Aydın Tiryaki (2026)

The act of writing is a challenging process extending from the sprouting of ideas in the mind to pouring them onto lines. However, when you manage this process with the right tools and a planned dialogue, the resulting efficiency can reach astonishing proportions. The dialogue adventure I carried out with my artificial intelligence assistant (Gemini 3 Pro) on February 13, 2026, which continues with over 30 steps, is exactly concrete proof of this productive collaboration.

In this intensive working session that lasted over three hours; numerous text pieces were produced, including 4 different articles, their English translations, and short summaries. The chronological analysis and milestones of this process, completed through mutual dialogues, took place as follows:

Stage 1: The Birth and Shaping of the First Article

• 11:03 (Response #1): The process started with the idea of presenting the suggestion “Get your own domain name and build your digital archive” to a friend who has valuable productions. The artificial intelligence was directed to only take notes and accumulate arguments until I said “let’s write now”.
• 11:58 (Response #6): After the provided details, metaphors, and multimedia additions, the first article draft was created.
• 12:15 (Response #11): Following the arrangement of the reference numbers in the text according to academic rules and perfecting the flow of the text, the approval “Yes, now we can prepare the English of this article” was given. This approval was the official proof that the Turkish version of the article was finished.
• 12:32 (Response #13): With the preparation of the Turkish and English short summaries of the first article, the first big package was completed.

Stage 2: Narrating the Process (Second Article)

• 12:37 (Response #14): Right after the first article was successfully published on WordPress, it was decided to tell the birth story of that article, which originally started on WhatsApp.
• 12:45 (Response #15): Fine-tuning was done on the text, updating the word “advice” to “suggestion” to ensure the targeted message was fully reflected.
• 12:48 (Response #16): With the directive “Yes, I think this article is done, now we can write its English”, the process of the second article was also successfully concluded and its English translation was received.

Stage 3: The Third Article

• 13:01 (Response #17): The foundations of the third article were laid through the questioning “Well, are these articles I write being read?”. Without denying the power of social media platforms, it was emphasized that the main goal is to leave a digital legacy.
• 13:06 – 13:11 (Response #18 – #19): A cautionary paragraph was added to the text about properly managing reader expectations from the beginning. Then, to move away from exaggeration, the expression “millions” was pulled to a realistic line as “very many people”. The rule of not omitting any previously written part was carefully applied.
• 13:13 (Response #20): The final and flawless state of the article was approved and its English translation was requested.
• 13:18 (Response #21): The English version of the third article was also delivered, completing a planned, consistent, and flawless production cycle.

Stage 4: Process Analysis and the Production of the Fourth Article

• 13:46 (Response #22): Following the completion of the three articles, it was decided to write an analysis article (the fourth article) that would document this entire productive process.
• 13:48 – 13:55 (Response #23 – #25): Hardware preferences in the production process (use of computer and microphone), the practice of creating text simply by talking without using a keyboard, and time management details were added to the text step by step. The language used by the artificial intelligence was updated by purifying it from archaic words.
• 14:02 (Response #27): The story of those special infrastructure instructions, which allowed the process to be tracked minute by minute with timestamps and response numbers, was added to the article, and the fourth article, which closed the series, took its final shape.
• 14:08 (Response #29): Due to the living, dynamic nature of the process, the text was updated to correct the number of produced pieces to 10 and the elapsed time to over 3 hours, as it actually was, and this final intervention was added among the stages.

Technology and Method Used Throughout this entire process, the Gemini 3 Pro model was used to ensure that the directives were fully understood, the texts underwent iterations without breaking context, and the translations were done with native language warmth. This study is a document of how flawless results can be achieved when artificial intelligence is positioned not as a creator replacing the author, but as a tireless assistant that preserves and compiles the author’s ideas, words, and metaphors down to the finest detail.

Behind the ability to analyze this process in such detail lies a very important infrastructure work. A few days ago, specifically to be able to use in this type of work, I had given a special instruction to my artificial intelligence assistant: to add a counter at the end of each response showing the current date, time, the AI model used, and which step of the conversation it is (response number). I would like to give my assistant its due by stating that it has applied this instruction flawlessly and very beautifully since that day. It is thanks to those timestamps and response counters below the texts that today we can look back and document the process analysis of this intense production spanning hours so clearly, minute by minute, step by step.

Hardware Preference, Working Practice, and Time Management In this special working session, a computer and the computer’s microphone were deliberately used as the hardware preference. Although conducting such work over the phone is a much more comfortable and customary method under normal conditions, the length of the thoughts and texts to be conveyed necessitated the computer in this process. Because while doing voice dictation on the phone application, at every pause or breath taken, the artificial intelligence immediately steps in and tries to produce a response. If this work had been done over the phone, the number of steps could have increased at least three or four times due to these constant interruptions. When you want to explain things at length, at least while working with Gemini, using the computer’s microphone offers a much more practical and uninterrupted experience (of course, this situation may vary in other artificial intelligence tools).

One of the most striking aspects of this process is that almost no keyboard was used throughout the production. This entire series of articles was shaped entirely through my verbal expressions, with the help of only the computer’s microphone and a mouse. The keyboard was rarely resorted to, only during the publishing stage, to enter very short information like dates. Being able to prepare such a comprehensive article series without using a keyboard, just by talking and with the author’s own expressions, sets a wonderful example for future production practices.

Many of the inputs entered by me throughout the process were quite long verbal narrations, and the artificial intelligence evaluated them by instantly translating them into text. The time gaps between the dialogues seen in the analysis table were never wasted times; on the contrary, they were the stages of publishing those produced articles on my WordPress site in accordance with my own formats. As a result, under 3 different complementary subheadings, a total of 10 pieces of qualified text (including Turkish, English, and summaries) were both produced and published with the assistance of artificial intelligence in a period exceeding 3 hours.

The point we reached at the end of this productive working session spanning hours is this very process analysis you are currently reading. This study, which documents the entire production process, holds the distinction of being the fourth and closing article of our series today. In other words, after those 3 main articles, we are successfully concluding our session today with this 4th article, which breaks down this study and explains the production practices.

| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub  | ░ Kendi Dijital Alanını Yaratmak │ Creating Your Own Digital Space ░ 13.02.2026

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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.)