Video / Short
Why Python Is the Best Language for AI Automation
Python combines rapid development with a large ecosystem of AI libraries, making it a practical choice for building and scaling AI automation.
Video summary
Pete Cooper explains why he chooses Python for AI automations and agents. He points to the speed of development, the flexibility of owning the code and the ability to avoid platform constraints or unexpected costs, such as recurring loops.
The video presents Python as a practical route from prototype to production rather than a universal best language. Cooper’s emphasis is on control and dependable systems: teams can shape the automation around their needs instead of being limited by a vendor platform. The right choice still depends on the project, skills and operating requirements.
Video transcript
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Good day. People often ask me, "Why do you code up your automations and agents in Python?" Well, there are multiple reasons. It actually is very quick these days with AI. You have complete flexibility. You own the code. You don't get into some of the quirks and problems that you might get with a platform, its limitations, and also things that are unexpected, like recurring loops that can cost you a lot of money. We believe in building systems that work in production, not just in prototype, and so we choose Python for those.