Let me be honest… I’ve tried everything except cloning myself.
But until that day comes, I had one option: figure out how to make AI work for me.
You see, time is one of the rare things God gives equally to everyone.
Rich, poor, young, old—we all get 24 hours. But some of us? We need 36. Minimum.
Especially when you’re juggling meetings, fires, emails, demos, hiring, strategy… and pretending you’re not tired in front of your kids.
Two years ago, I made a decision.
I said: “I won’t just read about AI… I’ll master it.”
Not by watching YouTube gurus or waiting for someone to train me.
I tested the tools myself. I failed a lot. I kept going.
Now, I’ve built an AI workflow that gives me back ~25 hours every single week.
I will now provide a step-by-step explanation of how I reclaimed my time by utilizing AI.
Use Case #1: Talking My Emails Into Existence
There’s something I need to confess:
I hate typing. Not because I can’t, but because it slows me down.
As a CEO, I have too many things happening at once—calls, fires, decisions, last-minute “Can you just review this?” messages.
And then there are the emails. Dozens every day.
Customer replies, partner follow-ups, internal updates, hiring coordination…
I was spending nearly 3 hours a day just on writing.
Worse? I realized I express myself better when I talk, not type.
When I type, I overthink. When I talk, I’m natural, clear, and fast.
So I built a system.
Now, when I want to send an email, I just speak—like I’m leaving a voice note for a friend.
I use FlowVoice to capture what I say. It turns my voice into text.
Then I feed it into Google Gemini or Superhuman’s AI assistant, and boom:
Professional, to-the-point, typo-free emails. Drafted while I’m walking around the house.
Sometimes I even do this while brushing my teeth.
Yes—AI gave me back my mornings.
Update:I used to try many different tools, but now I use Fyxer exclusively because it handles everything that I was doing with multiple tools.
Use Case #2: Answering Emails Before I Blink
There’s a second type of email—the ones that don’t need deep thought.
“Thanks.”
“Looks good to me.”
“Can you send that by Friday?”
But even those eat your time. You open the email, read it, pause, think about tone, type the reply, re-read it, then hit send.
Now repeat that 30 times a day.
So I asked myself: What if I didn’t have to do any of that?
Enter Fyxer. It reads the email for me, understands the context, and writes a reply that sounds like me—but faster.
No tab switching. No guessing what to say.
It even knows when I’m being polite vs. when I need to be direct.
This little upgrade saves me around 30 to 45 minutes a day, and it makes me look incredibly efficient… maybe even too efficient.
(Sometimes I worry people think I don’t sleep.)
Use Case #3: Multilingual, Multi-Platform Communication Without Thinking Twice
In our company, we don’t speak one language—we speak three.
Turkish. English. Spanish. And sometimes all three in the same email thread. 😅
I used to lose energy just switching between them.
Is this the right word? Will it sound rude? Is my grammar okay?
Not anymore.
With tools like WhisperFlow, I can write in whatever language I’m thinking in—and get a fluent version in another.
It’s like having an in-house translator who also knows my tone, mood, and who I’m talking to.
Now I don’t overthink. I don’t translate manually.
I just say what I mean—and let AI handle the rest.
It gives me confidence in global conversations without feeling like I’m walking a language tightrope.
Use Case #4: The AI That Takes Notes Better Than Me
Let me tell you something about me:
I’m the kind of guy who takes notes like my life depends on it.
At any moment, you could find me with 4 or 5 different notebooks.
Two at home, one in my bag, one on my desk, one in my pocket…
And no, I’m not talking about digital apps. I’m talking about real, old-school paper.
Why? Because I truly believe that writing things down helps me remember.
And as someone juggling 10 things at once, forgetting is not an option.
But here’s the problem:
I spend about ~4 hours a day in meetings.
And in those meetings, I’m not always in a good state to take notes.
Sometimes I’m tired. Sometimes I talk. Sometimes I’m mentally in a different galaxy.
And in the middle of that chaos, I miss things—important things.
So I started using AI.
Now, instead of trying to capture every word, I just record the meeting.
Then I use AI tools like Limitless or Fireflies to:
Transcribe the whole thing
Summarize key points
Highlight action items
And even tag who asked what question—and how many times they repeated it 😄
One time, an AI tool caught a client mentioning a competitor’s name—something I completely missed. That single detail changed how we handled the deal.
It’s not just about notes anymore.
It’s like having a silent assistant in every meeting who never misses a beat, never gets tired, and always remembers who said what.
And just like that, I save around 1 hour per day—no more messy notebooks, no more rewatching recordings, no more “What did he say again?”
Just clear, clean, AI-powered notes… and yes, I still keep one notebook. Old habits die hard.
Use Case #5: Turning My Walks Into Presentations
Once upon a time, going for a walk meant clearing my head.
Now? It means creating an entire presentation—without touching a keyboard.
As a CEO, I present all the time. Sometimes I create the slides myself. Other times, someone from the team builds them for me.
But either way, the content—the message, the tone, the story—it has to come from me.
And believe me, prepping for these talks used to take me around 3 hours each.
Thinking through what to say… to whom… what to emphasize… what story to tell…
I’d fill pages with mind maps, outlines, and sticky notes. It felt like writing a novel every time.
Then I had an idea:
What if I stopped sitting down to prepare… and started walking?
Now, I go out for a walk—1 hour, sometimes 90 minutes.
And as I walk, I just talk out loud.
I speak the way I want to present. I think with my voice.
AI tools like MacWhisper, SuperWhisper, Otter, and Fireflies listen as I talk, and turn my raw thoughts into:
Presentation outlines
Meeting notes
Weekly plans
Even full blog drafts and talking points
Some tools (like NotebookLM) act like a second brain, organizing my thoughts into structured documents that I can hand off or build on.
What used to be a boring, slow part of my week is now something I look forward to.
I move my body. I clear my head. And I still get more done than I used to at my desk.
That’s not productivity. That’s a superpower.
Use Case #6: Reading 15 Industry Reports Without Actually Reading Them
Here’s the thing: I love reading and learning.
Especially when it comes to startups, cybersecurity and behavioral science, I want to stay sharp.
But staying sharp takes time—and that’s the one thing I’m always short on.
Every single week, I come across 10 to 15 new industry reports or research papers.
Some are short. Others are monsters—40+ pages of technical language, charts, attack flows, and “State of X in 2025” predictions.
All useful. All valuable.
But also… unreadable in bulk when you’re running a company.
I used to keep a reading backlog—
“This one I’ll read on Saturday.”
“This one looks short, I’ll squeeze it in.”
Spoiler: I never did.
Now, I don’t fight the clock—I use AI summarizers instead.
One of my go-to tools is fabric
I feed the reports into it—PDFs, URLs, whatever format.
And it gives me:
Executive summaries tailored to my perspective
Key stats pulled out automatically
Bullet points for insights I care about
Optional deep dives if I want to go further
It’s like having a personal research analyst who knows how I think.
Even better? I can prompt it.
“Tell me what this report says about ransomware trends in LATAM.”
Boom. Instant insights. No more scanning pages for keywords.
I don’t just save time—I stay ahead.
While others are still halfway through the table of contents, I’ve already moved on to my next strategy meeting.
Use Case #7: Turning Every Car Ride into an Audiobook (of Cyber Reports)
There are days when I don’t even have time to read the summaries of the reports I just summarized.
I know that sounds ridiculous… but it’s real.
Between back-to-back meetings, family, driving, or just needing a break from screens—sometimes even a 2-minute executive summary feels like too much.
That’s when Speechify became my secret weapon.
It’s a text-to-speech AI tool that reads out anything—emails, PDFs, long reports, even your to-do list—using some of the most natural-sounding AI voices I’ve ever heard.
We’re talking Snoop Dogg, Gwyneth Paltrow, and even MrBeast if you’re feeling spicy. (I once had Snoop explain threat actor TTPs… oddly motivating.)
More importantly, it turns passive time into productive time.
Driving to the office? I’m listening to the latest ransomware trends.
Washing dishes? Catching up on Gartner.
Walking to a meeting? Having my AI voice clone read my own notes back to me.
As someone who learns better by listening, Speechify has helped me retain more info, faster.
And yes—you can speed it up to 2x or more. It’s like upgrading your brain to audiophile mode.
This tool gave me back “lost time”—those gaps in the day when I’d normally zone out.
Now, I stay in sync without sitting down or staring at a screen.
Use Case #8: I Don’t Watch Every TED Talk—AI Does It For Me
There are about 70 to 80 podcasts and YouTube videos I should be listening to—
from deep-dive threat intelligence interviews to TED Talks that stretch my thinking.
And I know they’re valuable.
These aren’t fluff. They’re filled with insights that make me better at what I do.
But there’s one big problem:
I don’t have time to consume all of them… and my brain can’t hold it all anyway.
In a good week, I might listen to five—maybe while commuting or during a quick break.
But the rest? That’s where AI takes over.
Now I use tools like Google AI Studio and NotebookLM to:
Transcribe podcast episodes and YouTube videos
Summarize them into key takeaways
Tag recurring themes so I don’t hear the same idea 10 different ways
And store the best bits in my AI-powered “second brain” for future reference
So instead of spending 45 minutes listening to each podcast, I spend 5 to 6 minutes per episode reviewing their essence.
Sometimes, I even get AI to highlight what’s new—not just what’s said, but what’s different from similar episodes I’ve already seen.
Honestly, this changed how I learn.
Now I get the value without the overload.
And when I do listen to a full episode or talk, I already know what to focus on—because I’ve seen the AI’s notes.
It’s like a personal podcast assistant who knows what I care about and respects my time.
Use Case #9: AI Became My Kids’ Study Buddy (So I Could Be Their Dad Again)
Helping your kids with homework sounds simple… until you try to explain 2-6th-grade math in a way the teacher didn’t.
See, when my kids ask for help—especially with subjects like math or science—I want to be there for them.
But here’s the problem:
I learned these subjects one way, they’re taught a completely different way now.
And that leads to confusion. Frustration. Sometimes even tears (from both sides 😅).
So we brought in someone who never gets tired, never loses patience, and never says “Google it.”
Her name? Eya.
She’s our family’s AI tutor.
When one of my sons gets stuck on a topic, he shows it to Eya.
She explains it visually, step by step, in language and examples appropriate for his grade level.
He can pause. Ask follow-up questions. Rewatch it as many times as he needs—no judgment, no rush.
And Eya learns too.
She tracks what he already knows, where he struggles, and what he should review.
So on weekends, I can ask Eya to:
Prepare custom quizzes on the topics he’s behind on
Use his school test scores to create personalized study plans
And even give me better feedback than the actual school report cards
The best part?
I don’t have to be the teacher anymore—I get to be the dad again.
Our study time is smoother, calmer, and way more effective.
And yes, I now have an AI co-parent… and I’m not even mad about it.
Use Case #10: Building a Braver Kid, One AI Bedtime Story at a Time
Every evening around 8 PM, my youngest son climbs into bed—
not just to sleep, but to step into a story.
And there’s one condition:
He doesn’t want just any story.
He wants a story where he’s the hero.
Where his name is in it, his fears are faced, and his heart learns something new.
For a long time, I tried to invent these stories myself.
Sometimes I’d get lucky and find the words.
Other times, I was tired. Out of ideas.
And honestly, some nights I just didn’t have the energy to make it magical.
That’s when I discovered SleepyTale.
It’s an AI-powered storytelling platform where I can:
Create personalized bedtime stories
Add my child’s name, age, and personality
Choose themes like bravery, kindness, facing bullies, trying new things
And generate full narratives that feel written just for him
One of his favorites?
A tale about three brothers and their talking cat and dog, building a spaceship to go to Mars.
The youngest one—just like him—was scared.
He said, “I don’t think I can do this.”
But his older brothers encouraged him: “Just take the first step. The rest will come.”
He listened to that story five nights in a row.
Not because it was perfect. But because it was his.
His story. His struggle. His growth.
And that’s the secret.
Through these stories, I don’t just help him sleep.
I help him believe in himself.
I teach him about courage, resilience, compassion—without the lecture.
And when he sees a version of himself who doesn’t give up in a story, he shows up stronger the next day in real life.
The best part?
I get to be present, calm, and connected—without scrambling for a new story every night.
Use Case #11: Staying Ahead of Cyber Threats Without Drowning in Feeds
In my world—threat intelligence—the news never stops.
Every day, there are dozens of new cyberattacks.
Some are small. Some are headline-worthy.
But all of them have one thing in common:
They carry lessons I need to learn.
Before, I tried to keep up manually.
I’d jump from Twitter to Reddit, from threat blogs to analyst reports.
Open 12 tabs. Skim. Bookmark. Forget. Repeat.
It was chaos.
Not because I wasn’t interested—because I didn’t have the time.
Now, I let my AI agent do the scanning for me.
Using tools like Eya and more recently Grok, I created a system:
I feed it the blogs, Twitter accounts, and sources I trust
It watches for duplicate content, hot takes, and emerging trends
Then it gives me a single, clean summary—no noise, no FOMO
If five analysts tweet about the same APT technique?
I get one paragraph, not five threads.
If a threat report is reposted on three blogs?
I only see the unique angle, not the copy-paste.
What used to take me hours of jumping between tabs,
now takes me 10 minutes over coffee.
And here’s the best part:
I’m still just as informed—sometimes even more—because the signal-to-noise ratio has improved.
I spend less time chasing updates, and more time thinking strategically about what they mean.
Use Case #12: My AI Memory Never Forgets a Weekly Reports
Every week, I receive reports from 6 to 7 managers—
different formats, different tools: PDFs, Excels, emails…
some written at midnight, some on the fly, some carefully crafted.
And every week, I face the same challenge:
How do I read all this, remember it all, and act on it… without losing my mind?
It’s not just about reading.
It’s about understanding patterns, tracking decisions, and remembering what was said—weeks ago.
And let’s be honest: My brain is already juggling enough.
So I built a system.
Now, I use a local LLM-powered app—kind of like my own private ChatGPT.
Every report my team sends, I forward to it.
Emails, documents, updates—it stores, reads, and understands everything.
Here’s what happens next:
It gives me personalized summaries for each report
Highlights what I need to comment on, and suggests possible feedback
Tracks recurring goals, blockers, and missed KPIs
And if I ever forget what we discussed last quarter?
I just ask it, and it reminds me—instantly
Over time, it’s become more than a tool.
It’s become a “second brain” for my leadership work.
It sees everything. It remembers everything. And it never, ever gets tired.
Now, I don’t waste time digging through folders or email threads.
I don’t second-guess if I already gave feedback on something.
And I never hear myself say “Wait—didn’t we already talk about this?”
Because AI remembers it all… so I don’t have to.
Use Case #13: My AI Spy Watches the Competition While I Sleep
Let’s face it—I work in one of the most competitive spaces out there.
Cybersecurity is not just fast-paced; it’s a battlefield.
Every week, a new player enters. A known name gets acquired.
Someone launches a new module. Someone drops out of the race.
In this kind of market, you can’t afford to look away.
But here’s the problem:
To properly monitor your competitors, you’d usually need a dedicated analyst team.
Tracking websites. Watching webinars. Following social posts. Analyzing hiring trends.
I don’t have time for that.
But I do have an AI agent that does.
I built a system that:
Monitors competitors’ websites, social media, and product pages
Tracks who joined or left their team
Flags feature updates, marketing language changes, or new customer logos
And even summarizes their event attendance and partnership moves
Every week, this AI agent gives me a clean report—15 to 20 minutes to read—with everything I need to know:
“Company X launched a new dark web module.”
“Company Y’s CMO left and joined a fintech startup.”
“Competitor Z is now partnering with AWS.”
And all of it, in context.
It doesn’t just say what happened—it tells me why it matters.
It’s like having a 24/7 market intelligence analyst…
…except it doesn’t sleep, doesn’t take breaks, and doesn’t miss a thing.
Use Case #14: I Build Prototypes in 5 Minutes (Without Touching a Line of Code)
Sometimes, I just need to show something.
A product idea.
A dashboard concept.
A feature vision I’ve been thinking about for weeks.
Whether it’s for my dev team or a potential partner,
there’s always this gap: How do I turn my idea into something visual—fast?
In the past, I’d either spend hours trying to explain it,
or wait days for someone to mock it up.
Now? I just prompt it.
Thanks to tools like Deepsite, V0.dev, Lovable, Bolt, and Replit,
I can turn an idea into a clickable MVP or a UI sketch in minutes.
Here’s how it usually goes:
I describe what I want in natural language:
“An admin dashboard with threat levels, recent alerts, and a user search bar.”The AI builds it visually.
I can tweak the layout, test workflows, and even export basic code if needed.
It’s not just time-saving. It’s mind-to-screen magic.
And here’s the bigger win:
I don’t need to be the developer.
But I still get to be the technical CEO—the kind who can translate vision into reality, without bottlenecks.
This doesn’t just save hours—it keeps momentum alive.
When a good idea hits, I no longer say, “Let’s plan this for next sprint.”
I say, “Here’s what it looks like. What do you think?”
Use Case #15: I Use AI as My Thinking Partner, Coach, and Challenger
When you’re leading a company, there’s one truth no one talks about:
You don’t always have someone to challenge your thinking.
Sure, you have a board. A leadership team. Advisors.
But before the big meetings—before the pressure, the questions, the strategy debates—
you need someone to say:
“Have you really thought this through?”
That’s why I started using AI as my coach.
Here’s my process:
Before an important meeting (like a board review, investor pitch, or partner strategy call),
I talk through everything out loud—my ideas, numbers, fears, goals.I record it, and the AI turns it into slides, documents, and talking points.
Then comes the powerful part: I ask the AI to challenge me.
“What assumptions am I making?”
“Where am I spending too much time?”
“What would a first-principles thinker question here?”
“How could this backfire in six months?”
Using structured thinking models like First Principles and Second-Order Thinking,
AI helps me zoom out, dive deep, and stress-test my logic.
Sometimes it points out that I’m focusing too much on vanity metrics.
Sometimes it shows me I’ve ignored a second-order risk.
Sometimes it simply says:
“What if you’re wrong?”
And that’s a gift.
I also use AI to analyze feedback I’ve received—from board members, team leads, or even anonymous surveys—so I don’t just react emotionally, but reflect strategically.
This has been one of the most powerful shifts in my leadership.
Because every good CEO needs someone who won’t just agree…
but will push, question, and stretch them.
Now I have that.
And it’s always available, always honest, and never afraid to say:
“You can do better.”
Use Case #16: AI Helps Me Never Forget the Important Stuff
I’m a big believer in checklists.
Not because I forget things easily—
but because I know the cost of forgetting the wrong thing at the wrong time.
Whether I’m heading to RSA, prepping for a board meeting, or managing a critical hiring round,
I don’t leave anything to chance.
I want to walk into the room calm, focused, and prepared.
But here’s the thing:
When I’m under pressure, I don’t think clearly.
So instead, I plan ahead—with AI.
I’ve trained Eya to be my checklist assistant.
Whenever I’m about to do something important, I simply say:
“I’m hiring a new CSM in LATAM. Give me a checklist.”
“I’m flying to RSA. What do I need to prep before, during, and after?”
“I have a board meeting coming up. What questions should I ask myself?”
Eya doesn’t just spit out a generic list.
It remembers my past checklists.
It adjusts based on context.
It even includes things I would’ve forgotten—small but critical details that only come to mind when you’re not in a rush.
Now I have:
Pre-flight checklists for every trip
Hiring checklists tailored to role, region, and seniority
Meeting checklists that cover before, during, and after
This system saves me mental energy.
I don’t have to carry everything in my head.
I just open the checklist, breathe, and execute.
It’s one of the simplest AI workflows I use—
but also one of the most powerful.
Use Case #17: I Use My Laptop Like It’s ChatGPT
My laptop is full of knowledge—
hundreds of documents, reports, emails, drafts, strategies…
but the problem is: I can’t always remember where the knowledge lives.
So I turned my computer into a ChatGPT-style assistant.
Using a local LLM-powered app, I can now ask:
“What did I write about APAC hiring in February?”
“Which deck had the MSSP pricing update?”
“What were my notes from last year’s RSA?”
And instantly, I get answers pulled from inside my own files.
It’s fast. Private. And feels like searching my second brain.
No more digging through folders or opening 12 PDFs just to find a number.
Now, I just ask—and it answers.
This isn’t just about saving time—it’s about taking control of your time.
Whether you're a CEO, a founder, or someone just trying to balance work and family like I am—AI can become your second brain, your assistant, your coach.
These tools didn’t just save me 25 hours.
They gave me back energy, focus, presence.
And the best part? This is just the beginning.
If you found even one use case here helpful, share this post with someone who’s still drowning in emails or spreadsheets.
And if you’re curious about the exact tools I use in each category, drop a comment or message me—I’ll send you my full stack.
All the tools mentioned in this article.
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