As I continue my doctoral journey in Educational Technology, one question keeps surfacing: Are we drowning in AI tools while missing the bigger opportunity?

I recently reviewed Notion AI, a well-designed, AI-powered workspace for writing, collaboration, and organization. On the surface, it’s useful and efficient. But after experimenting with it, I found myself wondering: Why do we keep reinventing the wheel with “new” AI platforms that offer only marginal improvements?

Take ChatGPT’s Projects feature—it allows users to organize work, manage different tasks, and structure workflows. If I need AI assistance for multiple aspects of my job or studies, why wouldn’t I create different Projects within a single robust AI platform instead of signing up for multiple restrictive tools?

And if the interface isn’t what I want, why not take it a step further? With Python, I could tap directly into an AI model, build my own GUI, and create an interface that fits my exact needs. This got me thinking:

🔹 Maybe we don’t need more AI platforms. Maybe we need more people learning how to build their own.
🔹 What if, instead of being passive users of AI tools, we focused on coding skills that allow us to shape technology rather than just consume it?
🔹 If you don’t like Kahoot! or another ed-tech platform, why not build your own quiz app, with full customization for your classroom?

So, are we overcomplicating AI adoption by relying on too many pre-packaged solutions? Would we be better off if more people were trained to leverage Python, APIs, and AI directly—cutting out the middleman and shaping tools to their specific needs?

I’d love to hear your thoughts. Are we optimizing or just overloading ourselves with AI platforms? Let’s discuss. 👇

My blog is NhanceAutism.blog.

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