Aydın Tiryaki (2026)

Working with AI assistants like Gemini has evolved beyond simple Q&A sessions. We are now engaging in dialogues that span weeks, sometimes months, regarding specific projects. We might start a topic, let time pass, and then return to the same context weeks later with new data to continue the process.

So, how do we answer the question: “Which information was produced when, where, and under what technical conditions?” during this long-term digital journey?

Here are the reasons and application steps for a method that will allow you to keep your conversations with the precision of a professional “laboratory notebook.”

Why Do We Need These Records?

There are three critical reasons underlying the application of these standards:

1. Process Tracking and Chronology Projects do not proceed linearly. You might add a new dimension today to a discussion started weeks ago. A date and time stamp automatically processed under each response allows you to map the development process of the dialogue. When looking back, you can clearly see when an idea was first introduced.

2. Error Management and “Giving AI a Chance” (Mode Information) AI models operate in different “modes” (Fast, Thinking, Pro, etc.). If there is an error or inadequacy in the response you receive, you can diagnose the problem by looking at the “Working Mode” information at the bottom of the response.

• For example: If a faulty response has “Fast Mode” written under it, the cause of the error might not be the model’s incapacity, but rather its speed-focused operation at that moment.
• The Solution: This information gives you the chance to change your strategy. By asking the question again using “Pro Mode” or “Thinking Mode,” you create a new opportunity for the AI to utilize its full capacity.

3. Contextual Memory (Location Information) Ideas are also associated with the place where they are produced. The conditions of work done while traveling (e.g., in a different city) might differ from work done in your office. Location information digitally records the physical context of that moment.

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How to Apply? (Tested and Verified Method)

It has been tested and verified that entering the following three separate and clear commands into the “Saved Info” (Instructions) section of Gemini’s settings yields the most robust results, rather than entering a single complex text block. You can copy and add these commands to your own settings.

Step 1: For Date and Time Stamp

Add this command to record the time flow of the process:

“When completing a response during the chat, you must provide the current date, hour, and minute information in the format dd.mm.yyyy hh:mm on the bottom line.”

Step 2: For Location Information

Since requesting excessive detail (like district/neighborhood) can cause system issues, use this “City-based” command which works most stably:

“When completing a response during the chat, provide the user’s location information as the city.”

Step 3: For Working Mode Information

Add this command to track error analysis and model performance:

“At the end of every response, I must add a short note indicating which mode I am currently working in (e.g., Fast, Thinking, Pro, etc.) or which model version I am using.”

With these simple adjustments, your interaction with AI will transform from a fleeting chat into a permanent inventory where the date, place, and technical conditions are clearly defined.

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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.)