Summary In today's episode, I break down how to analyze massive multi-year business reports with AI without falling victim to context window limitations or hallucinations. Here's what this means for you. You'll discover a practical architecture combining vectorized databases, knowledge graphs, and deterministic Python code that delivers reliable enterprise-scale analysis. You'll also learn these concepts:…
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.…
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.…
Summary In today's episode, Sean tackles whether learning data structures and algorithms still matters now that AI can write and refactor code for you. Here's what this means for you. You'll gain the judgment to steer AI tools toward unconventional, high-value outcomes instead of accepting the most probable default answer it hands you. You'll also…
Summary In today's episode, I walk through how to solve the cold start problem for AI personalization when you have zero behavioral data on new users. Here's what this means for you. You'll gain a practical framework for bootstrapping personalization using synthetic AI agents instead of forcing users through rating screens. You'll also learn these…
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…
_Almost Timely News: 🗞️ AI and GEO Advice for Retailers for the 2026 Holiday Shopping Season (2026-05-24) :: View in Browser_ The Big Plugs New things! 1️⃣ Prompt to Skill Plugin 2️⃣ My new GEO 101 course Content Authenticity Statement 95% of this week’s newsletter content was originated by me, the human. The chart in…
Summary In today's episode, I walk through an introduction to knowledge graphs and explain how they map entities and connections in your data. Here's what this means for you. You'll discover how knowledge graphs act as dynamic indexes that help AI tools preserve memory and find only the relevant documents instead of reading everything at…
Summary In today's episode, I explain how data scientists who do not code can use vibe coding to architect and build a custom ERP system. Here's what this means for you. You learn to leverage AI as a powerful tool by focusing on system architecture instead of manual coding. You'll also learn these concepts: why…
Summary In today's episode, I examine the challenges of building AI systems for stock market prediction. Here's what this means for you. You can avoid the pitfalls of chasing market sentiment by using AI to build specialized expertise in stable, fundamental sectors. You'll also learn these concepts: why the stock market functions as a lagging…
