Month: September 2026
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Five New AI Models Compared: Why Qwen 3.8 Is the Only One Worth Your Time
Five new AI models hit the field this week, and only one of them is probably worth your time. Let’s take a look. Contender 1: Muse Glimmer. This is Meta’s newest open weights model, a 30 billion parameter dense model. It’s fast, it’s cheap, and it’s slightly smarter than Claude Haiku. If you have nice…
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So What? Nontraditional Podcast Analytics
Summary In today's episode, I break down why traditional podcast analytics miss the mark and how to measure the entire content ecosystem around your show. Here's what this means for you. You gain a framework for tracking performance across every platform your podcast touches so you can stop making decisions based on incomplete download data…
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You Ask, I Answer: Does A/B Testing Survive AI Personalization?
Summary In today's episode, I tackle whether traditional A/B testing becomes obsolete in an era of AI-generated hyper-personalized landing pages. Here's what this means for you. You'll discover that effective evaluation still requires guardrails, consistency in offers, and robust tracking of what visitors actually see. You'll also learn these concepts: why business constraints prevent truly…
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Transform Your Marketing Data with Generative AI at MAICON26: Workshops, Podcasts & Networking
In 48 days – 7 weeks – I and a bunch of other folks are making our annual pilgrimage to Cleveland for #MAICON26, the SmarterX Marketing AI Conference. What’s on tap this year? Katie Robbert and I will be recording an episode of our In-Ear Insights podcast live from the show floor on Wednesday, 14…
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You Ask, I Answer: How to Standardize AI Evaluation Rubrics?
Summary In today's episode, I explain how to build a blended scoring rubric by combining different stakeholder definitions of quality so AI can balance competing objectives like marketing appeal, technical depth, and legal safety. Here's what this means for you. You'll learn to push stakeholders into quantifying what success looks like rather than relying on…
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How to Make AI Unique: Use Low-Probability Prompts to Beat the Bell Curve
“Every website AI designs looks the same.” “AI writing all reads the same – ‘that X is the point’ etc.” “AI music sounds so bland.” Yes, of course. A probability engine designed to predict the highest probability is going to converge on the middle of the bell curve. Absent strict guidance about what to do…
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You Ask, I Answer: Building Proactive AI Marketing Agents?
Summary In today's episode, I walk through how to build a proactive AI agent that identifies wasted ad spend and redistributes budget without manual prompting. Here's what this means for you. You'll see how documented standard operating procedures become the foundation that lets any agentic system function reliably. You'll also learn these concepts: the 5P…
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Why Claude Haiku Is Outclassed: The Case for Hybrid AI Strategy
Claude Haiku is the single biggest weakness in the Anthropic ecosystem now. Haiku is intended as a low cost, fast, and cheap model to do basic work – reading, summarization, web search, etc. And at the time of its release almost a year ago, it did those things reasonably well. But times change. Models change.…
