Ryan Shenefelt, digital marketing and AI innovation lead at deNovo Marketing, has been in this work for 13 years. Over that time he's watched what happens when agencies and marketing teams use AI the way most people use it: to confirm what they already think, to move faster, to check the box.

In Episode 107 of the Digital Velocity Podcast, Ryan shares a different approach. He uses AI to argue against himself. When he has a hunch about a decision, he tells the tool where he's leaning and then asks for every reason he's wrong. He separates the "why" and the "why not" into two distinct prompts so the AI fully commits to each side rather than hedging both at once.

This episode covers:

● How to use AI as a contrarian thought partner when evaluating marketing strategy

● Why synthetic panels and persona-based focus groups can surface blind spots in a plan before money is spent

● The case for stopping new tool evaluation and mastering what you already have

● How Notebook LM reduces the risk of hallucinations by keeping AI grounded in your own data

● Using AI as a leadership coach to tailor communication across different personality types on your team

● What "vibe coding" made possible for someone with a limited development background

"I will straight up tell it, I'm thinking this. Why not? Give me five reasons. Give me 10 reasons why not. And it's doing that gut check. It's telling me okay, you think this, what about this?"

Ryan and Erik Martinez also discuss the practical reality of building AI capability inside an agency: why it takes longer than expected to start, how to identify the recurring tasks worth automating, and what it actually feels like to spend 10 hours on something that saves you 15 minutes, and why that's still worth doing.

Ryan Shenefelt is the digital marketing and AI innovation lead at de Novo Marketing. He leads the agency's AI task force and works across account management, digital advertising, and strategy.

What would happen if you had a version of yourself available every morning that already knew your values, your blind spots, and the two or three things that actually need your attention today?

In Episode 106 of the Digital Velocity Podcast, Erik Martinez sits down with Joe Newberry, founder of ExecClone.com, to explore how AI is changing the way high-functioning leaders work. Joe brings a background in tech, finance, and sales leadership to a practical question most business owners avoid asking out loud: how much of what I do every day actually requires me?

Joe tracked his own time and behaviors down to the minute across a 30-day period and found he was only hitting his top three strategic priorities about 40% of the time. The remaining 60% was consumed by what he calls the urgent box, fires, repetitive input requests, and administrative tasks that did not require his level of experience. That data became the foundation for Exec Clone.

The conversation covers the core concept of building an AI "clone" as a leadership tool, including how the True Mirror operating system onboards a user with over 150 personality and values-based questions to create a digital Chief of Staff anchored in who you are and who you are trying to become. Erik and Joe discuss the difference between an AI that knows your most recent conversations and one that holds your past, present, and 10-year goals in memory at once. They explore the concept of emotional drift.

The episode also addresses data security and Joe walks through how ExecClone handles sensitive personal data differently than most cloud-based AI agents, including the option to run the system on encrypted hardware shipped directly to the client.

For agency owners and business leaders who are doing the work alongside their teams, this episode offers a grounded look at what it means to use AI not just as a productivity tool but as a real accountability partner.

What does an agency actually sell when AI can produce the work? That's the question driving this conversation, and Brian Gerstner has a clear answer.

In Episode 105 of the Digital Velocity Podcast, host Erik Martinez sits down with Brian Gerstner, President and Owner of White Label IQ, an agency that works exclusively with other agencies. With over 25 years in the marketing industry, Brian brings a uniquely front-row perspective on how AI is reshaping the agency model and what it actually takes to stay relevant when the tools that used to make agencies valuable are now widely accessible to everyone.

The conversation centers on a fundamental shift: AI has raised the baseline for what "good" looks like across marketing, making ordinary, production-focused work insufficient. As Brian puts it, "AI's just going to beat the mediocrity out of all of us." The real competitive advantage, he argues, is no longer the ability to produce deliverables. It is the ability to orchestrate them through what he calls a Personalized Data Layer: a documented, structured knowledge base that captures brand positioning, ideal customer profiles, product details, proof points, and brand voice.

Key themes covered in this episode include:

• From tribal knowledge to documented scaffolding: Why relying on individuals to carry institutional knowledge is a structural risk, and how to replace it with a consistent, scalable system that survives personnel changes.

• The MVP of a Personalized Data Layer: Brand positioning, ICPs with real personalities and pain points, detailed product and service descriptions, testimonials and case studies, and a defined brand voice including what words to use and what to avoid.

• Why AI hasn't made work easier: "AI has not made anything easier. It's just made everything faster" — and that speed creates more volume, more threads to manage, and higher expectations across the board.

• The risk of AI slop: Without a documented knowledge layer to constrain outputs, AI will always generate an answer, but it will be generic, inconsistent, and trust-eroding for audiences who can spot it.

• Governance and accountability: How White Label IQ is implementing a matrix structure with pods and guilds, assigning document ownership, running 30-to-60-day verification cycles, and using EOS as a change management framework to hold leadership accountable.

• The human layer as the new premium: "If anything, AI is the thing that's gonna make us human again" — as trust in digital content erodes, showing up in person and maintaining real relationships becomes the differentiator AI cannot replicate.

While Brian's experience is rooted in the agency world, the implications extend to in-house marketing teams and brand leaders across industries, including direct-to-consumer businesses where audience trust, message consistency, and hyper-personalization are top priorities. As Erik notes, the average U.S. adult now receives over 8,000 messages per day, making the ability to reach and speak to a specific audience with precision not just valuable, but necessary.

If you're a marketer, agency leader, or brand executive trying to figure out where to focus in an AI-saturated environment, this episode delivers a clear and practical answer: stop chasing tools and start documenting what makes your brand yours. As Brian says, "Without a backbone, you can't stand up." The strategic work of capturing your intellectual property, your positioning, your voice, your audience, is what will separate the agencies and brands that thrive in 2026 and beyond from those that get left behind producing generic output at scale.