A reminder that editing with AI makes works read more like AI. When GenAI works on text, it works in probabilities. That’s literally how it works at its heart, figuring out the most probable next item in a sequence based on the data in the sequence. It’s why it’s so good at things like predicting…
Summary In today's episode, I walk through practical techniques for extending Microsoft Copilot's capabilities beyond its out-of-the-box limitations using skills, agents, and its built-in Python environment. Here's what this means for you. You can transform a tool often dismissed as inferior into a capable enterprise AI system that handles deterministic tasks like word counting, regression…
Summary In today's episode, I walk through how to use AI coding tools to run cohort churn analysis on your AI-generated leads. Here's what this means for you. You'll be able to determine whether specific lead sources are actually worth your marketing investment. You'll also learn these concepts: how to set up a coding environment…
Summary In today's episode, I walk through how to structure data for machines using JSON, schema, and lighter alternatives to improve AI search visibility. Here's what this means for you. You discover that GEO requires passing three sequential gates and that lighter weight formats like markdown and YAML may serve your AI visibility far better…
Choose which bots to block carefully. Cloudflare, a couple days ago, made significant changes to how they identify AI bots. You can now block specific classes and types of AI bots, and they’re in three categories: AI Crawler: this vacuums up your content to feed model training data AI Search: this bot searches for stuff…
One of the best things you can do in enterprise AI is set up testbeds to count tokens. Here’s why. Claude’s enterprise pricing is this: Opus 4.8: $5/million tokens in, $25/million tokens out Sonnet 4.6: $3/million tokens in, $15/million tokens out Microsoft’s pricing is based on Copilot Credits; 1 credit is one penny, and they…
Summary In today's episode, I tackle Tim's question about whether to mandate AI adoption across non-technical departments or let it grow organically, and I make the case for reframing AI as a way to save jobs and cut software costs instead of headcount. Here's what this means for you. You gain a sharper lens for…
