Sharon Gillenwater has done it before. Fourteen years building a B2B SaaS company from scratch, bootstrapped, no venture capital, sold for $25 million. Then a private equity firm shut it down without warning. When she called to buy it back, they didn't know the company name, the revenue, or what the product did.

So she rebuilt it. With AI. And a healthy amount of spite.

Sharon is a four-time founder who has lived through dot-com, early SaaS, and now the AI wave. Her new company, ExecutiveIQ, helps enterprise go-to-market teams build the kind of relationships that actually close deals. Her view on the current moment is simple: anyone can wrap an LLM and call it a product. Without real domain expertise behind it, you have no moat.

What You'll Learn

Why most AI products have no moat: The companies that survive this wave will be the ones who actually know something — and can build on top of that knowledge in a way nobody else can replicate.

Why human judgment still matters: The best products aren't fully automated. Sharon explains exactly where AI falls short and why the combination of domain expertise and human oversight is what actually wins.

What it really costs to build with AI: Sharon burned through $1,000 of Anthropic credits in six hours while on holiday in Mexico. Everyone is figuring out the economics of this in real time.

Sharon is one of the most grounded people I've had on this show. No performance, no hype — just someone who has built the hard way, lost something she cared about, and decided to go again.

Connect with Sharon

Website: executive-iq.com

Newsletter: scalingwithsoul.substack.com

LinkedIn: linkedin.com/in/sharonkgillenwater

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

Ghita El Haitmy came to that realization while building Techbible. What started as a platform to help teams discover new software quickly revealed a much deeper issue. Most companies don’t actually understand their own tech stack. They don’t know which tools overlap, which ones go unused, or how much they’re really spending. More importantly, they don’t have a clear way to decide what work should be automated, what should stay human, and how AI fits into real workflows.

So Ghita pivoted.

In a world where new tools launch weekly and AI models change overnight, the challenge isn’t discovery anymore. It’s visibility and judgment. It’s knowing what you already have, what you actually need, and how to use AI without creating more complexity.

This conversation explores how teams can step back and build clearer systems around AI. It’s less about what to adopt next and more about how to make better decisions, avoid unnecessary complexity, and design workflows that actually support the way teams work.

It’s a grounded, practical conversation about AI, tools, and the future of work, without the hype.

What You’ll Learn

Visibility Before Discovery: Why knowing what your team actually uses, and what it costs, matters more than chasing shiny new AI tools.

Orchestration Is the New Skillset: Why understanding what each AI model is good at matters more than learning a new tool every week.

How AI Spend Quietly Gets Out of Control: Why overlapping tools, agents, and subscriptions add up fast, and how to design workflows that reduce waste instead of creating more.

What Should Stay Human: Why the future of work isn’t about automating everything, but about protecting the parts of work that require trust, context, and decision-making.

Ghita’s perspective is a reminder that the teams who win won’t be the ones with the biggest tech stacks, but the ones who know how to think clearly about AI, design better systems, and use technology in service of the way they actually work.

Learn More: 

Website: techbible.ai

LinkedIn: Ghita El Haitmy

But as Olivier and Naunidh explain, most of the real problems in private markets aren’t technical. They’re about trust, workflow, and the quality of the underlying data.

Tetrix was built to solve those problems. In just a year, the team has grown 10x, signed dozens of institutional clients, and developed a platform that automates the most painful parts of data collection and analysis, while keeping people in the loop where judgment matters most.

Instead of chasing hype, they spent months speaking with more than 400 investors, from VCs and LPs to asset managers, to understand where decisions actually break down. The answer wasn’t “more AI.” It was cleaner data, clearer context, and tools investors could rely on.

What You’ll Learn

- Where AI really helps: How Tetrix automates the slow, manual parts of private-market workflows and where human insight is still essential.

- Why private-market data is so messy: And how better structure and context unlock stronger, faster analysis.

- How to build AI people trust: Why transparency, accuracy, and deep customer understanding matter more than any single model.

- How to scale in a conservative industry: Lessons from 400+ conversations, fast iteration, and staying close to real investor workflows.

Olivier and Naunidh’s story is a reminder that the future of private markets won’t be fully automated. It will be augmented, pairing AI with the human judgment that drives the best decisions.

Learn more

Website: tetrix.co

LinkedIn: Olivier Babin | Naunidh Bhalla

In this episode, I’m joined by João Carvalho, a machine learning PhD who spent years at ETH Zurich studying why AI fails, and Wael Abdelmalek, former AWS architect who helped global enterprises turn their expertise into production-ready AI systems.

They met at a hackathon in Zurich and quickly realized they were solving the same problem from opposite sides. That moment became Uthereal — one of Switzerland’s top startups and a platform that lets companies build secure, business-grade AI systems trained entirely on their own data, with their own guardrails, and without exposing anything to Big Tech.

We talk about what it really takes to build trustworthy AI, why so many GenAI pilots never make it to production, and how companies can protect their data while still moving fast.

What You’ll Learn

- Why AI Fails: A clear look at hallucinations, reliability gaps, and why “80% accuracy” isn’tenough for expert domains.

- Building Private AI: How Uthereal creates business-grade “ChatGPTs” that stay inside your cloud — fully private, fully controlled, and built on your own knowledge base.

- From Pilot to Production: Why 95% of GenAI projects stall after the demo, and what companies need to do differently to make AI work in the real world.

- Security & Trust: What most teams don’t realize about data leakage, model backdoors, and the risks of sending sensitive information to public LLMs.

The Future of Work: Why AI is an empowerment tool, not a replacement — and where human judgment still matters.

Uthereal’s story is a reminder that real AI value isn’t about chasing hype — it’s about turning what your business already knows into something scalable, secure, and built to last.

Learn More

Website: uthereal.ai/

LinkedIn: João 

LinkedIn: Wael

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

When Nomiki Petrolla’s six-week-old daughter was on a ventilator fighting for her life, she walked into her house from the hospital, handed her baby to her husband, and quit her job as head of product at an AI company. That moment changed everything.

After 15 years building products for other people, that crisis pushed her to bet on herself, and on the women who kept coming to her with ideas but no access. She launched a consultancy and helped 43 women build their first tech products in a single year, proving the problem was real: women with strong ideas had no clear path to build, test, or launch without technical skills, capital, or permission.

That momentum became Theanna, a platform now helping hundreds of women go from idea to revenue with AI-powered roadmaps, real community, and a repeatable path to traction.

This episode is about the moments that force reinvention, and why belief is the foundation of every founder’s journey.

What You’ll Learn

- AI as an Accelerator: Where AI truly speeds up execution, where it still falls short, and how Theanna uses Anthropic and GPT-based workflows to guide founders from idea to traction.

- The Real Startup Timeline: Why “move fast” doesn’t mean skipping the hard parts, and how patience, resilience, and community compound over time.

- Women, Access & the Gap: What happens when women receive less than 2% of venture capital, and how platforms like Theanna help close the gap by making early traction accessible.

- Belief as a Founder’s First Investment: Why starting before you feel ready is often the only way to break through, and how to know when to pivot, persevere, or push harder.

Nomiki’s story is a reminder that in the AI era, tools and community can democratize entrepreneurship — but it all starts with believing you can build something that didn’t exist before.

Learn More

Website | LinkedIn

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

After 13 years building engineering teams at Square, Waymo, and Lyft, Danielle McLaughlin walked away from corporate recruiting to start 18C Partners, a boutique agency focused on helping women in tech find roles that match their worth.

Now she’s taking that mission to scale with 18C.ai, an AI-powered recruiting platform designed to enhance human connection, not replace it.

In this episode, we talk about what happens when you bring AI into the parts of recruiting that matter most — not sourcing more resumes but understanding people.

What You’ll Learn

- AI & Recruiting: Why the smartest recruiters are using AI in the middle of the funnel for data, matching, and insight, not just at the top.

- Negotiation Power: How Danielle coaches women through high-stakes negotiations to unlock life-changing opportunities.

- Building with Purpose: The real story behind launching 18C, and why patience, resilience, and self-trust matter more than milestones.

- The Human Edge: Why empathy, context, and relationships will always be the real competitive advantage in an AI-driven world.

Danielle’s story is a reminder that while AI can make recruiting faster, it can’t replace what makes it work: trust, purpose, and real connection.

Learn more

18c.ai | linkedin.com/in/daniemclaughlin/

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

In this episode, I’m joined by Sam Ogborn: professor, founder, and marketing strategist who left corporate life at Red Bull and Walgreens to experiment online — starting with anonymous whiteboard videos, cringe posts, and therapy-level self-reflection. By being honest about the messy middle, she built an audience of 170,000+ and a new career helping others navigate the world of AI, social media, and the creative freedom that comes from learning by doing.

Sam’s philosophy is simple but powerful: value creates visibility, living in the gray beats black-and-white thinking, and curiosity will matter more than follower counts.

We explore her boredom-fueled career pivots, how she conquered the “cringe” of showing up, and why she’s choosing nuance over extremes in AI — from deepfakes and trust erosion, to the rise of decentralized platforms, to the reality that bots now outnumber humans online.

What You’ll Learn

Living in the Gray: Why the most interesting thinkers reject the “AI is good / AI is evil” binary — and how black-and-white thinking kills curiosity.

Overcoming Social Cringe: Practical steps to push past judgment fears through anonymous testing and embracing outlier status for authentic growth.

AI, Ethics, and Uncertainty: How to balance optimism with real risks like deepfakes, Sora 2, and environmental accountability.

The Rise of Decentralized Social: What comes after TikTok and Instagram, and why the next era of social will give creators more ownership and choice.

Value = Visibility: Why giving more than you take is still the most sustainable growth strategy — online and off.

Sam’s story is a reminder that the future of work and creativity won’t belong to the loudest voices or the most polished brands — it’ll belong to the people brave enough to stay curious, question the extremes, and keep showing up as themselves.

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

In this episode, I sit down with Trip O'Dell, co-founder and CEO of 5xFive, whose journey from high school teacher on the Pine Ridge Reservation to leading design at Audible and Alexa proves that outliers see what others miss.

Trip calls himself "OG neurodivergent from 1979" — when teachers told his parents to find him a good trade school because he wasn't college material. Today, he's emerging from stealth to tackle one of the biggest inefficiencies in business and education: how we misunderstand information itself.

His contrarian view on AI is clear: this isn't about replacing humans — it's about amplifying human intelligence. We dive into why most AI companies are building "bigger megaphones" when we actually need "better headphones."

His advice to leaders? If you're using AI to reduce people costs, you're setting yourself up for expensive disappointment. 

What You’ll Learn

The Understanding Problem: Why communication, not technology, is at the heart of so many inefficiencies and how AI can fix it. 

Human Intelligence First: How building “better headphones” instead of louder megaphones creates more powerful, human-centred tech.

Why Outliers Win: The people who've had to work around systems often hold the keys to innovation. 

Privacy-First AI: How 5xFive is building AI that people can actually trust with their data. 

Tripp’s story is a powerful reminder that the future of AI isn’t about automation, it’s about humanity. It’s about building systems that meet people where they are and backing those who see what others miss.

Because the people who don't fit the system often end up redefining it. 

Connect with Trip: 

Website: 5xfive.com 

LinkedIn: Trip O'Dell 

Substack: fivex5.substack.com 

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

In this episode, I sit down with Sophie Theodorou, founder of Teach2AI, whose approach to everything from leaving the classroom to building a business proves that action trumps analysis every time.

Just a few years ago, Sophie was teaching middle school math and science in Winnipeg. Today, she's built a community of 100,000+ and trains teams at companies like Adobe, Samsung, and Google.

Sophie's secret? She doesn't overthink it. She tries it.

We dive into how a four-minute off-the-cuff TikTok generated $40,000 in affiliate revenue, why authenticity beats perfection in content creation, and how her "learning by doing" philosophy transforms how people approach AI and everything else.

What You’ll Learn

Why Doing Beats Thinking: How Sophie's action-first mindset helped her pivot from teaching to building a six-figure AI education business.

The Authenticity Advantage: How showing up as yourself, not a perfectly scripted version, builds trust, deepens connection, and drives real growth online.

AI as a Collaborator, Not a Crutch: How to use AI as a creative partner that amplifies your humanity rather than replacing it.

Making AI Simple: Sophie's framework for cutting through the noise and focusing on what actually works in your business.

Sophie proves that the best way to understand AI isn't to study it endlessly. It's to experiment with it. Her story is a reminder that curiosity beats credentials, doing beats thinking, and showing up as you are beats trying to be perfect.

Ready to stop thinking and start doing?

Connect with Sophie:

• Website: https://www.sophietheodorou.com/
• LinkedIn: Sophie Theodorou
• TikTok: @teach2ai
• Instagram: @teach2ai

Uncomplicated: Humans vs. Machines is produced by Urban Podcasts.

I'm Carly Jefferson. I've been building startups for over a decade, and I'm bringing you the founders who are writing the rules in real time. No BS, no hype - just honest conversations about what's working, what's breaking, and the big questions we need to have about AI ethics and where this is all heading.

We're talking about what to give to machines, what to keep human, and how to build companies when there's literally no playbook. If you're building with AI or trying to figure out what the hell is happening, this show is for you.

This is Uncomplicated: Humans vs Machines.

Uncomplicated: Humans vs Machines is produced by Urban Podcasts.