Month: August 2026

  • You Ask, I Answer: Detecting Silent Failures In AI Generated Code?

    Summary In today's episode, I walk through how to build a multi-gate verification layer that catches silent logic-based failures in AI-generated code before they reach production. Here's what this means for you. You get a practical, layered framework to validate untrustworthy machine output without relying solely on human reviewers. You'll also learn these concepts: why…

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  • DeepSeek v4 Flash vs. Claude Sonnet 5: Why Paying 17.8x More for AI Is a Mistake

    This one hastily made slide explains pre-IPO jitters better than anything else when it comes to AI. DeepSeek released its v4 Flash model earlier this year, on April 24. At its release, it was widely regarded as pretty smart and stupid cheap for its size. For a lot of folks using agentic AI, its pay…

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  • Blatant Sales Pitch: AI for Writers Course

    Let’s examine this pile of AI slop, generated by ChatGPT: If you’re a writer, you’ve probably noticed something changing fast: AI isn’t replacing the need for great writing. It’s changing how great writers work. The opportunity isn’t to hand your writing over to AI and hope for the best. It’s to learn how to use…

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  • You Ask, I Answer: Keeping Context Across AI Tools With Markdown and YAML?

    Summary In today's episode, I break down how to preserve context and data lineage when moving files between AI tools like SQL generators, CSV cleaners, and analysis dashboards. Here's what this means for you. You'll get a practical framework for making sure the "why" behind your data never disappears, no matter which tool you're using.…

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  • How Fifth-Generation AI Masters Time Budgeting for Smarter Workflows

    Fifth generation AI models understand time. I discovered this morning, working in Claude Code with Sonnet 5, that it can have an awareness of time and work to a time budget. Previous generations of models lacked this awareness; it seems like models that are aligned strongly for agentic AI can do this. Here’s how it…

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  • You Ask, I Answer: How to Be Independent of US AI Tech?

    Summary In today's episode, I explore how people worldwide can reduce their dependence on US-based technology companies by tapping into sovereign AI labs, local inference providers, and open-source models. Here's what this means for you. You gain a practical roadmap to access capable AI that runs within your own jurisdiction, keeps your data private, and…

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  • Almost Timely News: 🗞️ How To Expand and Improve Content with AI, Part 2 (2026-08-23)

    _Almost Timely News: 🗞️ How To Expand and Improve Content with AI, Part 2 (2026-08-23) :: View in Browser_ The Big Plug Pre-registration for my new course, AI for Writers, is now open! The course opens up Tuesday. Content Authenticity Statement 100% of this week’s newsletter was made by me, the human. Learn why this…

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  • Prove It’s Human: Why the Not AI Certification Is Your New Marketing Advantage

    Scott Stratten called it early this year: certifying that something is NOT AI is a marketing feature now. This morning, as I was making a terrible drawing on my iPad in Adobe Fresco, I noticed a new feature in the export window (I usually hit Quick Export, not Export, so this feature has probably been…

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  • So What? How to Set Up Your Own Claude Marketplace

    Summary In today's episode, I walk through how to set up your own Claude marketplace using GitHub as a central version control system for AI skills and plugins. Here's what this means for you. You gain a reliable way to automatically push updates to every team member's Claude instance instead of relying on manual downloads…

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  • You Ask, I Answer: Processing Sensitive Data With Local AI Pipelines?

    Summary In today's episode, I walk through how to build a private local AI pipeline for processing years of sensitive personal messages on a consumer laptop. Here's what this means for you. You gain a step-by-step blueprint for turning unstructured data into a searchable, analyzable database without ever uploading private conversations to the cloud. You'll…

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