Here’s the truth we don’t say out loud enough: AI isn’t something you can simply opt out of anymore.

Even if you really wanted to turn it off, you can’t, not in any meaningful way. It’s in your phone every time you unlock it, in your fitness tracker counting your steps and monitoring your sleep, in your car adjusting routes and “helping” you drive, in your appliances learning your patterns, and in your computer quietly shaping what you see, what you click, and what you buy.

AI isn’t waiting for permission. It’s already woven into the background of daily life.

And what makes this moment different is that it’s not just automation, it’s an ultra-personalization shift. The world is moving from reactive to proactive: systems predicting what you want before you ask, nudging decisions before you even realize you’re making them. Convenient? Absolutely.

But it raises a bigger question: how much attention do we actually pay to the data being collected about us, constantly, across all these touchpoints?

If we can’t turn it off, what does meaningful consent even look like?

So in this episode, we’re going to unpack what “always on” really means.

I’m excited to share a brand-new episode where I sit down with CEO Jacklynn Morgan from Wellfed, a company using AI to fundamentally transform how we approach personal nutrition.

WellFed’s platform combines advanced algorithms with personal preference data to suggest recipes, build meal plans, and generate grocery lists that are tailored to your lifestyle, dietary needs, and taste profile.

In our conversation, we dive into how AI can move us beyond one-size-fits-all nutrition guidance and toward hyper-personalized meal experiences that fit our real lives.

We examine how WellFed’s predictive modeling and feedback loops enable users to develop healthier habits, reduce food waste, and integrate nutrition more seamlessly into busy schedules.

We also discuss the challenges and opportunities around data privacy, the collection of dietary preferences, algorithmic transparency, and how to ensure responsible AI in domains like food and health.

If you’re curious about how AI is unlocking new possibilities for nutrition, meal planning, and wellness—or you’re simply looking for ideas to bring technology and health together—this interview is for you.

Tune in, and let’s explore how smarter eating can become more accessible, enjoyable, and sustainable. 🎧

Today, we’re diving into one of the most transformative shifts happening in technology right now — the rise of platform engineering and its intersection with AI-powered DevOps.

For years, organizations have struggled with fragmented tooling, slow software delivery cycles, and growing infrastructure complexity. Cloud gave us scale. DevOps gave us velocity. But together, they also introduced a new challenge: how do we build systems that are fast, secure, reliable, and scalable without overwhelming engineering teams?

Enter platform engineering, a discipline focused on creating consistent, automated, self-service platforms that empower developers, reduce operational friction, and improve delivery speed.

With AI rapidly reshaping how we build and run software, platform engineering is taking center stage. Machine learning models are automating decision-making, copilots are supporting developers, and AI-driven observability is changing how we detect and resolve issues.

Which skills matter most, how AI and DevOps are converging, and why every modern organization needs to rethink how it builds and supports. The organizations that build strong internal platforms today will be the ones ready for AI-powered automation tomorrow.

In this episode, we sit down with a platform engineering expert to discuss how this role is evolving, what skills matter most, how AI and DevOps are converging, and why every modern organization — from startups to global enterprises — needs to rethink how they build and support engineering teams.

Whether you're a CIO, an engineering leader, a procurement professional evaluating technology partnerships, or simply curious about the future of enterprise technology, this conversation will give you a front-row seat to where the industry is heading — and why platform engineering is becoming a strategic advantage.

Let’s jump in.