Career
AI-Powered Resumes: How to Use Generative Tools Without Losing Your Voice?
Finding a job has always been a challenge. But in today’s competitive world, your resume can decide whether you even get a call for an interview. With thousands of candidates applying for the same role, hiring managers rely on quick scanning tools and Applicant Tracking Systems (ATS) to filter out applications.
This is where Artificial Intelligence (AI) tools step in. From ChatGPT to specialized resume builders, AI can help you create polished, professional resumes in minutes. But there’s a catch—if you let the tool do all the work, your resume may sound too generic, robotic, or worse, identical to hundreds of others.
So, how do you use AI to your advantage without losing your unique voice and personality? Let’s break it down step by step.
Why Are AI-Powered Resumes Becoming Popular?
- Time-saving: Writing resumes from scratch can take hours. AI tools speed up the process.
- ATS optimization: Many AI resume tools are designed to include the right keywords for job postings.
- Professional formatting: AI ensures your resume looks clean, structured, and easy to read.
- Confidence boost: For candidates unsure of wording or grammar, AI provides a strong starting point.
Clearly, AI resumes aren’t just a trend—they’re becoming a necessity. But you still need to add the human touch.
The Risk of Overusing AI in Resumes:
AI is brilliant at structuring content, but it often produces:
- Clichés: Phrases like “results-driven professional” or “highly motivated team player” show up too often.
- Generic tone: The resume may sound flat and impersonal.
- Skill inflation: AI sometimes adds skills or experiences that don’t match your real background.
- Red flags for recruiters: Hiring managers can usually tell when a resume feels AI-generated and copy-pasted.
Remember, the goal of a resume is to stand out, not blend in.
Step 1: Use AI for Structure, Not Story
Think of AI as your resume assistant, not your replacement. Start by asking a generative AI tool to:
- Create an outline for your resume.
- Suggest sections (Summary, Skills, Experience, Education).
- Recommend keywords from the job description.
Once you have this structure, fill in the details with your personal achievements.
Example:
AI might suggest:
“Increased sales by 20% through improved customer engagement.”
You should rewrite with your real experience:
“Boosted regional sales by 18% in six months by launching a customer loyalty program.”
Step 2: Keep Your Unique Voice in the Summary
Your summary or career objective is often the first thing a recruiter reads. Instead of letting AI spit out a generic sentence, tell your story in your own words.
AI version:
“A highly motivated professional with strong leadership skills.”
Your version:
“I’m a project manager who loves turning complex ideas into simple, workable solutions. Over the past five years, I’ve led diverse teams to deliver projects on time and under budget.”
See the difference? The second one feels real, relatable, and human.
Step 3: Guide the AI with Your Achievements
AI works best when you feed it details. Instead of saying:
“Write my work experience as a marketing manager,”
Try:
“Write bullet points for a marketing manager resume based on these facts: launched 3 successful campaigns, grew social media followers by 40%, trained 5 junior staff.”
This way, AI tailors the text to your story rather than guessing.
Step 4: Customize for Every Job Application
One big mistake job seekers make is sending the same resume everywhere. AI makes it easier to customize.
- Paste the job description into your AI tool.
- Ask it to highlight keywords and skills.
- Adjust your resume to reflect those keywords (only if they genuinely apply to you).
This not only boosts your ATS score but also shows recruiters you’re serious about the role.
Step 5: Add the Human Touch Back
Once AI drafts your resume, read it aloud. Does it sound like you? Would you say these words in an interview?
If the answer is “no,” rewrite.
- Replace robotic phrases with conversational wording.
- Add numbers, metrics, or real-life examples.
- Keep sentences short and direct.
Think of AI as giving you the “skeleton” of the resume, while your job is to add flesh and personality.
Step 6: Avoid Common AI Resume Mistakes
Here are pitfalls to watch out for:
- Too many buzzwords: Recruiters can spot them instantly.
- Fabricated achievements: AI may exaggerate—never claim what you can’t back up.
- Overloading skills: Listing 30+ skills makes you look unfocused. Stick to 8–12 key ones.
- Forgetting design: A plain Word document might pass ATS, but clean formatting still matters for human eyes.
Step 7: Use AI Beyond Resume Writing
AI isn’t just for creating resumes—it can also help with:
- Cover letters: Ask AI to draft, then rewrite in your own voice.
- LinkedIn optimization: Get keyword suggestions for your profile.
- Interview prep: Use AI to generate likely interview questions.
This way, your job-hunting toolkit stays consistent and strong.
The Balance Between AI and Authenticity
Here’s the truth: recruiters don’t just hire skills, they hire people. If your resume reads like a machine wrote it, you risk losing that personal connection.
AI should:
✅ Save you time
✅ Improve clarity
✅ Suggest better wording
But you should:
✅ Add personal achievements
✅ Show your voice
✅ Keep it real and relatable
That balance is what makes a resume both ATS-friendly and human-approved.
Final Thoughts:
AI-powered resumes are here to stay. They can help you beat ATS filters, highlight key skills, and polish your professional story. But at the end of the day, no algorithm knows your journey better than you.
Use AI wisely—as a supportive assistant, not as your storyteller. Inject your own voice, achievements, and personality into every line. That’s how you’ll create a resume that not only gets noticed but also gets remembered.
✅ Pro tip for job seekers: Always keep two versions of your resume.
- ATS-optimized version: keyword-rich, simple format.
- Human-friendly version: visually appealing, conversational tone.
Together, they give you the best chance of landing that dream interview. Good Luck!
Career
12 Underrated Apps To Learn Something New Every Day
Let’s be honest.
Most of us spend 3–5 hours a day on our phones. Scrolling social media. Watching random videos. Jumping from one app to another.
But imagine something different.
What if your phone helped you become smarter every single day?
Not with boring lectures. Not with complicated courses. But with simple, bite-sized lessons you actually enjoy.
That’s exactly what microlearning apps are designed for.
Microlearning means learning small pieces of knowledge in short sessions, often just 5–15 minutes at a time. This approach makes it easier to stay consistent and build real skills over time.
The problem?
Most blog posts recommend the same apps over and over — Duolingo, Coursera, Khan Academy.
You already know those.
So in this guide, we’ll explore 12 rare, underrated apps that most people have never heard of, but that can teach you something new every day.
These apps can help you learn:
- Critical thinking
- Coding
- Visual knowledge
- General intelligence
- Creativity
- Business and life skills
And the best part?
Many lessons take less than 10 minutes a day.
Let’s dive in.
Why Microlearning Apps Work So Well?
Before we explore the apps, let’s answer a simple question.
Why do these learning apps actually work?
Because they remove the biggest barrier to learning:
Time.
Instead of forcing you to study for hours, they deliver knowledge in short, focused lessons.
Benefits include:
- Easier to stay consistent
- Less mental fatigue
- Faster learning progress
- Learning anywhere (bus, lunch break, etc.)
Think of it like daily exercise for your brain.
Small steps. Big results.
12 Underrated Apps To Learn Something New Every Day:
1. Imprint – Learn Big Ideas Through Visual Stories
If you love beautiful visuals and quick explanations, Imprint is incredible.
Instead of long articles or boring lectures, it teaches complex topics using interactive visual storytelling.
Topics include:
- Psychology
- Philosophy
- Science
- Business
- History
The app breaks big ideas into 5–10 minute visual lessons.
For example, you might learn:
- Why humans procrastinate
- How successful people think
- The psychology behind habits
Many people call it “Netflix for knowledge.”
Best For:
Visual learners who want deep ideas explained simply.
2. Learny – Daily Micro Knowledge:
Learny is a daily brain training and knowledge app that delivers quick lessons and facts to help you become smarter every day.
Instead of traditional courses, it focuses on microlearning.
That means:
- Small learning sessions
- Personalized knowledge paths
- Quick brain exercises
You might learn:
- Random science facts
- Historical insights
- Logic puzzles
- Memory training
Best For:
People who want a few minutes of learning every day.
3. Mimo – Learn Coding in Small Lessons
Coding sounds intimidating.
But Mimo makes it surprisingly simple.
Instead of long tutorials, it teaches programming through small interactive exercises.
You can learn:
- Python
- HTML
- JavaScript
- SQL
Lessons feel like mini games, not classes.
Many learners say it’s one of the easiest ways to start coding.
Best For:
Beginners who want to learn programming from zero.
4. Brainscape – Learn Anything Faster
Brainscape uses science-backed flashcards to help you learn faster.
It uses a technique called spaced repetition.
Simple explanation:
The app shows you information right before you’re about to forget it.
This improves memory dramatically.
You can learn:
- Languages
- Science
- Business
- Test preparation
Brainscape focuses on efficient learning based on cognitive science.
Best For:
People who want better memory and faster learning.
5. SoloLearn – Learn Tech Skills for Free
SoloLearn is one of the best underrated apps for learning tech skills.
It offers bite-sized lessons in:
- Python
- Java
- C++
- Data science
- Web development
Each lesson includes:
- Quick explanations
- Coding exercises
- Community discussions
Why It’s Great:
You can complete many lessons in under 5 minutes.
Best For:
Future developers or tech enthusiasts.
6. EdApp – Micro Courses That Take Minutes
EdApp is designed for microlearning courses.
Instead of traditional courses, it offers short learning modules with quizzes and interactive lessons.
Features include:
- Gamified learning
- Push notifications
- Interactive quizzes
Many organizations use EdApp for employee training because of its short, engaging lessons.
Best For:
People who enjoy structured mini-courses.
7. BeFreed – AI Learning Companion
BeFreed is a modern AI-powered learning platform that creates personalized learning experiences.
Instead of fixed courses, the AI recommends topics based on:
- Your goals
- Your interests
- Your knowledge level
This makes learning more personal and efficient.
Best For:
People who want custom learning paths.
8. Quizizz – Learning Through Games
Quizizz transforms learning into a quiz game.
You answer questions and compete with others.
Topics include:
- Science
- History
- Geography
- Business
- Technology
The fun part?
It feels like playing a game, not studying.
Best For:
People who love gamified learning.
9. GeoGebra – Learn Math Visually
Math can feel difficult when it’s just numbers.
GeoGebra changes that.
It teaches math through interactive visuals and simulations.
You can explore:
- Algebra
- Geometry
- Calculus
- Statistics
Instead of memorizing formulas, you see how math works.
Best For:
Visual learners who struggle with math.
10. Jellypod – Learn Through Podcasts
Not everyone likes reading.
Some people learn better by listening.
Jellypod allows you to create AI-powered educational podcasts based on topics you want to learn.
You can learn while:
- Walking
- Driving
- Cooking
- Exercising
Best For:
Audio learners.
11. Forage – Real Career Simulations
Forage is very different from normal learning apps.
It lets you experience real job simulations from companies.
For example:
- Marketing projects
- Finance analysis
- Tech problem solving
You learn by doing real work tasks.
Best For:
Students exploring careers.
12. Instanerd – Curiosity-Based Learning
Instanerd focuses on curiosity-driven learning.
It offers quick explanations for interesting questions like:
- Why do we dream?
- How does inflation work?
- Why do humans procrastinate?
Each topic takes just a few minutes to understand.
Best For:
Curious minds who love random knowledge.
How to Build a Daily Learning Habit (Simple System)?
Having great apps isn’t enough.
You also need a simple system.
Here’s one that works for almost everyone.
Step 1: Choose Only 1–2 Apps
Too many apps = overwhelm.
Start with just two.
Example:
- Imprint (ideas)
- Mimo (coding)
Step 2: Learn 10 Minutes Daily
Set a rule:
10 minutes every day.
That’s it.
Consistency beats intensity.
Step 3: Stack Learning With Habits
Attach learning to something you already do.
Examples:
- After breakfast
- During commute
- Before bed
This makes the habit automatic.
Step 4: Track Your Progress
Seeing progress motivates you.
Many apps track:
- Streaks
- Points
- Completed lessons
Protect your streak.
Best App Combinations (Recommended):
Here are some great combinations:
For curiosity:
- Imprint
- Learny
For career growth:
- Mimo
- Forage
For general knowledge:
- Instanerd
- Quizizz
For brain training:
- Brainscape
- EdApp
Common Mistakes When Using Learning Apps:
Avoid these mistakes.
1. Installing Too Many Apps:
More apps = less focus.
Pick 2 or 3 max.
2. Learning Without Action:
Knowledge becomes powerful when you use it.
Example:
- Practice coding
- Discuss ideas
- Apply concepts
3. Skipping Days:
Consistency matters more than speed.
Even 5 minutes counts.
Conclusion: Your Future Self Will Thank You
Learning something new every day doesn’t require hours of studying.
You don’t need expensive courses.
You don’t even need a laptop.
All you need is your smartphone and a few minutes a day.
Apps like Imprint, Mimo, Brainscape, and Learny prove that learning can be simple, fun, and even addictive.
Remember this powerful idea:
Small knowledge daily creates massive growth over time.
Just imagine where you’ll be in one year if you learn something new every day.
- New skills
- New ideas
- New confidence
So here’s your challenge.
Pick one app from this list.
Install it today.
And commit to 10 minutes of learning starting now.
Your smarter future self is waiting.
Career
5 Underrated Digital Skills You Can Learn at Home That Most People Still Ignore
If you’ve read even a few career blogs, you’ve seen the same advice again and again.
Learn content writing.
Learn graphic design.
Learn digital marketing.
And at some point, you think:
“Okay… but everyone already knows this. What now?”
That feeling is valid.
The internet keeps recycling the same beginner skills, while quietly ignoring newer, less crowded opportunities. Skills that don’t look flashy on Instagram—but actually create leverage.
This article is for people who:
- Are tired of generic advice
- Want skills with less competition
- Prefer quiet, long-term value over hype
- Want control, not constant hustle
In this guide, you’ll learn 5 overlooked digital skills you can learn at home, why they matter, who they’re for, and how to start without overwhelm.
No buzzwords. No trend-chasing. Just practical direction.
Why “Popular Skills” Are Becoming Harder to Monetize?
Let’s be honest for a moment.
Popular skills aren’t useless—but they are crowded.
When everyone learns the same thing:
- Prices drop
- Competition rises
- Anxiety increases
That’s why the smarter move today is not popular skills, but supporting, system-level skills.
Skills that:
- Sit behind the scenes
- Are hard to replace
- Are learned by fewer people
That’s where stability lives.
1. No-Code Automation (Making Tools Talk to Each Other):
What This Skill Really Is?
No-code automation means connecting apps so work happens automatically, without writing code.
Example:
- When someone fills a form → data goes to a spreadsheet → email is sent automatically.
Tools do the work. You design the flow.
Why This Skill Is Powerful (and Ignored)?
Most people:
- Hate repetitive tasks
- Don’t know automation exists
- Think it requires programming
It doesn’t.
Businesses lose hours daily on manual work. Automation fixes that quietly.
Tools You’d Learn:
- Zapier
- Make (formerly Integromat)
- Airtable
Who This Skill Is Perfect For?
- Organized thinkers
- Process lovers
- People who enjoy efficiency
This skill pays well because it saves time, not because it looks creative.
2. Data Cleanup & Organization (The Skill Nobody Wants—but Everyone Needs):
What It Is?
This skill involves:
- Cleaning messy spreadsheets
- Organizing data
- Removing duplicates
- Making information usable
Not analysis. Not coding. Just clarity.
Why This Skill Is Underrated?
Data is everywhere.
Clean data is rare.
Most businesses have information—but it’s unusable. They need someone who can bring order.
Why Beginners Can Learn This Easily?
- Learn Google Sheets or Excel basics
- Practice sorting, filtering, formatting
- Build patience and precision
It’s calm work. Focused work.
And surprisingly valuable.
3. AI Prompt Design (Talking to AI the Right Way):
What This Skill Actually Is
AI prompt design means knowing how to ask AI tools the right questions to get high-quality results.
Most people type vague prompts and get poor outputs.
A prompt designer:
- Structures instructions clearly
- Adds context
- Guides outcomes
Why This Is a New Opportunity?
AI tools are everywhere now.
But most people use them badly.
Those who know how to guide AI properly save:
- Time
- Money
- Effort
This skill is about thinking clearly, not being technical.
Who This Is For?
- Writers
- Managers
- Researchers
- Anyone working with AI tools daily
It’s a thinking skill. And thinking skills age well.
4. Digital Product Operations (Running the Backend Nobody Sees):
What This Skill Means?
Digital product operations involves managing:
- Product uploads
- File organization
- Customer access
- Updates and versions
It’s the engine room behind online products.
Why This Skill Is Rare?
Everyone wants to:
- Create
- Sell
- Promote
Very few want to maintain systems.
But creators desperately need help keeping things running smoothly.
What You’d Learn?
- File management
- Platform dashboards
- Version control (simple, not technical)
- Customer access workflows
This skill brings stability and long-term work.
5. Knowledge Management (Turning Information Into Systems):
What Is Knowledge Management?
It’s the skill of:
- Organizing notes
- Structuring information
- Building personal or team knowledge systems
Think:
- Notion dashboards
- Documentation systems
- Learning libraries
Why This Skill Is Becoming Valuable?
Information overload is real.
People don’t lack information.
They lack structure.
Those who can turn chaos into clarity are quietly in demand.
Who This Is Perfect For?
- Deep thinkers
- Note-takers
- People who love systems
It’s not loud work. But it’s respected work.
How to Choose the Right “Unpopular” Skill for You?
Ask yourself:
- Do I enjoy structure or creativity?
- Do I prefer solving problems quietly?
- Do I like improving systems?
Choose the skill that feels mentally calm, not exciting.
Calm skills are sustainable skills.
A Simple Learning System:
Use this 3–2–1 system:
- 3 days a week: learning
- 2 days a week: practice
- 1 day a week: review
Track:
- What confused you
- What clicked
- What improved
This reduces anxiety and builds confidence naturally.
Why These Skills Give You an Advantage?
These skills:
- Have less competition
- Are harder to replace
- Support other roles
- Age well over time
They don’t depend on trends.
They depend on thinking and structure.
Conclusion:
The internet rewards noise.
The real world rewards reliability.
You don’t need another popular skill.
You need one overlooked skill you can grow steadily.
Pick one from this list.
Learn it slowly.
Apply it calmly.
That’s how real careers are built—without panic.
👉 Choose the skill that feels boring but useful. Start today.
Career
9 Free AI Courses with Certificates in 2026 (Step-by-Step Guide)
“AI Sounds Important… But Is It Really for Me?”
Let’s be honest.
When you hear Artificial Intelligence, what comes to mind?
Complex math? Coding? Long hours? Expensive courses?
You’re not wrong to feel confused or even intimidated.
Many students and beginners think free AI courses are low quality, too technical, or a waste of time. Some even tried one before… and quietly quit halfway.
Here’s the truth most people don’t tell you:
You don’t need to be smart, technical, or experienced to learn AI. You just need the right starting point.
In this guide, I’ll walk you through:
- What AI really means?
- The right mindset for learning AI without stress
- 9 genuinely free AI courses with certificates in 2026
- How to choose the right course for you
- How to track your progress and stay consistent
No jargon.
No pressure.
Just a clear path forward.
Let’s begin.
What Is AI?
Artificial Intelligence (AI) simply means teaching computers to think and learn like humans—at least a little.
AI is already around you:
- Google search suggestions
- YouTube recommendations
- Chatbots
- Face recognition on phones
- Spam email filters
You don’t need to build AI to benefit from it.
First, you just need to understand how it works and how it’s used.
That’s exactly what these free AI courses with certificates help you do.
The Right Mindset Before You Start Any AI Course:
Most beginners fail not because AI is hard—but because they start with the wrong mindset.
Common Fears (Totally Normal):
- “Free courses won’t be respected”
- “I’m not good at math”
- “I don’t have a technical background”
- “What if I don’t understand anything?”
Take a breath.
The Correct Beginner Mindset:
- You are learning concepts, not becoming a scientist
- Progress matters more than speed
- Certificates are proof of effort, not perfection
Think of AI like learning to drive.
You don’t start with a Formula 1 car.
You start with basics.
Why Free AI Courses with Certificates Are Worth It in 2026?
Let’s clear this doubt once and for all.
Yes, free AI courses can be valuable.
When they come from trusted platforms.
They help you:
- Understand AI fundamentals
- Improve your resume
- Build confidence
- Decide if AI is right for your career
And most importantly…
You lose nothing except time—and you gain clarity.
Now, let’s get to the list you came for.
9 Best Free AI Courses with Certificates in 2026:
Below are carefully chosen courses that are:
- Free (or free with certificate option)
- Beginner-friendly
- Recognized globally
- Easy to follow at your own pace
1. AI for Everyone – Andrew Ng:
Platform: Coursera
This is one of the best starting points for absolute beginners.
What You’ll Learn?
- What AI can and cannot do
- How AI is used in real businesses
- Common myths about AI
Why It’s Beginner-Friendly?
- No coding
- No math
- Pure concepts, explained simply
Certificate:
- Free to learn
- Certificate available via financial aid
Best for: Non-technical learners, students, managers
2. Introduction to Artificial Intelligence – IBM:
Platform: IBM (via Coursera)
What You’ll Learn?
- Basics of AI, ML, and deep learning
- AI use cases in real industries
- Ethics of AI
Key Highlights:
- Taught by a global tech company
- Beginner-level explanations
- Short modules
Certificate:
- Free with financial aid
Best for: Resume builders and corporate learners
3. Google AI for Beginners:
Platform: Google
Google offers simple learning paths under its AI initiative.
What You’ll Learn?
- Machine learning basics
- AI tools used by Google
- Real-world examples
Why It’s Powerful?
- Trusted brand
- Clean explanations
- Practical insights
Certificate:
- Free certificate available
Best for: Students and job seekers
4. Introduction to AI – Microsoft Learn:
Platform: Microsoft
What You’ll Learn?
- AI workloads
- Machine learning basics
- Responsible AI concepts
Why Beginners Love It?
- Short lessons
- Interactive learning
- Clear structure
Certificate:
- Free completion badge
Best for: Beginners who like step-by-step learning
5. AI Basics for Everyone – Udemy (Free):
Platform: Udemy
What You’ll Learn?
- AI terminology
- How AI impacts jobs
- Everyday AI tools
Things to Know:
- Certificate available
- Course quality varies (check ratings)
Best for: Casual learners and fast starters
6. Elements of AI:
Provider: University of Helsinki
This course is famous worldwide.
What You’ll Learn?
- How AI works
- Societal impact of AI
- Logical thinking behind AI
Why It’s Special?
- No coding required
- Used by governments and universities
- Extremely beginner-friendly
Certificate:
- Free certificate
Best for: First-time learners
7. AI Foundations – LinkedIn Learning:
Platform: LinkedIn
What You’ll Learn?
- AI fundamentals
- Career relevance
- Business use cases
Certificate:
- Free certificate during trial period
Best for: Professionals and fresh graduates
8. Machine Learning Crash Course:
Platform: Google Developers
What You’ll Learn?
- Core ML concepts
- Visual explanations
- Practical understanding
Note:
- Slightly technical
- Still beginner-friendly
Certificate:
- Free completion badge
Best for: Curious learners ready to go deeper
9. AI Ethics and Responsible AI:
Platform: Microsoft / IBM
What You’ll Learn?
- Ethical AI use
- Bias and fairness
- Real-world implications
Why It Matters?
AI is not just about technology—it’s about responsibility.
Certificate:
- Free
Best for: Students and future professionals
How to Choose the Right Free AI Course?
Ask yourself three simple questions:
- Do I want concepts or coding?
- Concepts → AI for Everyone
- Coding later → Google or IBM
- Do I need a certificate?
- Yes → Coursera, Microsoft, Google
- How much time can I give daily?
- 30 minutes is enough
👉 Choose ONE course. Not three.
Step-by-Step System to Complete Any AI Course Successfully:
Step 1: Block Small Time Slots
- 20–30 minutes a day
- Same time every day
Step 2: Learn, Don’t Rush
- Pause videos
- Take notes
- Rewatch if needed
Step 3: Apply Light Learning
- Explain concepts in your own words
- Share what you learn with a friend
Step 4: Finish and Claim Certificate
- Certificates boost confidence
- Add them to LinkedIn or resume
How to Track Your AI Learning Progress?
You don’t need fancy tools.
Just track:
- Course started
- Lessons completed
- Date finished
- Certificate earned
Use:
- A notebook
- Google Docs
- Notes app
Consistency beats intensity.
Common Mistakes Beginners Make (Avoid These):
- Starting too many courses
- Quitting halfway
- Comparing yourself to experts
- Expecting instant results
Remember:
You’re building knowledge, not racing.
Conclusion: Start Your AI Journey Today, Not “Someday”
AI is no longer optional.
But learning AI does not have to be hard, expensive, or scary.
With these 9 free AI courses with certificates in 2026, you now have:
- A clear starting point
- Trusted platforms
- Zero financial risk
- A step-by-step system to succeed
Don’t wait for confidence.
Confidence comes from starting.
Choose one free AI course today.
Spend just 20 minutes.
Finish what you start.
Your future self will thank you.
Start now. AI is waiting.
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