For the love, please stop using AI to write your copy. We can all tell. In this episode I call out the 8 most obvious AI writing patterns, and provide specific names for those specific styles that are just so characteristically robotic. From em dashes and antithesis structures to hollow opens and metronomic cadence, I break down why these patterns appear, why AI defaults to them, and why the best solution is usually just writing it yourself.

In this episode I share my personal experience of what it's actually been like to ditch ChatGPT and go all-in on Claude. This episode covers the real differences between the two platforms: what Claude does better, where it falls short, and why the switch probably isn't as big a deal as some people are making it out to be.

The whole goal of this episode is simply to put OpenClaw, an open source autonomous AI agent that went viral in early January, on your radar, and make a case for why you absolutely should NOT install it. This episode covers what "open source autonomous AI agent" actually means, it’s two biggest draws, and the one massive downside that should give everyone pause: SECURITY.

In this episode I dig into whether we're addicted to AI by examining my own switch from ChatGPT to Claude and what usage limits reveal about dependency. I break down the business models behind OpenAI's "unlimited" usage versus Anthropic's enforced limits, explore the Uber playbook of subsidized addiction, and share why both companies' controversial partnerships (OpenAI with Trump/ICE, Anthropic with Palantir) complicate the choice of which AI to use.

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In this episode we're talking about how to switch from one LLM to another without starting from scratch or pulling your hair out. I cover why you might want to switch (spoiler: politics and preparedness), how to create a portable memory document that travels with you, and the practical steps for migrating your workflows, projects, and voice to a new AI tool.

In this episode I break down Claude Code and Claude Cowork, two tools from Anthropic that have taken the AI space by storm, and allow Claude to actually execute tasks on your computer instead of just chatting with you. This episode covers what each tool does, how they're different from each other (and from regular LLMs like ChatGPT), what “agentic” AI actually means, who each tool is for, and what to know about safety and usage limits before jumping in.

In this episodeI dig into OpenAI’s quiet announcement that ads are officially coming to ChatGPT along with the U.S. rollout of the Go tier. I talk through what the ads will actually look like, who’s going to see them, and why this move feels less surprising than it does revealing. We get into the money math behind “free” tools, the trust implications of sponsored answers, and what this shift could mean for access as AI continues to get carved up into tiers.

In this episode I dig into why I think folks have such strong feelings about AI, and why so many seem to have chosen AI as the hill to die on. This conversation looks less at the technology itself and more at what AI has come to represent: forced adoption, corporate overreach, environmental impact, and the broader enshittification of everything.

In this episode we talk about what vibe coding actually is, where the term came from, and why it’s showing up everywhere right now. I break down how vibe coding differs from AI-assisted coding, why the distinction matters, and what’s exciting and risky about both. The goal is to help you understand what’s real, what’s hype, and how to approach this space with curiosity instead of confusion.

Let’s get curious about Google Notebook LM! I walk through what it is, how it works, what makes it different from ChatGPT, and how I’ve personally used it to create mind maps, slide decks, and one-sheets. We also talk about learning styles, hallucinations, citations, pricing, and why this tool feels especially aligned with how I believe AI should be used.