We Don’t Experiment on Client Projects

What if Agile’s rituals are just band-aids for human chaos? This episode digs into how AI code assistants could automate your stand-ups, collapse team roles, and force us to reinvent collaboration around value, not ceremonies.

What happens when you let AI agents run an entire agency with zero human oversight? A Carnegie Mellon experiment shows it collapses in chaos—proving we still need human judgment, simple solutions, and even the quirks (think R2-D2’s beeps) that make smart machines truly effective.

In this episode, I talk about why we never roll out untested tools on live client work—how a stable arsenal of accelerators, along with dedicated “innovation playgrounds,” keeps projects on time, ensures predictability, and preserves trust.

Discover how AI-driven design-to-code tools are slashing handoff times to seconds, so UX teams can ditch stale wireframes and dive into real user research for deeper insights.  Tune in to see how faster delivery and strategic problem-solving can transform your workflow—and your products.

Discover how “prompt chaining” turns AI into your co-pilot—handing off a baton of bite-sized tasks (summarize notes, extract themes, draft sections, add flair) to transform chaos into a polished proposal. Ban­ish blank-page panic and unlock a repeatable, creativity-boosting workflow.

After years fine-tuning my four-pillar manifesto—trust, clarity, visibility, consistency—for frictionless digital delivery, I explore how AI isn’t a detour but a turbocharger for those same principles. Tune in for no-fluff tactics on harnessing AI to help your team move faster, smarter, and with genuine ownership.

When AI tools are everywhere, the real edge comes from razor-sharp thinking and your own custom AI toolkit—not the fanciest license. Learn how to craft, refine, and chain prompts with your unique context into repeatable workflows, so machines handle the busywork and you focus on breakthrough insights.

AI can supercharge your workflow—but knowing when to stop is just as important. In this episode, Matt shares two key signs it’s time to take back control and finish the job yourself. Listen in for a smarter way to work with AI, not for it.

AI is making it easier than ever to blur the lines between design and development—but is that always a good thing? In this episode, Matt explores the risks of moving fast without the right foundations. Tune in for a thought-provoking take on how teams should adapt in the age of AI.

Matt explores how AI is reshaping the roles within delivery teams—and why deep thinking may soon outweigh hands-on making. He challenges the notion that design or development roles are becoming obsolete, highlighting the irreplaceable value of strategic designers and senior engineers. It's a fresh take on what high-impact collaboration looks like in the AI era. Listen in to see where you—and your team—fit in this evolving landscape.