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All blog posts about context engineering and developing useful context about your organization and business so your teams can utilize AI effectively.
3 articles
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When every request to the AI feels like starting from zero, the model is rarely the problem. The context is. You get answers that sound professional but have nothing to do with your company's reality. In the worst case, the model hallucinates where context is missing.
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"If only Siemens knew what Siemens knows" is a famous line that sounds familiar to most people who work in knowledge management. It captures something we know intuitively: organizations generate an enormous amount of knowledge without necessarily being able to access it.
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Nearly 80% of IT leaders are currently failing due to a lack of data access. The solution is not a new model, but the right Harness Layer: a connection layer that securely couples AI to your systems in real time. How the Model Context Protocol (MCP) enables exactly that, how it differs from RAG, and which use cases you can implement immediately.
