Lately, there's been a lot of discussion around how and where AI tools actually fit into our daily work. Not just which model is better, but how these tools show up in real workflows. That question kept coming up for us, so we decided to explore it from a slightly different angle.
A lot of comparisons between AI tools still revolve around capabilities and features. Those conversations are useful, but they sometimes miss something important: context. Where an AI lives and how naturally it integrates into your day-to-day work can matter just as much as what it can do.
That’s where the Gemini Gems vs Custom GPTs conversation gets interesting.
Instead of asking which one is better, we started asking a different question: Where should AI live in your work?
Custom GPTs tend to make the most sense when you need very specific behavior tied to a workflow, a product, or a team. They're flexible, configurable, and great when you’re designing something around a clear use case.
Gemini Gems approach the problem from another angle. They're built to live inside the workspace itself, connected directly to Docs, Sheets, and Drive. That changes the experience, AI becomes less of a separate tool and more of something that’s already part of how you work.
Seen this way, the decision isn't really about choosing a “winner”. It's an architecture choice. One that depends on how your team collaborates, where information lives, and how much friction you're willing to accept between tools.
We explored this idea briefly in a short video, mostly as a way to spark the conversation rather than to close it. If you're curious, here's the resource we're referring to:
👉🏻 Gemini Gems vs Custom GPTs
Are you prioritizing flexibility? Native integration? Something else entirely?
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