Stop Repeating Yourself to AI. Build a "Gem" Instead.

You open a new AI chat. You type out the same instructions. You paste in the same brand guidelines. There is a much, much better way.

Most professionals using AI today are trapped in a repetitive cycle. The biggest challenge you face isn’t a lack of ideas; it’s the endless, soul-crushing repetition of getting the AI up to speed.

You find yourself constantly re-prompting, copy-pasting the same context, and reminding the AI of your specific needs.

  • “Act as a senior marketing expert…”
  • “Use our brand’s ‘friendly but professional’ tone…”
  • “Remember, our target audience is small business owners in the tech space…”
  • “Here is our product spec sheet… again.”

Every new chat is a blank slate, forcing you to waste precious minutes just to get a usable response. You’re stuck getting generic, one-size-fits-all output when you know the tool is capable of so much more. This friction isn’t just a small annoyance; it’s a massive productivity drain that keeps you from getting real, high-leverage work done.

This constant repetition leads directly to frustration. You start to think, “Is this tool even saving me time?”

The worst part is the crippling inconsistency. One day, you get a brilliant, on-brand piece of content. The next, after forgetting one tiny instruction, the output is completely unusable.

Every day this continues, you’re not building a lasting asset; you’re just spinning your wheels in a “prompt-and-forget” cycle. That “AI assistant” you were promised feels more like a demanding intern you have to retrain from scratch every single morning. This inconsistency erodes your trust and makes it impossible to scale your AI-powered workflows to the rest of your team.

What if you could build a “specialist” AI, pre-loaded with your rules, your knowledge, and your voice, that’s ready to go in one click? What if you could then share that custom-built specialist with your entire team?

Imagine if you had a whole team of these AI specialists on call.

Picture this: You click your “Marketing Gem,” and it already knows your brand guide and target audience.

Or what if you could build a “Sales Support Gem” with all your product specs and share it with your entire sales team? They would get instant, accurate, on-brand answers to complex customer questions. This is a future where you stop being a repetitive AI prompter and start being a strategic AI architect.

The solution is to stop using the generic chat window and start building Gemini Gems. A “Gem” is a custom, saved version of Gemini that you program with specific instructions and, crucially, knowledge files. It’s your personal AI expert, built by you, for you.

It’s how you make the AI permanently useful at scale.

Here’s how to build and share your first one:

  1. Define Its Purpose: Start specific. Don’t build a “Do-Everything Gem.” Build a “Weekly Blog Idea Gem,” a “Client Email Polisher Gem,” or a “Brand-Voice-Checker Gem.”
  2. Give It Instructions: This is the core. In the “Instructions” field, give it a role, a task, and a format. (e.g., “You are a witty social media manager. Your task is to turn any article text I paste into 3 engaging tweets. Always include one emoji and one question.”)
  3. Give It Knowledge: This is the game-changer. Use the “Add files” feature to upload your brand style guide, a product fact sheet, a list of your preferred terminology, or even your resume. The Gem will consult this knowledge every time.
  4. Test and Refine: Use the “Preview” panel to test your Gem. Tweak the instructions until the responses are perfect.
  5. Use AND Share: Now, instead of a new chat, you just click your Gem. Better yet, click the “Share” button. You can send a link to your new “Writing Editor Gem” to a teammate, just like a Google Doc, giving them viewer or editor access. You’ve just scaled your expertise.

Building a Gem is simple. Building an effective one that saves your team hours and integrates seamlessly with your workflow takes strategy. I help professionals and businesses move from basic AI chatting to building a library of custom AI “Gems” that scale their expertise.

If you’re ready to stop re-prompting and start building, let’s talk.

Stop training your AI every day. Build it once, and let it work for you.