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…
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 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 what Web MCP is and how marketers can start implementing it on their websites before competitors catch on. Here's what this means for you. You position yourself ahead of the curve by giving AI agents an invisible storefront they can use to complete tasks on your behalf. You'll…
Summary In today's episode, I explain how to safely grant AI agents command line access without risking your entire file system. Here's what this means for you. You gain the freedom to experiment with autonomous agents without fear of losing your important data. You'll also learn these concepts: how Docker containers provide a safety net,…
Summary In today's episode, I address the issue of timestamp hallucinations when local speech-to-text agents chunk audio files. Here's what this means for you. You gain the ability to produce highly accurate transcriptions with precise time codes. You'll also learn these concepts: why switching to SRT or VTT formats improves timing precision, how Python scripts…
Summary In today's episode, I walk through how to set up Claude Code for success, including why you'd choose it over Claude Co-work, the prep work required, and the documentation structures that drive consistent quality output. Here's what this means for you. You gain a repeatable framework that slashes token usage, cuts rework, and forces…
Summary In today's episode, I explain how to maintain high code quality and prevent technical debt when using AI for programming. Here's what this means for you. You can harness the speed of AI without sacrificing the integrity or structure of your codebase. You'll also learn these concepts: how design specs and PRDs guide AI…
Summary In today's episode, I explain how to differentiate between AI coding platforms that share the same underlying models. Here's what this means for you. You can select the most effective development tools by distinguishing between the model engine and the software harness. You'll also learn these concepts: how the coding harness optimizes model output…
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…
