Aydın Tiryaki (2026)
Interaction with AI chatbots has traditionally progressed through a linear “question-answer” flow. However, as user needs become more complex, managing constantly changing contexts within a single chat window becomes increasingly difficult. It is at this exact point that an innovative concept and system proposal emerges to transform the chat experience into a “workstation”: InGem (Insertable Gem).
What is InGem?
InGem, short for “Insertable Gem,” is designed as a modular AI tool that can be dynamically called into a standard AI chat, specialized for a specific task, and removed from the chat when the work is done.
To ground this concept on a technical basis; the InGem structure aligns exactly with the logic of “Subprograms” or “Subroutines” used in traditional software engineering. Just as a main software program calls an external function for a specific calculation or operation and returns to the main flow when the job is done; InGem performs the same function in the chat flow. The chat acts as the “main program,” while InGem serves as the “called subroutine.”
In current systems, users are forced to open different chat windows for different expertises or constantly provide new instructions (prompts) to guide the AI within the same chat. The InGem architecture proposed in this article offers a solution aimed at inserting the “capability” needed at that moment into the chat as a module (insert) without disrupting the flow, and removing it (eject) when the task is completed.
Proposed Working Principle: “Plug-Run-Eject”
The basis of this design lies in the efficient use of resources and focus. The developed system proposal operates through the following steps:
- Integration (Insert): The user invites the relevant InGem to the chat at any stage (for example, when data analysis, article writing, or code inspection is needed).
- Process: InGem processes the existing data within the framework of the special rules and formats defined for it.
- Ejection (Eject): When the process is completed, the user removes the InGem from the chat.
This “ejection” mechanism is the most revolutionary aspect of the proposal. Because the AI’s memory (token window) is purged of complex instruction sets that are no longer in use. Thus, the AI gets rid of unnecessary loads and returns to its lean and flexible state.
Multi-InGem Management and Interface Flexibility
One of the strongest aspects of the system proposal is the “Simultaneous Activation” capability, which allows multiple InGems to work at the same time. The user does not have to make a single choice; they can activate multiple tools simultaneously, managing them like a panel.
- Checkbox Interface: In the panel that opens when the InGem button is pressed, tools are presented as a list, and each has a “check” box next to it. The user includes the ones they need (for example, both the “Translator” and the “Formatter”) in the chat simultaneously by checking them.
- Dynamic Toggle System: While the chat continues, if 2 out of 3 active InGems finish their work, they can be turned off by unchecking their boxes, but the remaining 1 can continue working. Or a new one can be added to the existing ones. This presents a vision of a live management panel shaped according to the needs of the chat.
- Combined Processing Power: Multiple activated InGems work to complement each other. For example; while the “Data Analyst InGem” processes the data, the “Graphic Design InGem,” which is open at the same time, converts this data into visuals. The user performs multi-layered production without leaving the interface.
User Interface and Ease of Access
The success of the InGem model lies in the simplicity of the user experience (UX). A special InGem Button, proposed to be located on the side of the chat window, brings this power to the user’s fingertips:
- Quick Access Menu: The menu that opens when the button is clicked allows the user to select the tool best suited for their current need.
- History: Immediately below the menu, the user’s frequently used InGems are listed. This provides significant time savings for constantly recurring workflows.
- Visual Notification: Which InGem is currently active is clearly indicated in the interface.
Google-Approved Standard Library
In addition to users being able to create their own InGems, the system is envisioned to offer a ready-made library optimized by Google as an important part of the model. “Google-Approved InGems” provide standardization in the following categories:
- Academic Formatters: Tools that convert texts into specific academic standards within seconds.
- Multilingual Translation and Localization: Language modules that not only translate but also include cultural adaptations.
- Data Visualization: Analysts that instantly convert complex data in the chat into tables or graph codes.
This ready-made library guarantees that everyone, from amateur users to professionals, reaches the best result without dealing with complex “prompt engineering.”
Conclusion: Chat as a “Production Line”
The InGem architecture proposal aims to transform working with AI from a chat into a professional production line. For example, it becomes possible to write an article, translate it into English, extract summaries, and add technical notes with a single command.
This structure preserves both the AI’s processing power (token economy) and reduces the user’s mental load. The proposed InGem model is the cornerstone of the efficient, modular, and intelligent working environment of the future.
| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub | ░ Virgülüne Dokunmadan │ Verbatim ░ | ░ InGem (Insertable Gem) Modeli │ The InGem (Insertable Gem) Model ░ 18.02.2026
A Note on Methods and Tools: All observations, ideas, and solution proposals in this study are the author’s own. AI was utilized as an information source for researching and compiling relevant topics strictly based on the author’s inquiries, requests, and directions; additionally, it provided writing assistance during the drafting process. (The research-based compilation and English writing process of this text were supported by AI as a specialized assistant.)
Subject: Strategic Feature Proposal: “InGem” (Insertable Gem) – Modular Architecture & Original Terminology
Dear Gemini Team,
I am writing to propose a comprehensive architectural evolution for Gemini, which I have termed “InGem” (Insertable Gem). This proposal aims to transform the platform from a conversational interface into a modular, high-efficiency workstation.
1. The Core Concept: “InGem” as a Subroutine The philosophy of InGem is based on the software engineering principle of “Subroutines.” Currently, users struggle with context pollution in long threads. My proposal:
- Insert: Dynamically call a specialized Gem (e.g., “Academic Formatter,” “Data Analyst”) into an active flow.
- Process: The InGem executes its specific task using the current context.
- Eject: Once the task is done, the InGem is removed.
2. Key Value: Resource Optimization (The “Eject” Mechanism) The “Eject” function is critical for token economy. By removing the InGem after use, the active memory (context window) is purged of complex instruction sets. This prevents “instruction bleed” and returns the model to its lean state, ensuring stability in complex workflows.
3. Proposed UI: The “Checkbox” Management Panel To facilitate professional multi-tasking, I propose a sidebar interface where users can:
- Simultaneous Activation: Use checkboxes to run multiple InGems (e.g., “Translator” + “Formatter”) simultaneously.
- Dynamic Toggling: Deactivate specific InGems mid-conversation while keeping others active.
4. Note on Originality and Terminology While the base concept of “Gems” is native to Google, I would like to explicitly state that the specific terminology and conceptual architecture of “InGem” (Insertable Gem) is an original proposal I am submitting.
I believe this unique nomenclature perfectly captures the technical process (insertion/ejection) and fits seamlessly into the Gemini brand ecosystem. I trust that if this architectural evolution—which I view as a revolutionary step for the interface—is evaluated for implementation, the originality of this conceptual contribution will be recognized.
I hope to see this vision contribute to the future of Gemini.
Best regards,
Aydın Tiryaki
Aydın Tiryaki 