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I use AI every single day, but for a long time I hit the same frustrating wall.

No matter how advanced the models were, I was stuck in a cycle of “reexplaining” myself. Of course, turning on the memory mode helped a lot, but not every time everything worked out for the AI. My tone, my particular style, exactly the formatting I needed – I felt like I was re-training Gemini every time I opened a new chat.

And while rewriting everything wasn’t that difficult, it was monotonous and, frankly, a waste of time. I like using Gemini because of its speed, reasoning, and multimodal capabilities, and I often prefer it over ChatGPT for these reasons. But I noticed that its memory pales in comparison to OpenAI. That was until I tried something different. Instead of starting with an empty chat every time, I created my own AI expert using Google Gemini Gems.

It didn’t just save me time; it has completely changed the way I work. Here’s how he can do the same for you.

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How I Built My First Gem in Less Than 5 Minutes

If you haven’t tried Gems yet, they are essentially special versions of Gemini that you “train” for a specific role. Think of them as stored identities or automated workflows. Instead of typing the same three-paragraph set of instructions every morning, you set the rules once—and the AI follows them forever (or until you update them with new information).

Setting up Gem is surprisingly easy. Inside Gemini, you open the Gem manager from the sidebar and create one from scratch.

I created it as my “skeptical editor”. His only job is to be concise, critical, and obsessed with clarity and fact-checking.

If you don’t know how to describe a character, just type a rough sentence like “Be a cool editor” and click the “Magic Wand” icon. Gemini will automatically expand this into a detailed, professional set of instructions for you.

As soon as I clicked “Create” the difference was immediate. I no longer needed to explain this “vibe.” I just put in my draft and said, “Fix this.” The gem already knew my rules.

Three Step Plan for Creating a Useful Gemstone

After testing a dozen versions, I realized that all the best gemstones have the same basic DNA. If you want to create one that actually works, follow this structure:

Clear personality: Don’t just say “helpful helper.” Give him a job title, such as “Rigid Editor” or “Strategic Marketing Trainer.”
Defined Mission (and Limitations): What is the main goal? (e.g., “Take raw interview notes and turn them into a five-point summary.”) Also, be sure to tell the AI what not to do. For my part, I have banned words like “dig,” “tapestry,” or “go.”
Fixed output format: Tell him exactly how to present the information (for example: “Always start with a bold TL;DR followed by a numbered list”).

The Secret Sauce: Connecting Your Data

Google Docs — (Image credit: Shutterstock)

What surprised me the most is how much more powerful gemstones become when you connect them to your real life.

You can now attach files directly to Gem. For example, you can upload your company’s internal style guide to ensure your tone remains consistent across all communications. In my case, I uploaded my YA manuscripts so my Gem could edit and understand my voice.

Because Gemini connects to Google Workspace, it can even pull context from your Google Docs or Gmail when you need it to check dates or project details.

Conclusion

There’s a lot of talk these days about using more AI tools to get more done. But for me, it wasn’t about adding another tool, it was about removing a step and making the most of the features already available in the AI tools I already use.

I expected Gems to be a useful shortcut, but I was pleasantly surprised at how it took the mental load off. Gemstones save you from having to constantly explain yourself. And once this step is completed, you will stop giving hints and start really working.

Give it a try and let me know what you think in the comments. I suggest taking the one prompt you type the most this week and turning it into a gem today. I bet that by this time next week you’ll have saved an hour of “re-explaining.”