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…
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…
“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…
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…
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.…
_Almost Timely News: 🗞️ Advice I Would Give to a New PR Practitioner (2026-09-06) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better. Content Authenticity Statement 99% of this week’s newsletter was made by me, the human. You will see…
“Do we really trust Chinese models that much?”” Lisa asked that question in the Trust Insights Analytics for Marketers Slack group and the short answer is, “we really trust models under our control that much”, which means open weights models, models we download and run on our own hardware or in trusted inference providers. Here’s…
Summary In today's episode, I explain the difference between generative answer optimization and agentic SEO, and walk through what companies must do to prepare their websites for AI agents acting on behalf of users. Here's what this means for you. You can future-proof your web presence by adopting Web MCP, which simultaneously improves accessibility for…
Summary In today's episode, I examine the writing styles of major AI systems and reverse engineer which one writes most like a specific human author. Here's what this means for you. You gain a framework for fingerprinting your own writing with Python metrics so you can pick the AI model that sounds closest to you.…
