Multi-model AI platform: avoid depending on a single provider
Agents, prompts, and workflows built on a single AI provider become difficult to move. This article details the risks, the possibl...
Read the publicationGuides, analysis and field notes on enterprise AI, autonomous agents and digital sovereignty.
Agents, prompts, and workflows built on a single AI provider become difficult to move. This article details the risks, the possibl...
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Writing, data analysis, coding: no AI model wins everywhere. Here are the criteria, the limits of public benchmarks, and a testing...
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Collect, sort and summarize: AI speeds up monitoring, but it guarantees neither the existence nor the currency of the sources it c...
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Entrusting a long-running task to an AI requires choosing the right task, framing it properly, and keeping control over what carri...
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A chatbot responds, an AI agent acts: the difference lies less in the interface than in the ability to act within your tools. Here...
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An AI agent does not just respond: it plans, uses tools, and acts to achieve a goal. Definition, operation, differences from a cha...
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The AI Act timeline has changed: the Digital Omnibus has postponed the obligations for high-risk systems, while others already app...
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Regulation (EU) 2026/1744, known as the Digital Omnibus on AI, is in force and amends the timeline and certain rules of the AI Act...
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How do you go from a few notes to a usable slide deck with AI? Step-by-step method, tool families, export, and points to review be...
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