Tag: technology
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Context engineering vs Prompt engineering
For years we have called “prompt engineering” the ability to get better results from language models by choosing the right words. Today, however, real applications (enterprise copilots, agents, RAG, multi-step workflows) reveal a clear limitation: it’s not enough to phrase the request well if the model doesn’t “see” the right information. This is where context…
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Copilot Cowork
Incredible!Let’s all repeat it… Incredible! After a few weeks from the announcement, I’m finally trying Copilot Cowork. The idea is to create a skill (yes, the same kind highlighted in Anthropic tools) that supports users in a meeting by reading all the information, generating a recap, and saving it autonomously.All without lifting a finger! Here’s…
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Work IQ: the “brain” behind Microsoft 365 Copilot
If you’ve tried Copilot and thought, “Okay, interesting… but sometimes it’s too generic,” you’re not imagining it: the real leap in quality doesn’t come only from the language model, but from how well the AI understands your work, your context, and your organization’s rules. That’s exactly where Work IQ comes in—defined by Microsoft as the…
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AI Competence Gap
A silent but radical change Until yesterday, the concept of work as “professionalism” was relatively stable: you learned a trade, consolidated a set of skills, grew through experience. Stop, finished! Or almost. Today, this dynamic is changing at a speed that no longer depends on people, but on the tools people bring with them. The…
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Prompt Better
“There is no such thing as the perfect prompt, but there is an effective prompt.” I have written several articles on this topic, but given the relentless innovation of tools, it makes sense to refresh and update the discussion. 🧠 From Weak Prompt to Engineered Prompt How to transform a generic request into a powerful…
BEYOND THE PLATFORMS 