Month: April 2026

  • You Ask, I Answer: Automating Zero Click Search Queries

    Summary In today's episode, I explain how to build a system that automates the transformation of Google Search Console zero-click queries into high-quality AI articles. Here's what this means for you. You can turn untapped search impressions into a scalable source of relevant and brand-consistent content. You'll also learn these concepts: how Python automates the…

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  • How to Verify What’s Really Happening in the Middle East Using Free, Open Data

    The truth is more likely in the data. Right now, there’s a ton of rhetoric in the media from all kinds of different parties about the reality on the ground in the Middle East. It’s difficult to separate truth from falsehoods, what’s deep faked, what’s propaganda from any given party. In situations like this, one…

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  • You Ask, I Answer: Automating SEO Crawling With AI Agents

    Summary In today's episode, I explain how to use AI agents for website crawling and SEO analysis without wasting resources on unnecessary generative tasks. Here's what this means for you. You can build much more efficient and cost-effective SEO automation by separating deterministic data tasks from language-based generation. You'll also learn these concepts: why specialized…

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  • Almost Timely News: 🗞️ Improving AI With Command Line Tools (2026-04-12)

    _Almost Timely News: 🗞️ Improving AI With Command Line Tools (2026-04-12) :: View in Browser_ The Big Plugs So many new things! 1️⃣ The Prompt Playbook – a monthly subscription of prompts derived from this newsletter, my YouTube channel, and my blog 2️⃣ My new GEO 101 course 3️⃣ A free 25 minute webinar Katie…

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  • How to Beat Claude’s Peak Hour Limits: A Smart Workaround with Minimax M2.7

    Yesterday, Anthropic announced new limits on Claude’s plans. Between the hours of 8 AM and 2 PM Eastern / 5 AM – 11 AM Pacific / 12 PM – 6 PM GMT, Claude will hit its session limits faster. They don’t say how much faster, but a back of the envelope estimate I did this…

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  • So What? Growing Prompts into AI Skills

    Summary In today's episode, I walk through how to evolve basic AI prompts into portable, reusable Skills that work across different agentic platforms. Here's what this means for you. You gain a practical methodology for turning your existing prompt library into standardized operating procedures that any AI system can execute reliably. You'll also learn these…

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  • You Ask, I Answer: Automating LinkedIn Content Workflows?

    Summary In today's episode, I break down how to automate your LinkedIn content workflow while maintaining high quality. Here's what this means for you. You save time on content production without sacrificing your unique thought leadership. You'll also learn these concepts: the difference between deterministic and probabilistic tasks, how to integrate various AI models through…

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  • 7 Powerful Steps to Build AI-Driven Master Documents: My Complete Framework for Research, Creation, and Quality Assurance

    In the spirit of sharing what we build, here’s the process I use with AI to generate most things, most days: Deep research ensemble: if it’s important, I’ll conduct 5 different deep research projects on 6 different platforms: Gemini, ChatGPT, Claude, Perplexity, DeepSeek, and Qwen. The last two are important! Make sure you’re using AI…

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  • You Ask, I Answer: The Best AI Visibility Metric?

    Summary In today's episode, I reveal the single most important metric for measuring your generative engine optimization efforts. Here's what this means for you. You can finally justify your AI marketing spend with hard evidence rather than relying on unproven proxies. You'll also learn these concepts: why the "how did you hear about us" question…

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  • Mac Users Rejoice: Differential MLX Quantization Closes the Performance Gap with GGUF — Trim the Fat, Not the Meat

    Super nerd alert! (highly technical post) For those folks experimenting with local AI using Macs and MLX-specific model quantizations, you may not be aware that you can now build differential MLX models. (I wasn’t) For a while, Mac owners have regarded the GGUF format of local model quantizations with envy; formats like iMatrix can give…

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