BLOG

Multi-Agent AI Systems: What Goes Wrong When Agents Start Making Decisions Autonomously Single-agent AI systems have a relatively contained failure surface. One agent, one task, one set of tools, one set of outputs to review. When something goes wrong, the scope is manageable. Multi-agent systems are different in kind, not just in complexity. When multiple agents are coordinating, delegating to each other, and taking actions based on each other's outputs, the failure modes co

The Hidden Cost of Old Healthcare Technology That Nobody Is Measuring Every healthcare organisation has technology it knows it should replace. An EHR module that has not been updated since the original implementation. A billing system running on infrastructure that the vendor stopped supporting two years ago. A patient portal that was state of the art in 2014 and is functionally embarrassing in 2026. These systems do not appear broken. They appear functional. And that appeara

What Is Vibe Coding and Is It Safe for Enterprise Software Development There is a new way to build software that has taken hold across the industry with remarkable speed. It is called vibe coding, a term coined by AI researcher Andrej Karpathy to describe the practice of building software primarily through natural language prompts to an AI rather than writing code by hand. Instead of a developer sitting down and writing functions line by line, they describe what they want, in

How to Migrate Legacy Systems to the Cloud Without Disrupting Operations Legacy system migration is where the gap between theory and practice is widest. The strategy is usually clear. The dependencies are not. The plan looks reasonable until you discover the undocumented integration that half the business relies on, the batch process that runs at 2 am and nobody thought to mention, or the third-party system that expects data in a format your new architecture does not produce.

What Is an LLM and How Do Enterprises Use Large Language Models A large language model is a type of neural network trained on a very large corpus of text to predict the probability of the next token in a sequence. That is the technical definition. The more useful framing for engineers building production systems is this: an LLM is a system that has learned statistical patterns across an enormous range of human-generated text, and can use those patterns to generate coherent, c