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Human-in-the-Loop AI Agents: Keeping Critical Actions Under Control

Human-in-the-Loop AI Agents: Keeping Critical Actions Under Control

by Javier Elorduy | Jun 27, 2026 | Artificial Intelligence

From Consultant AI to Executive AI For years, AI sat beside the business like a consultant. It could summarize a contract, explain a technical concept or suggest the next step. Useful, sometimes impressive, but still safely outside the machinery. That boundary is...
AI Agent Orchestration: Choosing Speed Without Losing Control

AI Agent Orchestration: Choosing Speed Without Losing Control

by Javier Elorduy | Jun 3, 2026 | Artificial Intelligence

AI is not an isolated tool; it is infrastructure In enterprise environments, deploying Generative AI is no longer about giving people a smarter chat window. The moment an AI can consult company data, use tools and trigger an action, it becomes part of the operational...
Hexagonal Architecture: Protect the Core, Let the System Evolve

Hexagonal Architecture: Protect the Core, Let the System Evolve

by Javier Elorduy | May 26, 2026 | Architecture

The bidirectional dependency between business logic and infrastructure is one of the main sources of technical debt in enterprise systems. Hexagonal Architecture (Ports and Adapters) introduces a strict risk-mitigation principle: the Domain governs through contracts,...
Modular Monolithic Architecture: Clear Boundaries Before Microservices

Modular Monolithic Architecture: Clear Boundaries Before Microservices

by Javier Elorduy | May 6, 2026 | Architecture

Monolithic architecture has remained a natural starting point for many systems for a simple reason: it is easy to build, deploy and understand. The difficulty appears later. As the application grows, new features begin to touch areas that were never meant to change...
Technological Sovereignty: Who Controls Your AI Infrastructure?

Technological Sovereignty: Who Controls Your AI Infrastructure?

by Javier Elorduy | Apr 23, 2026 | Artificial Intelligence

Most AI projects begin in the cloud for a good reason. A team can test a model in days, scale without buying hardware and abandon an idea before infrastructure becomes the most expensive part of the experiment. The question changes when the experiment becomes part of...
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