PODCAST

Social media is oversaturated and AI is making it worse. Most people using AI for social posts are skipping the hard part - knowing what they actually want to say. Cole and Virgil get into why that is the real problem, and what doing it better actually looks like.

Agentic AI sounds autonomous, but it is only as good as what you put in front of it. Virgil and Cole bring in Sean Wright from Kentico to talk through what agents actually do in a content workflow, why context determines everything, and what evals have to do with keeping it all on track.

When you put an LLM on top of years of unmanaged content, the AI does not skip the bad parts. Virgil and Cole bring in Will Noble from Squiz to talk through what conversational search actually requires - and why your content foundation matters more than your technology choices.

Coding runs on patterns and repetition, which makes it one of the better fits for AI... at least in theory. In this episode, Virgil, Cole, and returning guest Chad put Claude, ChatGPT, and GenSpark to the test building an accessible web component, and unpack what AI can and can't do depending on who's behind the keyboard.

AI video tools can generate promotional clips in seconds, but the gap between what comes back and what is actually usable is wider than most teams expect. In this episode, Virgil and Cole test three AI video tools using the same prompt and break down why planning, storyboarding, and clear objectives matter far more than the tool you choose.

AI dominated a noticeable share of this year’s Super Bowl ads, but what was actually being sold? In this episode, we break down the hype, the promises of effortless automation, and the gap between AI marketing and real world implementation. If you are trying to separate AI strategy from expensive noise, this conversation is for you.

AI can generate images and graphics in seconds, but visuals introduce ethical, legal, and trust risks most teams are not prepared for. In this episode, the team tests AI image generation tools, examines where they help and where they fail, and explains why judgment matters more than speed when AI starts producing visuals.

AI can generate wireframes and page layouts in minutes, but speed changes the risk profile of design work. In this episode, the team tests AI wireframing tools, breaks down where they help and where they fail, and explains why human judgment matters more than the wireframes themselves.

Content personalization sounds simple, but using AI for it often makes things worse. In this episode, the team breaks down role based and behavioral personalization, tests three AI tools, and explains why unclear goals and assumptions lead to generic or uncomfortable results.

SEO, GEO, and AEO are often treated as optimization problems. In this episode, we explain why that mindset often fails, how AI exposes weak structure and unclear intent, and what actually drives search visibility today.