Sin contexto, cada sesión con un agente de IA empieza igual: repetimos las mismas reglas, corregimos los mismos desvíos y vigilamos cada salida por si se ha inventado algo. Con contexto, señalamos la tarea y el agente se mantiene en los raíles que escribimos una vez.
Sin contexto, cada sesión con un agente de IA empieza igual: repetimos las mismas reglas, corregimos los mismos desvíos y vigilamos cada salida por si se ha inventado algo. Con contexto, señalamos la tarea y el agente se mantiene en los raíles que escribimos una vez.
En contexto
- Tema: Inteligencia Artificial — IA aplicada al negocio: casos, límites, costos y gobierno.
- Fuente: Paradigma Digital
- Publicado: 21/10/2026
Seguir leyendo en la fuente original →
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Why it matters
Every week there is an announcement that promises to change everything, and every week most organisations are still fighting the same battle: messy data, processes nobody documented, and expectations running faster than capability. This story reads better with that in the background.
I measure AI maturity with an uncomfortable question: can anyone explain, in one line, what decision the model makes and who answers if it gets it wrong? Where that is clear, the project moves. Where it is not, it stays in permanent pilot and gets cancelled with the excuse that the technology was not ready.
What usually goes wrong
The point where it usually breaks is the handover to operations. The team that built the pilot knows how to read the results; the team receiving it does not. Without training and written criteria, people start accepting everything the model says or ignoring it entirely, and both are equally expensive.
What to watch
- Cost per query at real volume, not pilot volume: the variable that produces the most surprises.
- Where the data ends up and under what contract, especially when customer information is involved.
- Whether the organisation can change provider without rebuilding everything, which is the proof it did not get locked in.
How I read this entry
I would use it for a talent conversation rather than a purchasing one. The capability that needs installing is not operating a tool, which changes every six months, but framing the problem well and judging the answer. That one stays in the house.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
