Context Engineering Is About Data and Skills

Anthropic didn’t just ship a feature. It revealed a different way to think about building with AI. In this episode of Tech with Travis Burmaster, Travis breaks down how Anthropic’s skill-oriented design reshaped how models are used, why OpenAI is now moving in the same direction, and what that shift means for teams building real systems instead of polished demos. This is not about better prompts or bigger models. It is about skills as contracts, data as grounding, and context engineering as a discipline rather than a trick. You’ll hear why most AI failures are not model problems, why dumping more text into context weakens reliability, and how skill-based design turns language models into dependable system components. If you work with agents, tools, enterprise AI, or regulated environments, this episode will sharpen how you think about control, context, and execution. No hype. No shortcuts. Just a clearer mental model for AI that actually holds up.