ChatGPT

Using Artificial Intelligence: Some do's and don'ts

I have had quite a few conversations recently, with managers from lots of different companies and different industries, where a recurring concern has surfaced:

Many people entering the workforce are relying heavily on AI tools like ChatGPT to do their thinking for them.

Instead of using AI to enhance their understanding, they're accepting AI-generated answers without deeper scrutiny, leading to poor quality work, and gaps in their knowledge.

To help address this, I’ve pulled together a quick CheatSheet of practical Do’s and Don’ts for using AI effectively at work.

These aren’t technical rules—they’re simple, real-world pointers based on what I’ve seen work well (and not so well) in teams across different industries.

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AI Isn’t a Feature. It’s the Future.

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AI Isn’t a Feature. It’s the Future.

The rise of general-purpose AI assistants like ChatGPT and Gemini signals more than a tech upgrade—it’s a fundamental shift in how services are accessed, and who gets cut out. Platforms like Trainline may soon find themselves bypassed entirely, as personal AI agents handle everything from planning to purchase on behalf of users.

In this post, I explore how AI is reshaping the value chain, what this means for businesses built on user interfaces and search marketing, and why we may be entering a golden (but temporary) age of AI-first convenience.