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Series Continuation: From Proformas and Customs to Pinpoint Desktop Automation
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Experiences, questions and practical ideas on artificial intelligence, automation, engineering and real business processes.
08 articles

Series Continuation: From Proformas and Customs to Pinpoint Desktop Automation
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If you want to say "stop" to a robot on Mars, your command needs 3 to 22 minutes to get there. The answer needs the same time to come back. In the worst case, that is a 44-minute blind spot .
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In my last article we talked about AI projects that never get past the pilot. One of the blockers I listed was the “project with no owner”: the pilot is driven by one curious person, and when that person goes on holiday, the project goes with them.
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In my last article I said that when choosing a model you should look at the test set built from your own data, not at the parameter count. Let's say you did exactly that: you picked the right model, built the pilot, ran the demo in the meeting and everyone was impressed.
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In my last article, we discussed how token costs turn into a budget monster once you put AI into a loop, and I said model choice directly drives that cost. So what about the big number every launch puts front and center?
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Nowadays, everyone is talking about giving AI a "loop" command these days. You give the AI a task: "Check the system every 5 minutes, analyze new data, take action if needed, and save it to the database."
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A few weeks ago, we talked about how to make our jobs easier with AI and move from routine tasks to smart automation. However, when we analyze business operations deeply, we often face a big challenge: Contradictions. Sometimes data, methods, and expectations do not match. In this moments of chaos, one critical concept saves us: Vision.
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Every day, we face endless routine tasks at work. Do we really need to do them manually? AI isn't just a chatbot; it is a tool that brings real operational power to your business.
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