Category: Artificial Intelligence

  • 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.…

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  • You Ask, I Answer: AI vs Human Service Tiers?

    Summary In today's episode, I tackle Beatrice's question about whether marketing agencies should split their AI-driven services from their human-driven premium offerings or treat AI as invisible infrastructure. Here's what this means for you. Hourly billing models collapse when AI shrinks six hours of work to six minutes, so you must shift to value-based pricing…

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  • Almost Timely News: 🗞️ Advice I Would Give to a New PR Practitioner (2026-09-06)

    _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…

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  • Why Locally Run Open Weights AI Models Are More Trustworthy Than ChatGPT and Claude

    “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…

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  • You Ask, I Answer: Generative vs Agentic SEO Strategy?

    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…

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  • So What? Examining AI Writing Styles of Different AI Systems

    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.…

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  • Why Creators Should Automate AI Inputs, Not Outputs

    As a creator, thinker, or knowledge worker: Use AI to automate your outputs, and you’re likely to get weaker. Use AI to automate your inputs, and you’re likely to get stronger.

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  • The AI Pay Cut: Why 10x Productivity Isn’t Raising Your Salary

    AI is a pay cut for you, the human. It’s tempting to take the easy route and talk about a stagnant job market, or tech companies using AI as a cover for large scale job cuts, but that’s not what I’m talking about here. A decade ago, Katie Robbert and I worked at a PR…

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  • You Ask, I Answer: Preventing AI as a Thinking Crutch?

    Summary In today's episode, I explore how to prevent junior employees from using AI as a crutch and losing their foundational critical thinking skills. Here's what this means for you. You learn that AI misuse in the workplace usually stems from culture and leadership messaging rather than from the technology itself. You'll also learn these…

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