4 min read
Why I Disagree with “Don’t Study IT Anymore”
From three websites sharing one database to working with E-TUYS
Read article⟶Ideas · Technology · Operations
NOTES FROM THE FIELD
Experiences, questions and practical ideas on artificial intelligence, automation, engineering and real business processes.
13 articles
6 min read
Personalizing the Websites We Visit with AI and Userscripts 🌐⚡
How can we improve our browser experience with Tampermonkey and AI while staying safe and following the rules?
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4 min read
Bringing a 15-Year-Old Machine Back to Life
Imagine a fifteen-year-old control board whose documentation has long been lost.
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5 min read
9 Articles, One Journey: What Have We Learned About AI? 🧭🤖
In article 10, we pause and look back at nine valuable lessons—from routine work to automation, and from automation to strategy.
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6 min read
Technical Analysis Education with AI: Reinforcing What We Learn in Books 📈🤖
This study is designed to repeat and better understand technical analysis concepts on a chart for educational purposes.
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3 min read
Do We Really Have to Remember Checking the Turkish Official Gazette Every Morning? 🏛️⚡
Series Continuation: From Proformas and Customs to Pinpoint Desktop Automation
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8 min read
🚀 What Would an AI Robot Do on Mars?
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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6 min read
Building Your Own Tool: Code Is No Longer the Barrier 🛠️
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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6 min read
AI Projects That Never Leave the Pilot: Where Do We Get Stuck? 🚧
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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4 min read
A New "Billion Parameters" Every Week: What Does That Number Actually Tell You? 🧠
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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3 min read
Giving AI an "Infinite Loop" Command: Autonomous Assistant or Budget Monster?
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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3 min read
"Vision Confusion" in the AI Era: Who is Driving?
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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1 min read
🚀 Simplify Your Work with AI: From Routines to Automation
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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