AI moves into its control phase
June 2026 showed that the AI race is no longer only about building more capable models. It is also about deciding who can access them, where they run and how much control sits around them. Claude Fable 5 was the clearest example. Anthropic presented it as a more accessible version of Mythos 5, designed for […]
Local LLMs vs vLLM How to Scale AI Models from Development to Production
The rapid adoption of language models has led many organisations to reconsider how they run and serve generative AI efficiently. In this context, a key decision often emerges between using locally deployed models through traditional tooling or relying on specialised inference engines such as vLLM. During development, it is common to work with solutions such […]
MCPs, the new Standard for Connecting Agents with Tools and Data
The rapid adoption of generative AI is driving a new generation of intelligent agents capable of interacting with enterprise applications, databases, knowledge repositories and external services. One of the biggest challenges, however, remains the integration between large language models and the systems they need to access. This is where Model Context Protocol (MCP) is emerging […]
AI Observability Will Become More Important Than The Model Itself
The conversation around AI in enterprise environments has focused for years on foundation models. More parameters, larger context windows and stronger reasoning capabilities appeared to define competitive advantage. However, as organisations deploy AI into production, the problem is changing radically. What truly matters is no longer just the model itself, but the ability to understand […]
Data Entropy: The invisible problem of AI
Most AI projects fail slowly and silently. The issue is rarely a lack of computational power or the wrong choice of model. The real problem emerges when data begins to deteriorate over time and the system gradually loses coherence without anyone immediately noticing. This phenomenon could be described as data entropy. In modern enterprise environments, […]
Synthetic Data in Enterprise AI Without Privacy Risks
The rapid growth of artificial intelligence is forcing organisations to rethink how they train models without compromising sensitive information. Sectors such as healthcare, insurance, industry and legal services require massive volumes of data while simultaneously complying with increasingly strict regulations around privacy and data governance. In this context, synthetic data has become a strategic alternative […]
Prompt Injection: the SQL Injection of the AI era
Prompt Injection represents an evolution of SQL Injection within the context of generative artificial intelligence. In both cases the underlying issue arises from combining untrusted information with mechanisms capable of altering system behaviour, although in language models this boundary is far less explicit. In large language models there is no strict separation between data and […]
Kagent and the Evolution of Autonomous Infrastructure
The management of Kubernetes clusters has moved from static configuration to systems that require faster and more precise decisions. Kagent addresses this challenge by integrating AI agents directly into the Kubernetes control loop. This architecture allows the system to go beyond executing scripts and instead use a reasoning loop to adjust infrastructure based on real-time […]
Claude Code leak reveals how modern AI systems are built
A leak of internal Claude Code code has made it possible to observe how one of Anthropic’s most advanced AI systems is structured. Beyond the incident itself, what matters is what it reveals about the real architecture behind modern AI tools. The code shows that LLMs alone are not enough to reliably solve complex tasks. […]
Memory is the real bottleneck of AI
In Artificial Intelligence, most of the focus is on models, their size, the number of parameters, and the computational power they require. However, in enterprise environments, the real limit is often found in memory and how the system manages information. The first barrier appears in short-term memory, known as the context window. This mechanism determines […]