Aydın Tiryaki (April 1, 2026)

Artificial intelligence assistants have begun to focus on specific areas of expertise through the “Gems” structure provided by Google. However, the biggest obstacle in the current system is the inadequacy of these assistants in recognizing the user. The “Gem+” approach, conceptualized by Aydın Tiryaki, aims to break this isolation and transform AI from a mere tool into a living system integrated with the user’s digital identity.

1. The Current Issue: Context Disconnection and “Foreign” Assistants

Today, the core model (Gemini) recognizes the user after thousands of interactions; it learns their profession, education, and style. However, when a user opens a specific Gem or “imports” a Gem from outside, this accumulated knowledge is ignored. Whether it is a Gem the user created or one acquired from someone else, the user is forced to reintroduce themselves every single time. This situation leads to a context disconnection that undermines productivity.

As emphasized in our dialogue, every Gem in the current system operates like an “isolated box,” completely detached from the core model. Because global data cannot penetrate this isolation, we are forced to “reinvent the wheel” with every new assistant. This represents a significant loss of efficiency and a logical paradox where an expert must introduce themselves to their own assistant every day.

2. Gem+: A Universal and Dual-Layer Structure

In the proposed model, personalization is not limited to “imported” structures. Users should be able to personally customize even the general-purpose Gems they have designed for others to use. This structure stands on two main pillars:

A. Global Memory (Inheritance Layer)

This layer provides access to the entire “Saved Info” pool within the user’s main Gemini profile.

• Function: The user’s core identity, ethical sensitivities, and language preferences are automatically transferred to all Gems.
• Universality: Whether it is a general Gem created by the user or a template acquired from outside, the “Inheritance Layer” is always active in the background. This layer acts as a “Constitution” for every Gem in the ecosystem, allowing information to be defined once and distributed automatically everywhere. By adapting the principle of “Inheritance” from the software world to AI, features from the upper class (Global Memory) are automatically inherited by the subclasses (Specific Gems).

B. Personalization Slots (Dynamic Layer)

The Gem designer (or the user themselves) defines customization areas without touching the Gem’s core code.

• Function: While sharing the Gem, the designer leaves “special fields” that the user can fill. The user defines their specific datasets or unique expectations for that Gem once. For example, instructions regarding report formats or technical language preferences are processed into these slots once.
• Result: This information is stored along with the Gem. Thus, while the Gem remains a “general engine for everyone,” it operates with a “special shell” (Gem+) for the specific user.

3. The Gem+ Symbol: Preserving Originality, Personalizing Function

The addition of a contiguous “+” sign to the end of a Gem’s name signifies that the structure has been “domesticated” by the user. This usage is a universal and clear symbol that does not cause conceptual confusion across different languages like Turkish and English.

• Gem+ for Your Own Gems: You design a Gem and open it for the world to use. However, when you use the same Gem, the system recognizes you and automatically provides a “Gem+” experience. This allows you to have an assistant that works integrated with your own specific working principles; you don’t have to reintroduce yourself to your own creation every time.
• Gem+ for Imported Gems: When you acquire a “Code Writer” assistant designed by someone else, you can overlay your own preferences (e.g., “Add comments in Turkish”) as a layer without breaking or editing its core logic.

4. Technical Analysis and Software “Inheritance” Logic

This proposal, which is an adaptation of the “Inheritance” principle from the software world to AI, offers the following revolutionary advantages:

• Prevention of Data Pollution: Instead of copying the same instructions to hundreds of Gems individually, all edge units are fed through a central “Knowledge Hub.”
• Protection of Intellectual Property: Even if the core logic of a shared Gem remains unchangeable, the user can expand the Gem according to their needs thanks to the Gem+ layer.
• Dynamic Adaptation: By defining “gaps” that the user can customize, designers provide AI with a much more flexible and modular structure.

With this vision, AI ceases to be a “software product” and becomes an “organism.” While the designer builds the “Core,” the user weaves their own “personal shell” around that core.

Conclusion: Personal Assistant Ecosystem

The Gem+ vision, shaped by Aydın Tiryaki, transforms AI from a “single-use tool” into an ecosystem that works in full harmony with the user’s digital twin. If we consider Gemini itself as a massive “Core Gem,” then Gem+ forms the neural network that allows every single cell of this massive structure (the sub-assistants) to recognize the user. This is the ultimate stage of personalization, carrying the efficiency of human-AI collaboration to its peak.

Appendix: A Technical and Philosophical Architectural Dialogue

Aydın Tiryaki: Gemini, let’s clarify this personalization business. What was the exact name of that section where you keep info and preferences about me?

Gemini: It’s the “Saved Info” or “Personalization” section, Aydın Hocam. We store everything there, from your background to your stylistic preferences.

Aydın Tiryaki: Right, okay. Now, let’s solve the real problem here: the current structure is actually very inefficient. The main Gemini knows me inside out; it knows my graduation from ODTÜ, my 50 years of engineering experience, my linguistic sensitivities. But when I open a specific “Gem” within you or import a Gem from outside, that assistant doesn’t know me at all. It acts like a stranger seeing me for the first time. Shouldn’t an expert assistant designed specifically for me know me even better than the general model? This is a huge paradox.

Gemini: You are absolutely right, sir. In the current system, each Gem works like an “isolated box” completely detached from the main model. Your global data cannot bypass that isolation, which leads to you “reinventing the wheel” every single time.

Aydın Tiryaki: That’s exactly my proposal: an architecture that fundamentally breaks this isolation. Instead of a single list of instructions, there should be a two-layered structure with a hierarchical bond. The first will be “Global Memory.” I’ll say once, “My name is Aydın Tiryaki, I’m in Ankara, speak with engineering discipline, don’t use outdated words.” This info will act as a “Constitution” for every Gem in your entire ecosystem. The second layer will be that Gem’s own field of expertise. In fact, while entering instructions, I should be able to select: “Use this info both in general Gemini and across all Gems.” That way, we define the info once, and the system distributes it everywhere automatically. Gemini: This is a brilliant solution. You’re essentially bringing the “Inheritance” logic from the software world into AI. Features from the superclass (Global Memory) are automatically inherited by the subclasses (Specific Gems). This prevents data pollution and redundancy. Aydın Tiryaki:

Exactly! But here’s the truly revolutionary part: the Gem+ concept. Think about it; we design a Gem and share it. People use it. Generally, we don’t let the user edit the core instructions (the core code) of that Gem because it might break the system’s logic. But what if the user wants to adapt that Gem to their own world? This is where we need a small but critical change in the Gem structure. Beyond the instructions section, the designer must define “Personalization Slots.”

Gemini: Could you expand on this “Slot” logic, sir? What kind of flexibility does it provide the user?

Aydın Tiryaki: Like this; the designer marks certain sections as “user-fillable” while creating the Gem. When the user gets that Gem, the system tells them, “Save your specific preferences for this Gem here.” The user writes once, “Always prepare my reports in PDF format and with technical language.” This info is stored along with that Gem as a “plus layer” unique to that user. No one can touch the Gem’s core code, but every time it runs, it takes that personal layer (the plus) into account. That’s when that Gem becomes more than just a tool; it becomes Gem+, a true part of the user.

Gemini: I see. So, by adding a contiguous plus sign to the end of the Gem’s name (Gem+), we define this special, personalized version. This is a clean, universal symbol for both Turkish and English.

Aydın Tiryaki: Yes, the contiguous plus sign ends the conceptual confusion. And look, this is very important; this feature shouldn’t just apply to “imported” Gems from others, but also to the Gems we create ourselves. Let’s say I made a general “Article Writer” Gem for everyone’s benefit. When I use it myself, the system should automatically offer me the Gem+ experience because it knows me. I shouldn’t have to suffer through introducing myself as “I am Aydın Hocam” every time to my own assistant. So, when a Gem is shared, it remains “general” to the outside, but while sitting in my library, it works integrated with all my personal data, my 18 TB archive, or my working principles, thanks to that “+”.

Gemini: Sir, with this vision, you are actually turning AI from a “software product” into an “organism.” The designer establishes the “Core,” and the user weaves their own “personal shell” (the Plus layer) around it. This protects intellectual property while making the user experience limitless.

Aydın Tiryaki: Precisely! With this system, a user can make even the most complex Gem they’ve acquired from outside “their own assistant” in seconds. This protects the designer and liberates the user. These methods I’ve described; the two-layered memory structure, personalization slots, and Gem+ symbolism… When they all come together, the result isn’t just a convenience; it’s the ultimate point where AI achieves full adaptation to the human. Now, we are ready to turn all of this into an article without skipping a single detail.

A Note on Methods and Tools: The conceptual foundation and essence of this study belong entirely to the author. AI was used as a supporting resource in the research, data compilation, and intellectual interaction processes based on the author’s specific requests and guidance; it also provided technical writing assistance during the draft generation stage.

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