.

They didn't succeed despite their breadth. They succeeded because of it.

Steve Jobs understood this well. In his famous Stanford commencement speech, he talked about how you can only connect the dots looking backward. A calligraphy class he took seemed pointless at the time, but years later it shaped the beautiful typography of the Mac. He couldn't have planned that. But it happened because he had range, not because he stayed in one lane.

And this isn't just about outliers. Author of Range, David Epstein has noted that LinkedIn data on half a million members suggests that one of the strongest predictors of reaching an executive role was the number of different job functions someone had worked across. Not depth in one lane. Breadth across many.

That finding hit home for me. I used to look at my career history and see a series of restarts. Finance to teaching. Teaching to management. Management to founding something of my own. Founding to writing. Each time, I felt like I was starting from scratch, losing the progress I'd made in the previous chapter.

But maybe I wasn't losing anything. Maybe, I was accumulating range.

If you've ever felt like your résumé is too scattered, like you should have just picked one thing and stuck with it, I get it. I felt that way for years. But the evidence is clear: the people who move across fields, who cultivate curiosity over credentials, and who see the world through more than one lens are the ones best equipped for what's coming. more

Career development

 12h

Why Am I Not Hearing Back from Jobs? The Truth About ATS Filters and Employer Ghosting in 2026


The most frustrating part of job hunting in 2026 is not rejection, it is silence.

You tailor your resume, write the cover letter and submit the application. Then nothing happens.

No response can mean several different things: your resume failed an ATS screen, a recruiter never reached your application, the role was overwhelmed with applicants, or the company simply ghosted.

Ghosting is becoming... more common, not less. More than half of job seekers reported being ghosted in the last year alone.

This guide explains where applications actually go after you hit submit and how to improve your chances of hearing back.

Before we talk about ATS, let's start with the most uncomfortable truth.

In 2024, employers received an average of 180 applicants for every hire they made, based on an analysis of over 10 million job applications at 60,000+ small businesses. At larger companies and for remote roles, that number climbs far higher. Entry-level and customer service roles average 400-600 applicants. Remote tech and support jobs often exceed 1,000 applicants in the first week. Software engineering roles can hit 2,000+ before screening begins.

That is not a typo. Two thousand resumes, one job opening.

Recruiters are not ignoring you personally, they are drowning. Internal Greenhouse data shows that recruiter workload increased by 26% in the past quarter alone, partly because AI tools have made it easier than ever for candidates to apply for jobs, with 38% of job seekers mass-applying to roles.

When a single recruiter manages 50 open roles and hundreds of daily applications, something has to give. What gives is communication. In a survey of 1,024 candidates, the top reason for ghosting was "after submitting my application" (28%), followed by "after one interview" (20%) and "after an initial phone screen" (16%).

This means most ghosting happens right at the point where your resume hits the inbox, before you ever speak to anyone. Your application disappears into what job seekers call "the black hole."

Here is where a lot of job seekers get the wrong idea.

The popular claim that "75% of resumes are automatically rejected by ATS before a human ever sees them" is widely repeated on LinkedIn and TikTok. But this statistic traces back to a defunct company that has not been in business since 2013, and it has been professionally debunked by HR experts and consultants.

The truth is more nuanced and actually more useful to understand.

An Applicant Tracking System is software that helps companies organize and manage large numbers of applications. ATS platforms allow recruiters to filter for certain candidates (such as those with 2+ years of experience), score candidates based on set criteria, and track the progress of applicants through the hiring process.

Nearly 98% of Fortune 500 companies use ATS platforms as part of their recruiting process. But here is the part that matters for you as a job seeker.

A 2025 study by Enhancv interviewed 25 U.S. based recruiters across industries and found that 92% confirmed their ATS platforms do not auto-reject resumes based on formatting, design, or content. Only 8% said their system was configured to automatically reject resumes based on content or match scores.

While 44% of systems offer AI "fit scores," 56% of recruiters either disable the feature or disregard it. Only 8% use it as a hard filter.

So ATS is not the mechanical gatekeeper most people imagine. It does not scan your resume, award you a score of 47 out of 100, and automatically dump you in the trash.

There are two real ATS-related ways your application disappears.

This is the real ATS problem, not auto-rejection or invisibility.

Imagine a recruiter opening Workday or Greenhouse and typing "project manager PMP agile" into the search bar. If your resume says "led cross-functional teams using iterative delivery methods" instead of "PMP-certified project manager with agile experience," you will not appear in results.

ATS systems do not always recognize synonyms, abbreviations, or alternative wording. If your resume says "Adobe Creative Cloud" but the job description says "Adobe Creative Suite," your resume might not appear in search results, even though you have the exact skill set they want.

This is why tailoring your resume to each job posting is not optional, it is the baseline.

Here is a reason you may be getting no response that has nothing to do with your resume at all.

About 81% of recruiters said their employer posts "ghost jobs", roles that either do not exist or have already been filled.

Why? About 38% of recruiters reported posting fake positions to maintain a presence on job boards when they are not actively hiring, 36% did so to assess the effectiveness of their job postings, and 26% hoped to gain insight into the job market and competitors.

Greenhouse data shows that in any given quarter, 18-22% of the jobs posted on their platform are classified as ghost jobs.

If you are applying to a ghost job, no amount of resume optimization will get you a response.

According to Jobright analysis of 4.4 million job applications:

If you see these patterns, move on quickly. Do not invest hours customizing your application.

Even a perfectly optimized resume gets buried if it arrives too late.

52% of recruiters say applying within the first 48-72 hours significantly boosts visibility, as many pause postings or fill shortlists early.

Most job seekers wait. They see a posting, they think about it, they spend two days perfecting their resume, and then they submit. By then, the recruiter has already shortlisted their first 20-30 candidates and is not reviewing new applications with the same attention.

Speed does not mean carelessness. It means having a strong, tailored resume ready to go so you can apply fast.

Here is the frustrating math of the modern job search.

Research shows many job seekers submit anywhere from 32 to over 200 applications before receiving an offer, with most online applications resulting in a 0.1%-2% success rate.

You need volume. But you also need tailoring. Sending the same generic resume 200 times is not a strategy, it just generates 200 rejections faster.

And yet, spending 30-45 minutes tailoring your resume and cover letter for every application is not sustainable either. The average active job seeker cannot realistically customize 100 applications at that rate without burning out.

This is the trap most job seekers are stuck in: not enough applications to get traction, or not enough tailoring to get responses.

Tailoring resumes works, but it takes forever. Spending 20-30 minutes tailoring each resume means 50-100 hours just on resume customization during an active search, and that is before you account for the time spent searching across multiple job boards, opening dozens of tabs, and filtering through duplicate or irrelevant listings.

FastApply solves the quality vs. volume problem directly. The Chrome extension reads each job description and automatically tailors your resume to match. Keywords get aligned to the posting. Relevant experiences move to the top.

It also simplifies job discovery by bringing 800,000+ listings from multiple platforms into one place, so you can find relevant roles and move directly into applying without repeating the same searches across tabs.

Before submission, FastApply pauses. You review the tailored resume, make adjustments if needed, and approve.

A 30-minute manual tailoring process becomes a 3-minute review. You apply to more roles without sacrificing the quality that actually gets responses.

FastApply works across the platforms where most jobs live: Indeed, Glassdoor, Lever, Greenhouse, and Workday. It also generates cover letters and tracks your applications, so you always know where you stand.

After cutting through the myths, here is what the data actually supports.

Not hearing back does not always mean rejection. After 5-7 business days, send a brief, professional follow-up email to the recruiter (find them on LinkedIn). Keep it to two sentences: confirm your interest and ask if there is anything additional they need. This alone puts you ahead of the vast majority of applicants who never follow up. more

Career development

 13h

Women Offshore taps a Vibrant Workforce Base for Maritime & Offshore


From attracting the 'next generation' at a young age, to mentorship and job service, Women Offshore is an organization that seeks to help plug the workforce gaps - present and looming - in the maritime and offshore sectors. Liz Schmidt, Executive Director, Women Offshore, discusses the organization and its activities in the round with Maritime Reporter TV.

In an industry that has spent... generations trying to solve its own labor problem, the answer has often been sitting in plain sight. Not hidden. Not unknown. Just underutilized.

That's the premise, perhaps the urgency, behind Women Offshore, a U.S.-based nonprofit with a global footprint that is working to open doors and connect people.

At the center of that effort is Liz Schmidt, an industry insider by experience, but not by design.

Schmidt's path to the executive director role is not the traditional maritime résumé -- and that's precisely the point. "I have been involved in the marine industry as a whole, so to speak, for pretty much my entire life," she says. "I grew up boating on Lake Superior and the Great Lakes ... but like a lot of people, the maritime industry was never really shown to me as a career; especially not as a lucrative career for women."

Instead, Schmidt cut her teeth in the nonprofit sector, working with organizations like the Red Cross and the YMCA, building programs, raising funds, and learning how to operate mission-driven organizations. It was work that would later prove invaluable.

The pivot came, as it did for many, during the disruption of COVID-19. But the groundwork had already been laid. A move to Fort Lauderdale, a center of global yachting, opened the door.

"I got introduced to this very cool part of the marine industry," she says. "And I thought, I want to work on those. I want to see what that's like."

What followed was a hands-on immersion: deck work on yachts up to 120 feet, vessel deliveries, tow operations along the tight waterways of South Florida, even time on passenger vessels. She earned her captain's license. She worked. She learned.

And she built something of her own along the way, becoming a partner in Shipyard Supply USA, a manufacturer serving large yachts worldwide.

Then came the call. "A maritime recruiter reached out and said, 'We have a job that aligns exactly with your credentials.' That's when I was introduced to Women Offshore and the work they were doing."

She's been there ever since.

Women Offshore operates without the traditional trappings of a trade association. There are no dues for mariners. No barriers to entry. No gatekeeping.

Instead, it functions as something far more dynamic: a connective tissue across a fragmented global workforce.

"We are a full 501(c)(3) nonprofit organization based in the U.S., but we have a global reach," Schmidt explains. "We work with mariners all over the world."

That reach is not theoretical. It's measurable.

Through a combination of digital platforms, storytelling, and direct engagement, the organization touched more than one million individuals last year alone. Its social media channels -- particularly Instagram, Facebook, and LinkedIn -- serve as both a showcase and a signal.

"We highlight women who are doing these jobs offshore," Schmidt says. "It helps others see that they're not the only ones -- and for future mariners, it shows what's possible."

That visibility matters more than most in an industry where representation has historically been limited. Complementing that effort is a twice-monthly podcast, featuring voices from across the maritime spectrum -- officers, engineers, executives, cadets -- offering both perspective and, at times, hard-earned lessons.

And then there are the ambassadors. "We currently have nine ambassadors across the globe," Schmidt notes. "They represent different sectors of the industry and different regions, and they help us stay connected to what's actually happening offshore."

It's a feedback loop, by design.

If there is a single through-line in the workforce discussion today, it is this: recruitment gets the headlines, but retention keeps the lights on. Women Offshore has leaned into that reality.

Its mentorship program, open on a rolling basis, connects mariners at every stage of their careers -- cadets, junior officers, seasoned professionals -- often in both one-on-one and cohort formats. But it is the organization's career services program that Schmidt points to as the most impactful.

"We offer career coaching sessions at no cost," she says. "And that's for people entering the industry, or those looking to transition."

That transition -- offshore to shoreside -- is where many careers stall.

"What we find is there's not a lot of resources available to mariners about how to do that," Schmidt explains. "How do you translate your CV into a resume? How do you talk about your offshore experience in an interview for a shoreside job?"

These are not trivial gaps. They are systemic ones.

And they matter, particularly as younger mariners enter the workforce with a different set of expectations.

"We're hearing cadets already talking about their five- or 10-year plans," Schmidt says. "'I'll go offshore, but I know I want to come shoreside.' So we're helping them think about that early."

In a sector facing a well-documented workforce shortage, that kind of planning is not a luxury, it's a necessity.

To be clear, Women Offshore is not a recruiting firm, but in practice, it often functions as something close. "We act as a super networker," Schmidt says. "We're connecting companies with mariners, helping both sides understand each other better."

On one side, companies looking to fill critical roles, sometimes struggling to find qualified candidates. On the other, individuals navigating a complex and often opaque hiring landscape.

"We might say, 'There's a great job at this company. We know the HR team. Let's get you connected,'" Schmidt explains. "And when we can bridge that gap directly, we're seeing success."

That success is not measured in placement fees or commissions. It's measured in outcomes.

Perhaps the most significant, yet least visible work done by Women Offshore has been at the policy level.

Schmidt points to the organization's role in advancing the SAVE Act as a defining achievement.

"The SAVE Act is landmark legislation," she says. "It requires additional safety measures on Jones Act vessels ... things like video monitoring, master key control ... designed to prevent sexual assault and violence onboard." It's a sobering topic, but one that could no longer be ignored. The legislation, now law, has begun to reshape safety protocols across the U.S. fleet -- and, notably, beyond it. "We're seeing companies adopt these measures on vessels outside the U.S.," Schmidt says. "Because it's simply good practice."

The work didn't stop with passage.

Women Offshore has also collaborated with the United States Coast Guard Investigative Service to improve reporting and response mechanisms, helping ensure that incidents are not only reported, but investigated.

"There was, and still is, apprehension about reporting," Schmidt acknowledges. "But there's now a clear process. A flow chart. Mariners can see what happens when they make that call."

For all of its programs, metrics, and policy wins, Women Offshore remains, at its core, a simple idea executed well. Access. "We want to create an industry where all individuals are able to succeed," Schmidt says. Not just enter, but stay. more

Career development

 14h

Condescending Man Barely Paid Attention To A Candidate During A Job Interview, So Twenty Years Later, The Roles Were Reversed And The Candidate Rejected The Interviewer's Bid


Life has a strange habit of circling back to unfinished business.

So when a corporate decision-maker was approached by a small business consultant who once blew him off in a job interview 20 years ago, it was like the past walked straight into his office.

And he made sure the meeting felt just as uncomfortable as the first one.

Keep reading for the full story.

Around 1990, I was looking to... change jobs and landed an interview at a large broking firm.

This applicant didn't exactly get the best first impression from this place.

When I got there, right from the start it was clear that the guy interviewing me wanted to be anywhere but doing this.

He wouldn't make eye contact and looked uninterested as I talked through my experience and areas of knowledge.

Luckily, the applicant was confident in his abilities and his appearance.

I knew it wasn't me because I had always been good in interviews. I was relaxed and confident without being cocky or arrogant.

I was dressed smartly in a business suit, etc.

Before long, the applicant started wishing he never even showed up at all.

The interview didn't last long and was punctuated by him looking at his watch and staring out the office window.

I never understood why he didn't just call ahead and cancel the interview if there was no prospect of hiring me.

So eventually, he got on his way and found something else.

Anyway, I wasn't desperate and left thinking I would not like to work for such a jerk.

So twenty years pass, and I am now working for a large corporation in charge of commissioning professional services and the like.

But then he finds himself face to face with this guy again.

Jerkface has struck out on his own and now has a small business consultancy.

He contacts me to run through a sales pitch, obviously not remembering who I am.

So he decides to jog this guy's memory -- and it left him stammering.

As soon as he arrived, I reminded him of the strange interview and that I didn't get hired.

To my great amusement, this threw him off course, and there followed a lackluster run-through of his company's services.

I listened through it all without making any comment.

At the end, I just said, "Thanks, I'll let you know if I need anything." 😌

Revenge is best served cold, after all!

What did Reddit think?

Treating people with respect is always the safest policy.

Patience pays off.

This commenter imagines what would happen if they met yet again.

And that's how you play the long game, folks!

If you liked that story, check out this post about an oblivious CEO who tells a web developer to "act his wage"... and it results in 30% of the workforce being laid off. more

Career development

 15h

HRTech Interview with Ophir Samson, Founder and Chief Executive Officer, Ezra - HRTech Cube


Prioritize human judgment over binary AI scores. Authenticate talent through voice patterns while defending against sophisticated deepfake fraud.

As the founder and CEO of Ezra, what personal experience or moment first pushed you to rethink how hiring systems listen, evaluate, and verify candidates at scale?

Each time I hired people in my prior roles, I felt immense intimidation staring at... hundreds of résumés, because I doubted the quality of the signal I got from a piece of paper. I've also been the candidate sending out résumés, feeling judged by something that's so flat and lifeless. The first time I experienced voice AI it felt like a truly magical experience (and I'm a professional magician, so that bar is high!). I realized voice could give candidates a chance to tell their story beyond the résumé, and give recruiters a richer understanding of who people actually are. That's what pushed me to build Ezra: let candidates be heard, not just read.

Ezra recently identified a highly convincing deepfake avatar that even seasoned recruiters missed -- what specifically did your platform detect that human judgment did not?

Our system is trained to recognize artifacts from the primary AI generation models used to create deepfakes - signatures that human reviewers simply can't spot in real-time. In this case, it flagged unusual blurring around the edges of the face, unrealistic motion in the clothing and hands, and significant lip-syncing delays without any network instability that would explain them. Any one of these signals in isolation might be acceptable - a bad camera, poor lighting, connectivity issues, etc. - but when multiple indicators trigger simultaneously, that's highly suspicious. Human judgment looks at the whole picture and often misses these micro-patterns, our models are built to catch exactly those combinations.

After testing multiple deepfake-detection vendors and seeing wildly different results, what did that process reveal about the current reliability of the deepfake detection market?

The gap between what vendors claim and what they actually deliver is enormous. Most don't provide statistical evidence for their detection rates: many promise accuracy without showing whether they can actually catch deepfakes in practice. It's important to remember that these models are only as good as the data they're trained on, so you must test with your own real-world scenarios. If you're screening candidates, you need to test with actual interview videos (both real and fake) and measure how often it misses fakes (false negatives) and how often it flags real people as fake (false positives). Without that testing, you're flying blind, and we learned some vendors can't handle that scrutiny. We didn't want our customers to guess whether their fraud detection actually works, so we did this evaluation for them.

You often challenge binary "real or fake" labels -- what does a high-quality, trustworthy deepfake assessment look like in a real hiring workflow?

A trustworthy deepfake assessment doesn't give you a binary verdict. Instead, it surfaces multiple signals in a way that's compliant with applicable law and designed to avoid AI bias and discrimination. The recruiter always has the final judgment; our role is to flag patterns that deserve a closer look. At Ezra, we've invested heavily in doing this ethically and staying compliant, because the stakes are too high to get it wrong. There's often grey area in the analysis, and no tool will ever be 100% accurate, so human judgment must remain central. The best workflow is humans and AI working together: the AI says "this one is giving suspicious vibes," and the recruiter reviews the evidence and makes the call.

How do probabilistic judgments with supporting evidence change the experience and protection of both candidates and employers compared to rigid pass/fail outcomes?

Probabilistic judgments with supporting evidence ensure genuine candidates stand out while keeping humans in the loop. This is critical because this technology is still nascent and I believe candidates deserve human review. Also, recruiters don't want AI replacing what they do best, which is applying judgment, and legally it's important that they're actively involved in the decision-making process, not just rubber-stamping automated verdicts. So when the assessment isn't binary, it draws recruiters into the evidence and context, making them active participants rather than just passive observers. This also means recruiters learn the latest fraud methods used by fraudulent candidates, thus becoming sharper and more informed with every flagged case. This is a perfect example of how Ezra upskills recruiters instead of replacing them.

In live interviews today, what forms of fraud are appearing most frequently, and which ones are evolving faster than recruiters expect?

At the application stage, we're seeing massive volumes of stolen or replicated LinkedIn identities, candidates pretending to be other people, and VoIP phone numbers that rotate to avoid detection. During live interviews, the fraud gets more sophisticated: lip-synced videos where a real person's face is manipulated with AI-generated mouth movements and speech, or entirely synthetic avatars conducting the interview. The goals range from opportunistic (collect salary until fired, steal the laptop, harvest benefits, etc.) to organized crime and state-sponsored operations funneling money back to foreign regimes. What's evolving fastest are the deepfakes and real-time AI script readers, which have become so convincing that recruiters identify them correctly only 10-20% of the time. Six months ago, our cheat detection flagged under 5% of candidates reading from AI tools; today it's nearly 25%.

Beyond voice manipulation, what behavioral or conversational patterns are proving most useful in identifying synthetic or assisted candidates?

We analyze prosodic and paralinguistic patterns - rhythm, intonation, pauses, speech flow, etc. - using models we've trained on thousands of hours of audio comparing scripted versus spontaneous speech. Scripted responses show things like perfectly structured sentences, no filler words, and unnaturally consistent pacing, while genuine conversation includes hesitation and self-correction. We share these fraud signals with recruiters as purely informational flags - they're about detecting cheating, not evaluating talent, so they never influence how candidates are scored or ranked.

When evaluating hiring technology, what signals or transparency should HR teams demand from vendors to avoid blind spots in fraud detection?

HR and TA teams should ask vendors for accuracy metrics that include both false positive and false negative rates. Insist on testing the technology with your own real-world data, because models trained on generic datasets often fail when applied to specific use cases like candidate interviews. Ask vendors to show examples of the data their models were trained on so you can verify it's similar to what you'll actually be evaluating. And, explainability is critical: a vendor shouldn't just hand you a "risk score" without context, rather they should explain in plain language how and why that score was generated. Without transparency on these points, you're trusting a black box, and that naturally creates blind spots.

As deepfake risk increasingly touches recruitment, how should responsibility be shared between HR, IT, legal, and compliance teams?

Naturally, HR, IT, legal, and compliance all have a role in ensuring any AI tool passes all necessary compliance requirements before deployment. IT and compliance should verify that vendors demonstrate robust security practices (e.g., SOC 2 certification, completed penetration tests, proper data handling protocols, etc.). Legal must establish clear guardrails: AI should never make hiring decisions autonomously; that authority must always remain with human recruiters. HR owns the workflow but needs compliance and legal sign-off on how fraud detection integrates into their process without creating discrimination or liability risk. AI tools are powerful, but responsibility for using them ethically, legally, and transparently has to be shared across all four functions.

Looking ahead, how do you see voice-first hiring platforms reshaping trust, fairness, and accountability in AI-driven recruitment over the next few years?

Voice-first platforms can understand candidates far better than résumés ever could -- you're hearing how they think, communicate, and reason, instead of judging them by a piece of paper. This creates consistency that traditional recruiting just doesn't have: candidates get the same high-quality experience whether they're interviewed at 9am Monday or 4pm Friday, eliminating the variability that comes with recruiter fatigue or mood. We're passionate about using voice to give every candidate a real opportunity to make their case and stand out, which is nearly impossible when everyone's résumé has been AI-polished to perfection. As trust in written applications erodes due to AI manipulation, voice becomes a far more reliable signal. The future is giving more people a fair shot to be heard, not just read!

A quote or advice from the author

"Voice is becoming the most reliable signal we have in hiring because résumés can be polished by AI, but conversation reveals how someone actually thinks. Give candidates a chance to be heard, not just read, and invest in the fraud detection to protect that opportunity. The future of fair hiring depends on both." more

Molly Winslow


Career development 2d
Because of my studies and family situation, I’ll have to switch to fully remote work. Do you think it’s still possible to grow in my career if I don’t show up at the office? Or will people just forget about me?
2   

  • Allan Kinyua

    15h

    Report to the office once in a while and stay connected with people there

  • eunice nyumu

    1d

    You need clients. Try your best to be connected

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Career development

 15h

How To Ace An Interview


Once you've had the job interview confirmed, you may wonder how to ace an interview. You can consider following the steps below to perform at your best.

Once a company has offered you an interview, you can research the company to build up your knowledge of them and what their business involves. Interviewers like to ask the question,'what do you know about the company?' Whilst they may not expect... you to have in-depth, expert knowledge, being able to give a brief and accurate description can show your knowledge and reaffirm your interest in joining them. You can browse the company website to find about the culture and values. They may also have social media profiles detailing recent news and announcements.

The job description for the role you applied for can give good clues as to what the interviewers may expect when meeting you. Job listings often detail the role responsibilities, so try to think of some examples of how you have dealt with similar responsibilities in previous roles. Additionally, they may list some of the desired skills, so try to think about how you can demonstrate that you possess these skills.

There are several forms of interview questions that employers frequently ask, so it's a good idea to practice answering them if they come up. Common interview questions can range from basic ones like,'tell me a little bit about yourself',to more complicated ones such as,'if you could compare yourself to any type of biscuit, which one would you be?'.Researching and familiarising yourself with common interview questions can help you formulate structured and compelling answers that may impress your interviewer.

There are also certain interview questions that require you to follow the 'STAR' method. This stands for situation, task, action and result.The specific questions are usually easy to spot, as they start with a sentence like,'Give me an example of a time when...'.You can begin by describing the situation, then explaining the task that you had to do. After that, you can state how you addressed approaching the task or challenge, before detailing the outcome and end results. They often form the basis of competency-based interviews, where employers ask several 'STAR' method questions consecutively.

Your interviewer may take their initial impression of you based on what you are wearing, so you may wish to plan an appropriate outfit for your interview. Typically interviewees wear either business casual attire or smart business to an interview. If you are unsure, try looking at the company website or social media profiles to understand the company dress code. You can also phone or email ahead to ask what the dress code is, which can show employers your appreciation for wanting to dress appropriately for the meeting.

At the end of your interview, your interviewer may likely make time to answer any questions that you have. Asking questions at the end of your interview shows your interest and value in the role and company. It is advisable to have some prepared and informed questions ready to ask if you can't think of any specific questions during the interview. Some good questions to ask include,'If you give me the role, where could I be in five years?'and'What do you like about working at this company?'.

It can be useful to bring a notepad and pen to your interview, in case there are any important pieces of information that you want to note down. If you like, ask your interviewer if it's okay for you to take notes during the meeting, as this can show your desire to learn about the role and your dedication to retaining all information that your interviewer gives to you. In addition, it is advisable to bring a paper copy of your resume, in case your interviewer asks to see it again.

Here are some examples of common questions to expect in your interview.

Interviewers often start with this question to learn about your background. When you answer, try beginning by mentioning where you are now before briefly explaining how you advanced to your current position. By following this approach, you can establish your professional history and emphasise the most important aspects.

Employers typically ask about your strengths and weaknesses to learn more about areas where you excel and where you could improve. When you respond, mention your best technical and soft skills. To discuss your weaknesses, try to choose an area where you have already taken steps to improve. Using this strategy can allow you to add a positive aspect to a question that has the potential to be negative.

Hiring teams often include this question in interviews to determine how well you understand the job and the company. When you receive this question, you may have an opportunity to demonstrate how much you have researched the organisation and the job opening. In your answer, try mentioning the company's mission or accomplishments and the unique opportunities that the position offers.

Interviewers usually want to find out if you're suited for the role, but they may also want to learn about your hobbies and passions outside of the working environment. This way they can observe if you are a team player and can balance your personal and professional well-being. Try mentioning a few interests that you like to do in your spare time, along with a brief description.

Interviewers may ask this direct question to prompt you to explain why you are the best candidate for the job. In your response, try emphasising your skills, experience and accomplishments while explaining how well your objectives fit with the company's goals. You can also mention your achievements throughout your most recent role. more

Career development

 16h

Job Application Submission Assistant


I need reliable help submitting large volumes of job applications for AI/ML Engineer positions on behalf of my company. Your main responsibility is pure data entry: taking our prepared résumé, cover letter, and short screening answers and accurately pasting or uploading them into each employer's online form or email, then take screenshots of the submission and report to me. Here's how the workflow... looks: * You need to find a list of openings (mostly remote AI/ML Engineer roles) and you note the company name, job title, date in a Google Sheet. (At least 50-100 applications daily) * You log in with the email I provide, complete every required field exactly as shown, attach the correct documents, and hit submit. * We provide resume generation tool and you need to generate every resumes for each application. (Tailored bid) * Take screenshot before hitting submit and report to me at the end of the day. Speed matters, but accuracy matters more -- misspelled names or skipped questions get applications rejected. Familiarity with common job boards (Indeed, LinkedIn, ZipRecruiter, company career portals) will make your day smoother, yet the task itself is straightforward data entry. At the end of each shift I expect the updated spreadsheet plus confirmation of how many applications went out. If you're detail-oriented, comfortable handling repetitive submission work, I'm ready to get started right away. more

Career development

 16h

HR Screening & Onboarding Support


I'm looking for an HR partner who can jump straight into our applicant pipeline, turn warm leads into scheduled interviews, and then shepherd the successful candidates through a smooth onboarding experience. Your core focus will be: * Screening candidates - review résumés, run quick phone or video screens, and present short-listed profiles with clear notes on fit. * Onboarding new employees -... coordinate paperwork, first-day logistics, and orientation so each hire feels set up for success. Most of the roles are technical, so familiarity with common programming stacks, system architecture basics, and database terminology will help you ask the right qualifying questions, though the real priority is your human-resource expertise and ability to assess soft skills. I already have a steady stream of applicants in our ATS; I simply need you to move them efficiently through the funnel, keep all stakeholders updated, and maintain meticulous records inside the system. If we click, we can expand the scope to include full interview hosting and other HR projects. Deliverables I'll review weekly: 1. Updated candidate pipeline with status tags 2. Two-to-three interview-ready profiles per open role 3. Completed onboarding checklist for each new hire Let me know your relevant HR experience, the screening tools you prefer (e.g., Workable, Lever, BambooHR, Google Workspace), and how quickly you can start. more

Anonymous member


Career development 1d
I had a job interview yesterday and most of the questions weren’t about my experience or skills, but about my personal life. They asked about my boyfriend, our plans and even our intimate relationship. I’m shocked. Is it normal to ask things like that?
I feel really uncomfortable and gross after they basically dug into my private life

2   

  • Patrick Igbana

    13h

    What could be the position you were being interviewed for? Maybe the interviewer needed a partner. Other wise, those questions were not for regular... interviews more

  • Dorothy Awuor

    13h

    This is not normal, probably the interview panel had no idea about the job requirements

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Career development

 19h

11 Options For The Best AI Tool For Executive Resume: ATS-Ready Builders Compared


Blink and your executive résumé is already on the next screen. Recruiters give most files about eight seconds of attention, and 90 percent of hiring managers welcome AI-assisted polish. In a market where applicant-tracking systems reject documents before humans see them, the right AI can surface crisp metrics and targeted keywords that keep you in play.

This guide compares 11 AI résumé platforms,... each tailored to a specific executive need -- clearing ATS filters, drafting fast, sharpening brand visuals, running a stealth search, or auditing a final pass. Read on and turn those eight seconds into an interview invite.

How we tested, and why this guide is sorted by need not ego

You deserve a review process as rigorous as the board packet you present each quarter. We built a six-factor scorecard, ran real executive executive résumés through every platform, and pushed each download through modern applicant-tracking software.

First, we mapped the landscape. Our team scraped Google, Reddit, G2, and SHRM white papers, then shortlisted tools with active releases from 2024 to 2026 and verifiable AI features. Any builder that forced a public link or limited résumés to one page was cut.

Next came hands-on sprints. We fed each tool a seasoned CFO résumé, toggled every AI switch, and watched for three non-negotiables: leadership tone, hard metrics, and clean parsing. If a platform failed an ATS gateway on the first export, it lost major points -- over 98 percent of Fortune 500 companies rely on those filters (jobscan.co).

Finally, we scored six weighted criteria. ATS alignment and leadership content topped the list, followed by value. Paying twenty dollars for a month of unlimited tailored résumés beats waiting a week for a four-figure writer.

The results were clear: each standout platform solves a specific pain point. Ranking them in one linear list made no sense, so we grouped winners by what they do best -- beating bots, drafting fast, branding, tracking, or auditing.

Think of the next sections as a decision tree. Choose the challenge that keeps you up at night, and you will find the right AI co-pilot waiting.

Segment A | Beat the bots: tools that slip past the algorithm gatekeepers

Hiring software never blinks. It parses headers, counts keywords, and tosses anything it cannot decode. That single step blocks many applicants, and more than 98 percent of Fortune 500 companies rely on these systems to screen résumés (jobscan.co).

Our first stop is a trio of AI helpers built to satisfy those filters. Each treats your executive résumé like structured data, auditing every heading, date, and verb until the file reaches a recruiter intact.

Rezi: our top pick for ATS precision

Rezi approaches résumé writing like an engineer debugging code, which is why more than four million job seekers trust it (rezi.ai).

Open the dashboard and you will see the Rezi Score, a color-coded gauge that grades your draft from 1 to 100 across twenty-three checkpoints: keyword density, bullet length, date formatting, and whether you buried metrics at the end of a sentence (rezi.ai). Edit a line, change "managed budget" to "oversaw a $42 million P&L," and the score updates in real time, nudging you toward a safe number above 90.

Paste a job description into the Keyword Scanner and Rezi highlights missing phrases in yellow. Add them only when accurate and watch the gauge climb. The workflow feels like a quiet video game for compliance.

Under the hood sit minimalist templates free of tables, text boxes, and exotic fonts. Power users in regulated sectors such as defense, healthcare, and finance report that Rezi exports parse without errors. One CFO saved forty minutes on every application by trusting the score instead of tweaking layout details.

Pricing is friendly: one fully functional executive résumé is free, and unlimited drafts, scans, and cover letters cost about $29 a month or a one-time lifetime fee.

If your goal is to clear the robot wall every time, Rezi is a reliable way through.

Jobscan: the keyword sleuth that reverse engineers every posting

If Rezi is an engineer, Jobscan is a private investigator. Provide a job description and your résumé, and it returns a side-by-side report showing every keyword, skill, or credential that matters. A green check means you are covered, while a red X tells the ATS -- and later the recruiter -- that a gap exists.

The process is simple: paste, click Scan, and watch your Match Rate appear. Beneath the percentage sits a checklist of hard skills, soft skills, and industry terms. Add real examples of "cloud architecture" or "P&L ownership," rescan, and the number rises. At eighty percent, Jobscan flashes a banner; in our tests that level consistently pushed real ATS parsers to rank the file as a high-fit candidate. Another useful feature is pattern recognition across multiple postings. Save five target roles and the tool aggregates overlaps, noting that "digital transformation" appears in four descriptions while "Six Sigma" shows up once. Edit once and satisfy many.

You get five free scans each month. Unlimited scans and LinkedIn audits cost about $49, worthwhile if you often apply through Fortune 500 portals.

When you need to mirror a posting's language without sounding robotic, Jobscan reveals every missing clue.

Executive Resume Worded: the fast audit that sharpens impact before you hit send

You have tuned the keywords and cleared parsing. Now you need an editor that asks, "Does this read like an executive who delivers?" Resume Worded answers in under two minutes.

Upload your PDF and the platform assigns grades for impact, brevity, style, and ATS compatibility. It flags a 42-word bullet and suggests trimming to twenty. It notices "responsible for" and recommends "drove," "headed," or "spearheaded." Small tweaks create a large perception shift.

Examples power the feedback. Click any weak bullet and Executive Resume Worded shows high-scoring alternatives from real VP and C-level résumés. You copy the structure -- action verb, metric, outcome -- not the content. One COO turned "improved margins" into "lifted EBITDA margin four points within eighteen months," a line that later anchored interviews.

Billing stays simple: the basic score is free, and a full pass with unlimited edits costs about $49 a month. Log in, collect targeted edits, and apply with confidence.

With Resume Worded on your side, your résumé stops echoing a job description and starts sounding like a track record.

Segment B | Zero-to-draft fast: tools that write the first 80 percent for you

Blank pages unsettle even seasoned leaders. When you need a solid draft before the next flight boards, AI generators can help. They pull from large language models, your role, and the job post to create a credible two-page résumé you can refine on the way to the airport.

Kickresume: from job title to polished draft in under ten minutes

Kickresume feels like a friendly chatbot inside a design studio. Type "VP of Marketing," choose a template, and the platform's GPT-4 engine produces a complete executive résumé -- profile summary, metric-driven bullets, and skills grid -- all in about eight minutes.

Each section contains a mini editor. Click a bullet, add notes about revenue growth or team size, and the text refines itself while preserving your voice.

Design is the second advantage. More than 40 executive templates keep typography tight and colors restrained, and every layout has been tested for ATS parsing. Switch templates mid-build and content flows without manual fixes.

Pricing stays reasonable: one résumé is free, and unlimited generations, cover letters, and cloud storage cost about $24 for a month. If starting from scratch feels painful, Kickresume gives you a head start while you add the numbers only you can supply.

AIApply: multilingual, multi-submit power when you are casting a wide net

Sometimes the target is not one role but three regions. AIApply covers that need. Enter a title, paste a job ad, and its GPT-4 core delivers a two-page résumé plus cover letter in seconds, then offers translations in more than 50 languages.

We tested a "Chief Operations Officer" prompt in English, German, and Spanish. Formatting held, leadership verbs adapted to each language, and metrics remained intact. For executives handling EMEA and LATAM searches, one-click localization beats hiring multiple writers.

AIApply also automates outreach. Turn on Auto-Apply and the system scans major boards, adjusts keywords for each post, and submits on your behalf. We recommend manual review until you trust the workflow; executive moves still need care.

The plan costs about $50 a month for unlimited drafts and submissions, with a free trial for one résumé. If you rely on high-volume, cross-border outreach, few tools cover as many needs this quickly.

Segment C | Visual executive branding: tools that wrap metrics in memorable design

A two-page résumé packed with results is great. A two-page résumé that looks ready for the boardroom is even better. The platforms in this segment add strong but ATS-safe design, giving recruiters a sense of polish before they read a single verb.

Enhancv: story-forward layouts that balance flair with parsing discipline

The Enhancv AI resume builder first runs your draft through an AI match-score check, then invites you to adjust keywords before you pick a layout.

Open the refreshed dashboard and you will see templates that resemble concise annual-report pages: subtle color bands, infographics, and sidebars for board roles or key wins. Every visual touch sits on clean HTML, so text stays readable when an ATS strips styling.

The secret is the AI Mentor. Draft a plain bullet such as "reduced costs across departments," click Improve, and the mentor asks for numbers, rewrites in active voice, and suggests context, turning it into "cut operating spend $4.3 million by realigning vendor contracts." Each suggestion appears inside the editor; you accept or tweak, keeping control of tone.

Leaders juggling multiple markets will appreciate one-click translations into 30 languages. The German version of our test CFO résumé kept dates, metrics, and line breaks intact.

Enhancv offers a free trial with a watermark. Full export rights cost about $25 for a month.

If your leadership story needs visual punch without risking ATS rejection, Enhancv delivers.

Canva: total creative control when you want a résumé that matches your brand palette

Canva is a full design studio that includes thousands of résumé templates. Need your CV to echo the navy-gold palette from your investor deck? Two clicks update every heading, accent bar, and icon.

Inside the editor lives Magic Write, Canva's GPT-powered assistant. Highlight a summary paragraph, ask for a sharper rewrite that spotlights strategic turnarounds, and new copy appears in place while keeping your fonts and spacing.

To avoid parsing issues, filter templates by the "ATS-friendly" tag and choose single-column layouts with standard fonts. We exported a visually rich CFO résumé to PDF, ran it through Rezi's scanner, and scored above 90, proving you can gain style without harming search performance.

The free tier has many templates, but color and brand-kit controls unlock with the $13 Pro plan. Executives often keep Canva for decks and social assets long after the job hunt ends.

Choose Canva when you already know your story and want every document to look unmistakably "you."

Novorésumé: polished, recruiter-tested layouts when you want guidance baked in

Not every leader enjoys tweaking kerning. Novorésumé solves that with 16 templates vetted by recruiters and ATS tools. Pick a look -- classic, modern, or executive -- and the builder locks line spacing, section order, and font hierarchy so the file stays clean even after edits.

As you type, a live content optimizer scores each bullet. Omit a metric and a side note reminds you that numbers improve callback rates. Slip into passive voice and it recommends a stronger verb. The coaching feels like tips from a seasoned writer without the hourly fee.

Novorésumé shines when you need both a one-page board bio and a two-page operational résumé. Duplicate the file, hide or reveal sections with a click, and export each version without reformatting.

The free plan supports one page; multi-page support and full optimization tools cost about $16 a month. For executives who prefer structure over endless tinkering, Novorésumé provides a refined look and instant writing guidance that keeps every version boardroom ready.

Segment D | Search command and control: platforms that keep every application organized

Teal: private CRM for juggling multiple executive pipelines

Many C-suite searches run on parallel tracks: several recruiters, direct applications, and quiet referrals. Spreadsheets collapse at that volume. Teal replaces them with a Kanban board that stores every role, résumé version, and follow-up date in one place.

Add the Chrome extension, click a LinkedIn posting, and Teal imports the description, logo, and recruiter contact into a new card. From there you can drop notes, set reminders, and launch a résumé audit against the job text. Keywords such as "P&L management" that appear in the ad but not in your file glow red until you add them.

Leadership Mode scans for power verbs, checks that your summary shows scope and scale, and recommends swapping "managed" for "oversaw a $180 million budget." Each tweak updates an on-screen score so you know when the file is ready.

The free tier offers unlimited résumés and five keyword suggestions. Teal+ unlocks full AI credits, premium templates, and email nudges for about $29 a month.

If you track more than three active opportunities, Teal keeps the workflow organised and visible.

Resume.io: rapid template switching for executives applying at scale

When the plan is volume -- fifteen tailored applications in a week -- speed matters. Resume.io delivers that pace. The form-based editor lets you move through Contact, Experience, Skills, and Education in one flow; a live preview shows how the file will appear in the chosen template.

Need to shift tone? Switch from a single-column layout to a two-column design and content reorders itself instantly, no manual fixes required. Many executives keep a master résumé in Resume.io, duplicate it, then adjust the headline and top bullets before exporting a PDF.

The built-in AI assistant flags passive voice, suggests tighter phrasing, and can transcribe voice notes if you dictate ideas between meetings. An optional Recruiter Match toggle shares your résumé with companies browsing Resume.io's talent pool; you can disable it for a confidential search.

Building and previewing are free. Downloads start with a low-cost week pass or a $24 monthly plan. For leaders who value quick iteration over deep design control, Resume.io keeps applications moving and ATS-safe.

Segment E | Independent sanity check: AI auditors to use after formatting is done

VMock: blunt scoring that benchmarks you against peer résumés

Even a polished draft benefits from a fresh eye. VMock provides that perspective at scale, comparing your résumé to a database of more than 500,000 professional documents and rating it on impact, presentation, and ATS strength.

Upload a PDF and within sixty seconds you receive three headline scores plus a heat-map overlay. Red boxes show a 38-word bullet, a missing dollar figure, or a date that could trigger bias. Green highlights celebrate strong metrics and crisp verbs.

Executives like the Peer percentile insight. Scoring an 82 in Impact means your quantified results outrank four out of five senior-leader résumés in VMock's sample. It pushes you to add one more solid number.

Because VMock is not a builder, you revise in Word or your preferred tool, then re-upload until the dashboard turns green. Many MBA programs provide free access; individual plans start around $20 for ten review credits, enough to refine each major variant.

Use VMock as the final gatekeeper. When its algorithm stops flagging issues, both bots and humans will focus on your story instead of your formatting.

Snapshot scorecard: 11 tools at a glance

Conclusion

Keep this grid close. When a role appears at 4 pm and the deadline is midnight, you will know exactly which AI ally to use.

Frequently asked questions

Do recruiters care if I use AI?

No. A 2025 survey shows that 90 percent of hiring managers welcome AI-assisted résumés as long as the facts are accurate. Edit every line so you can defend it in conversation and you will be fine.

Will an AI-generated résumé pass ATS filters?

Yes, if you export from an ATS-friendly template and keep graphics minimal. Tools such as Rezi, Jobscan, and Novorésumé include parsing checks; run them before you click apply.

How can I keep my search confidential?

Stay on platforms that protect files behind a login. Turn off any "public URL" or "talent pool" features. If you must share a link, replace employer names with placeholders until you secure an interview.

Do I still need a professional executive résumé writer?

AI handles structure, keywords, and first drafts quickly and at low cost. A writer can still refine narrative tone. Many executives draft with AI, then hire a writer for a single high-stakes polish round.

What is the biggest mistake executives make with AI builders?

Relying on default copy. Generators can sound generic or inflate achievements you cannot prove. Treat AI as a starting point, then layer in your own numbers, voice, and context. more

Emil Kaminsky


Career development 3d
Hi! Need some advice. There’s a woman in my team who has a difficult life situation - she has two kids and takes care of her elderly mother. She often makes mistakes in her reports. I’ve been quietly fixing them and not criticizing her.
But lately I’ve been thinking about replacing her with someone who makes fewer mistakes. I know this would really upset her.
What would you do in my place?

1   

  • Veronica Diko

    21h

    She just needs mentorship. have one on one talk with her to understand her challenges and build her capacity on the specific areas. Firing her without... giving her a chance is inhuman, she is fighting so many silent battles. more

    1

  • SM Admin

    1d

    Tell her her work is affecting the total output of your team, citing examples of when you had to stand in for her. She might not realise she's making... a mistake under pressure. Discussing it would help her in one way or the other
     more

    2
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Career development

 21h

StyleBuddy Launches India's First Employee Confidence Assessment Service for Corporates | Weekly Voice


StyleBuddy, India's leading personal styling and shopping assistance company

India's leading personal styling company introduces a free, data-driven evaluation of employee appearance, grooming, body language, and executive presence.

SAN FRANCISCO, CA, UNITED STATES, April 14, 2026 /EINPresswire.com/ -- StyleBuddy, India's #1 personal styling and transformation company, today announced the launch... of its Employee Confidence Assessment Service -- a comprehensive, free corporate audit designed to benchmark and elevate the professional presence of employees across India's leading organizations. The service brings StyleBuddy's deep expertise in personal styling, grooming, and personality development into the workplace, addressing a critical -- and widely overlooked -- gap in corporate talent strategy.

The Hidden Cost of Ignoring Professional Presence

While companies invest heavily in technical training, leadership development, and communication workshops, the most immediate signal of professionalism -- how an employee looks and carries themselves -- is routinely left to chance. Research consistently shows that first impressions are formed in under seven seconds, and in that brief window, appearance speaks louder than any pitch deck or résumé.

The consequences are real: eroded client trust, diminished leadership credibility, weakened brand equity, and a workforce that underperforms because it lacks the self-assurance that comes from presenting well. StyleBuddy's Employee Confidence Assessment Service is built to solve exactly this problem. In an era where first impressions are formed in under seven seconds, StyleBuddy's new service addresses the "hidden problem" in many companies: while businesses invest heavily in technical upskilling, they often overlook the visual and behavioral presence that drives client trust and leadership credibility.

What the Assessment Covers

Conducted by StyleBuddy's team of NIFT-certified image consultants, the assessment evaluates employees across five critical dimensions:

* Professional Appearance -- Clothing fit, color coordination, dress code adherence, and outfit appropriateness for client-facing and workplace settings.

* Personal Grooming -- Skincare, haircare, hygiene standards, and fragrance profiling assessed against professional benchmarks.

* Body Language -- Posture, hand gestures, eye contact, facial expressions, and non-verbal communication that builds trust and authority.

* Executive Presence -- Gravitas, composure under pressure, and the ability to command attention -- the intangible qualities that define leaders.

* Personal Style Awareness -- Alignment between an employee's self-image, personal brand, and their professional role.

The service is ideal for corporate leadership teams, sales and business development units, and luxury or hospitality brands where client-facing interactions are critical. Upon completion of the audit, companies receive a custom action plan with practical steps to bridge grooming gaps and amplify professional excellence. Each participating Organization receives a confidential, data-driven corporate report featuring a strengths analysis, specific improvement areas, industry benchmarks, and a tailored action plan -- delivered directly to leadership.

"Every company claims that people are their greatest asset -- but very few invest in the most visible dimension of that asset. When an employee walks into a client meeting, their appearance, grooming, and confidence make a statement before they speak a single word. The Employee Confidence Assessment Service gives Organizations an honest, professional benchmark of where their teams stand today, and a clear roadmap to elevate their impact tomorrow.", said Sanjay Pandit, Founder, of StyleBuddy.

Who It Is Designed For

The Employee Confidence Assessment Service is ideally suited for corporate leadership teams, client-facing employees, sales and business development teams, consulting and financial services firms, luxury and premium brands, and hospitality companies -- any organization where employees are the face of the brand.

Siddharth Pandit, co-founder at StyleBuddy, added "What sets this service apart is that it is not subjective feedback -- it is a structured, data-driven evaluation by trained image professionals, benchmarked against industry standards. We have seen, time and again, that when employees feel confident in how they present themselves, their performance, client relationships, and overall brand representation improve measurably. We are bringing that transformation to corporate India at scale."

Availability

The Employee Confidence Assessment Service is available at no cost to qualifying organizations across all 25+ cities where StyleBuddy operates. Organizations can request their free corporate audit at https://stylebuddy.in/corporate-style-audit or by calling +91 98988 28200.

About StyleBuddy

StyleBuddy is India's leading personal styling and transformation platform, trusted by over 10,000 clients with a 4.9-star Google rating. With a network of 1000+ NIFT-certified image consultants operating across 25+ cities, StyleBuddy combines human expertise with AI-powered style analysis to deliver measurable transformation in style, grooming, confidence, communication, and etiquette. The company offers a full spectrum of services from personal styling and wardrobe makeovers to executive image consulting and wedding styling.

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability

for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this

article. If you have any complaints or copyright issues related to this article, kindly contact the author above. more

Career development

 1d

The Skill Nobody Is Teaching Software Engineers (And Why It Will Define the Next Decade)


The Skill Nobody Is Teaching Software Engineers (And Why It Will Define the Next Decade)

A year of building with AI tools taught me something Jensen Huang already knows -- and that most developers are still sleeping on.

There is a version of this story where I tell you that I started using AI coding tools and everything immediately became faster and better. That version is clean, motivating, and... completely dishonest.

The real version starts with four months of frustration, inconsistent outputs, half-finished features, and the quiet suspicion that maybe the hype was exactly that -- hype. I was using the tools everyone was talking about. I was not getting the results everyone was talking about. And I couldn't figure out why.

What I eventually discovered changed not just how fast I build, but how I think about software engineering itself. I want to share that honestly -- because the gap between "using AI" and "using AI well" is enormous, and almost nobody is talking about what actually fills it.

The wrong mental model

When most developers pick up an AI coding tool for the first time, they approach it the way they'd approach a search engine. You have a problem. You type a description of the problem. You get an answer. You move on.

This works fine for isolated, well-defined questions. It fails completely the moment complexity enters the picture.

I was building production applications -- a full-stack SaaS, an iOS app, a RAG-based knowledge platform for an enterprise engineering team -- and I kept running into the same wall. The AI would help me build a piece of something, and then, when the pieces needed to connect, everything would unravel. The model had no idea what it had built ten messages ago. It didn't know about the architectural decision I'd made two features back. It was answering each question in a vacuum, and I was treating each question like a fresh search query.

The problem wasn't the tools. The problem was that I was using a collaboration instrument like a calculator.

The reframe that changed everything

Around five months in, I stopped. I went back to something I knew well from software engineering itself: the value of a good specification.

When you onboard a strong junior engineer, you don't hand them a vague feature request and expect a production-ready result. You brief them. You explain what you're building, how it fits into the larger system, what constraints exist, what failure modes matter. The quality of your briefing determines the quality of their output more than their raw ability.

I started treating AI the same way.

Before writing a single line of code on any non-trivial feature, I began writing what I call a mini-spec -- three paragraphs covering what I'm building, what it connects to, and what it must not do. That spec goes into every AI session before I ask a single implementation question. I maintain a running context file for each project: architecture decisions, data models, naming conventions, the constraints that aren't obvious from the code itself.

This single change -- moving from "AI as search engine" to "AI as briefed collaborator" -- was responsible for more improvement in my output quality than any prompt technique I've ever learned.

Jensen Huang, whose company sits at the center of the entire AI revolution, put it plainly in a conversation earlier this year: "Prompting AI is very similar to asking good questions. It requires expertise and artistry."

What he didn't say -- and what I had to learn the hard way -- is that the expertise and artistry only come from failing repeatedly. There is no shortcut. You have to burn through enough bad outputs to develop an intuition for what the model needs from you. You have to experience the exact moment where missing context causes a cascade of wrong decisions to understand why context is everything.

What I actually learned

Context engineering is the real skill, not prompt engineering.

The phrase "prompt engineering" has become so widespread that it has almost lost meaning. What most people call prompt engineering is really just asking questions in slightly different ways. The deeper skill -- context engineering -- is about deciding what information the model needs to be useful, structuring that information clearly, and maintaining it across a session. It is less about how you phrase the question and more about what you've already told the model before you ask it.

Spec-first development is no longer optional.

Before AI tools, writing a mini-spec before implementing a feature was good discipline. With AI tools, it is the difference between a productive session and a wasted hour. The model's output quality is almost entirely determined by how clearly you've defined what you want. Vague input, vague output. Precise input, precise output. This has always been true of software. AI just makes the relationship more immediate and more visible.

The 10x speed is real, but it's compound, not instant.

The improvement isn't a single tool making you suddenly faster. It's a set of compounding habits -- spec first, context always, iterate quickly, review carefully -- that eliminate the rework and ambiguity that consume most of an engineer's time. When you stop spending time correcting for unclear requirements and rebuilding features because the AI misunderstood the context, the hours add up fast.

AI is a learning engine, not just a build engine.

This is the part that surprises people most when I talk about it. Every day I use AI to understand something I didn't understand the day before. Not by asking it to write code, but by asking it to teach me -- why a particular architectural pattern exists, how a framework I've never used works under the hood, what the tradeoffs are between two approaches I'm considering. The barrier to acquiring new technical knowledge has collapsed. I don't wait until I have time to read a book or take a course. I learn while I'm building.

The proof is in what shipped

In twelve months, working at a pace that would have been impossible without AI-native workflows embedded into every layer, I shipped to production: a RAG-based internal knowledge platform at Charter Communications that reduced new-hire onboarding time by 80%, built on Amazon Strands and ChromaDB. A LinkedIn content automation pipeline built with n8n that runs without manual intervention. Desiroomy, a production SaaS at desiroomy.app. Find My Operator, a two-sided marketplace. Allies, an iOS app built with SwiftUI and Supabase. And an open source project I want to talk about in more depth -- because it illustrates something important about how to use AI well.

Building AI systems that don't lie

The Python Resume Generator started from a frustration I kept hearing from engineers who had tried AI-powered resume tools: the outputs were polished, professionally phrased, and factually wrong. The AI would add technologies the person hadn't used, improve job titles that didn't exist, invent responsibilities that sounded plausible because they were adjacent to real ones. The résumés read beautifully until someone started asking questions in an interview.

The problem isn't that AI is bad at writing. It's that AI, left unconstrained, will prioritize coherence and fluency over accuracy. It fills gaps with plausible-sounding content because that's what language models do by default. If you want a system that doesn't do this, you have to architect the constraint into the system itself -- you can't rely on the prompt alone.

This insight -- that reliability in AI systems comes from architecture, not from hoping the model behaves -- is the central design principle behind the project, and I think it generalizes far beyond résumés.

How the system is designed

The architecture has a name I use internally: the source-of-truth pipeline. The user's YAML profile -- containing their real experience, their actual skills, their genuine achievements -- is the single authoritative input. Everything downstream derives from it. The LLM is permitted to transform language. It is not permitted to introduce new facts.

The pipeline flows in one direction. YAML profile and optional job description go in. LangChain orchestrates a series of LLM calls, using OpenAI or Ollama depending on whether the user wants cloud-based or fully local processing. The model rewrites bullets for clarity and impact, tailors the language toward the job description, and optimizes phrasing for ATS compatibility. Then -- before a single word reaches the rendering layer -- the output passes through a validation layer.

The validation layer is where the anti-hallucination guarantee lives. A rule-based system cross-references every claim in the generated output against the source YAML. If the model has introduced a technology that doesn't appear in the profile, it's caught. If it has invented a metric that wasn't in the original data, it's caught. Outputs that fail validation are either rejected and regenerated, or flagged for the user to review. Nothing that can't be traced back to the source document makes it into the final résumé.

The rendering layer takes the validated, structured output and populates a LaTeX template built on the Awesome-CV framework. LaTeX compilation produces a clean, consistently formatted PDF. DOCX output is available for situations where recruiters need an editable format.

On top of the pipeline sits a LangChain-powered chat agent that lets users interact with their résumé conversationally. You can tell it to remove a project, shift emphasis toward a particular skill, or regenerate the summary for a different role. Every change is applied to the YAML first, then run through the full pipeline again -- which means every conversational edit is still subject to the same validation constraints as the original generation.

The design principles, stated plainly

Five principles governed every decision in the system's design, and I think they apply broadly to anyone building AI-integrated software.

The first is source-of-truth first. All content must originate from structured input data. The system should never be smarter than the data it was given -- it should only be clearer.

The second is controlled AI usage. AI is useful for transformation. It is dangerous when used for generation of new facts. The job of good AI system design is to put the model in situations where it can do the former and cannot do the latter.

The third is deterministic output. Structured inputs and templates should produce consistent results. If the same YAML profile generates wildly different résumés on different runs, something is wrong with the system design.

The fourth is modularity. Every component in the pipeline -- the input parser, the LLM layer, the validator, the renderer -- should be independently replaceable. This isn't just good engineering hygiene. It's what makes the system improvable over time without requiring a full rewrite every time one piece gets better.

The fifth is reproducibility. The same inputs should always produce predictable outputs. This matters enormously in a production system, and it matters for trust. Users need to know what they're getting.

Why this matters beyond résumés

I've spent more time than I expected thinking about the gap between using AI and using AI well. The résumé generator is a small project -- but it forced me to articulate something I'd been feeling intuitively for months.

Most discussions about AI in software engineering focus on speed. How much faster can you write code? How many features can you ship per sprint? These are real gains and they matter. But they're the surface layer of what's actually changing.

The deeper change is about where reliability comes from in AI-integrated systems. In traditional software, reliability comes from deterministic code. You write the function, you know what it does, you test it, you ship it. In AI-integrated systems, the model's behavior is probabilistic. You cannot test every possible output. You cannot guarantee that a given input will always produce exactly the same result.

This means the engineering challenge shifts. Instead of writing deterministic code and trusting it, you have to design systems where the AI's probabilistic behavior is constrained within boundaries narrow enough that the outputs are reliably useful. The validation layer in the résumé generator is a simple version of this. The RAG architecture in the knowledge platform I built at Charter is a more complex version of the same idea.

The engineers who internalize this -- who stop thinking about AI as a feature and start thinking about it as a layer with specific affordances and specific failure modes -- will build systems that work. The ones who don't will build systems that mostly work, which in production is another way of saying they don't.

What's coming

The Python Resume Generator is actively developed and open to contributors. The roadmap includes a real-time preview UI, vector-based retrieval to surface the most contextually relevant experience for a given job description, LinkedIn and job board integration, multi-language support, and eventually fine-tuned models trained specifically on high-quality resume content.

If any of those problems interest you, the project is on GitHub at github.com/mponagandla/Python-Resume-Generator. Issues, pull requests, and conversations are all welcome.

The skill that will separate engineers in the next decade

I want to end where I started -- with the honest version of this story.

The year was not a steady arc from struggling to confident. It was a series of failures, each of which taught me something specific. The month I couldn't get the AI to maintain context across a complex feature taught me about context engineering. The sprint where I kept getting outputs that missed the architecture entirely taught me to write specs first. The project where the AI kept introducing plausible-sounding but wrong information taught me that reliability requires system design, not just prompt design.

The skill I've built is not "using AI." It's knowing when to let AI run and when to constrain it, knowing what information it needs before it can be useful, and knowing how to design systems where its probabilistic nature doesn't become your reliability problem.

I think this is one of the most important skills a software engineer can develop right now. Not because it's trendy. Because the engineers who don't develop it will be collaborating with AI and getting mediocre results, while the engineers who do will be building at a fundamentally different level of speed and quality.

The gap between those two groups is already visible. In another twelve months, it will be hard to miss.

Manoj Reddy Ponagandla is an AI-Native Software Engineer at Charter Communications, based in Lake Saint Louis, Missouri. He builds production AI systems, ships open source tools, and writes about the practical realities of AI-native development.

Python Resume Generator: github.com/mponagandla/Python-Resume-Generator LinkedIn: linkedin.com/in/manojponagandla Website: manojponagandla.com more

Career development

 1d

Deputy minister who broke conflict-of-interest rules faces questions from MPs


Christiane Fox tells committee she will 'continue to demonstrate commitment to public service'

Auditor general Karen Hogan, right, speaks with National Defence Deputy Minister Christiane Fox before appearing as witnesses at the Standing Committee on Public Accounts in Ottawa, on Monday. A senior public servant who breached conflict-of-interest rules by influencing the hiring of a man she knew... from university faced questions from MPs Monday, including about using a public office holder's role to further the interests of private individuals.

Last week, Ethics Commissioner Konrad von Finckenstein found that the public servant, Christiane Fox, helped the man, who was working as a gym manager, land a project management job at Immigration, Refugees and Citizenship Canada in 2023. Ms. Fox was IRCC's deputy minister when she intervened to help Björn Charles, an acquaintance from student sports and third or fourth cousin of her husband, get a job in her department's Access to Information and Privacy division. She later introduced him to colleagues at the Privy Council Office, where he also landed a job.

Mr. von Finckenstein's investigation into the IRCC hiring concluded Ms. Fox had "used her position as Deputy Minister to give Mr. Charles preferential treatment, by ensuring he met with departmental officials quickly, seeking updates about his hiring, giving him internal information and pushing for a higher job classification." "As the Commissioner's Office has noted in previous examination reports, giving someone preferential treatment is, in itself, improper," he added.

Deputy minister Christiane Fox breached conflict of interest rules by intervening in hiring decision, says ethics watchdog. Appearing Monday before the public accounts committee, Ms. Fox was asked by opposition MPs about the watchdog's findings. Conservative James Bezan asked whether she could assure Parliament and Canadians "that you won't be using your office as a public office holder to further your interests of private individuals?" She replied she would "continue to demonstrate commitment to public service," adding that she will take her "responsibilities seriously as I always have." Conservative Ned Kuruc commented that she did not appear to "acknowledge any wrongdoing or errors" which he said was very concerning.

Ms. Fox told the committee that she had been trying to improve an underperforming Access to Information unit in IRCC when she referred Mr. Charles. She said she had been asked to forward résumés. She added "the actions in this particular context I have to reflect on," saying she was taking the matter "extremely seriously."

The ethics watchdog's report said the acting director-general in IRCC's Access to Information division had told the head of human resources that, as Mr. Charles had no French proficiency or experience in government, he could only be offered an entry-level position. "Evidence showed they felt pressured to hire him at a level for which he was not qualified," the ethics watchdog found.

Ms. Fox had told the ethics commissioner that she wanted to ensure Mr. Charles was not automatically appointed to an entry-level position, "as is the case with many racialized individuals entering the federal public service whose experience and skills are not recognized due to racism." Ms. Fox on Friday issued a statement saying she was aiming to promote diversity and bring in outside perspectives when she helped Mr. Charles. She was acquainted with him from her time at Carleton University, and her husband had coached him in basketball at Carleton.

In her IRCC role, Ms. Fox was appointed deputy clerk of the Privy Council and associate secretary to the cabinet, one of the most senior civil service roles in Canada. She was appointed deputy minister of National Defence at the end of January. While deputy minister at IRCC in 2023, Ms. Fox was part of a deputy ministers' task force on the federal public service and ethics. In a report published in January, 2024, it recommended that "deputy ministers ensure that obligations under the Values and Ethics Code, and departmental codes of conduct, are clear and are upheld with consequences for violations regardless of level or position." It said that there is a "perceived lack of accountability or a 'double standard' between senior leadership and employees when it comes to compliance and enforcement of the Code." Some public servants said there appear to be few, if any, consequences for senior leaders who act in contravention of values and ethics.

After she intervened, Mr. Charles was first hired for a casual position at IRCC, and then for a one-year contract. He was told in the summer of 2024 that his job at the senior level would not be renewed. The ethics watchdog's report said he contacted Ms. Fox, who had by then moved to become deputy clerk of the Privy Council, to inquire about job opportunities at the Privy Council Office . Ms. Fox told Mr. Charles to send his résumé to her assistant. Ms. Fox informed the assistant deputy minister responsible for human resources at the PCO that Mr. Charles would be sharing his CV. Ms. Fox's assistant scheduled a meeting between Mr. Charles and the ADM at the Privy Council Office in June, 2024. According to Ms. Fox, the ADM told her that they were always looking to hire, whether in the Access to Information division or elsewhere, and he told her to send him Mr. Charles's résumé and that they would be happy to meet him.

Prior to his meeting with the ADM, Mr. Charles met Ms. Fox at her office. She walked him to the ADM's office and introduced him and a senior director with the Access to Information division, who was also present. In early September, 2024, he received a verbal offer of a job as an access to information analyst in the Privy Council Office with top-secret clearance. The report does not say whether he remains in that job.

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Anonymous member


Career development 1w
Hi! I work in an all-women team and no one has a car. My husband picks me up every day and my coworkers often ask for a ride too. They got used to it and if I say no, they get upset. But I’m tired of driving everyone home. How can I stop this without arguments? Thanks

1   

  • Donna Lipoma-Vanderbeck

    1d

    Ask them for gas money. A $1 per day sounds reasonable.

  • Kevin Woods

    1d

    The 'wonan' on this thread either suggests lying or charging. The 'men' suggest saying no and deal with it. I suggest saying NO, it's simple. You no... longer want to. Easy. Feel good about taking up for yourself.  more

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