Aydın Tiryaki (2026)

1. Introduction: The Current State of Digital Memory

Digital platforms have made “retrospective summary” features a standard in order to increase user engagement and establish an emotional connection with the past. The most powerful examples of this include Spotify’s “Wrapped” series, which has become a global end-of-year phenomenon; Facebook and Google Photos’ “On This Day” reminders; and especially this year, the comprehensive annual summaries provided by YouTube and YouTube Music, which report viewing and listening habits with detailed analysis.

While these platforms process our visual and auditory memory to hold up a personal mirror to us, the “AI Assistants” (Gemini, ChatGPT, etc.) where we currently spend most of our time, generate ideas, and develop projects, remain silent and reactive in this regard. However, the interaction between AI and the user consists of more than just instantaneous Q&A; it represents accumulated intellectual capital.

2. The Proposal: A Proactive and Human-Supervised Production Model

It is possible for AI assistants to prepare monthly or annual videos for the user based on past data (conversations, uploaded images, analyses). However, considering privacy and psychological sensitivities, this process should operate not on “Full Automation” but on a “Human-Supervised Automation” principle, following the 3-stage model below:

A. Consent and Proposal Stage (Opt-in)

Unlike social media, AI is a user’s private workspace. The system should not abruptly present a surprise video without the user’s knowledge. Instead, it should ask a proactive question:

• “We worked on 4 different projects and analyzed over 30 images together last month. Would you like me to prepare a monthly summary video consisting of these?”

This approach respects the user’s current mood and gives control to the human from the very beginning.

B. Curation and Selection Stage (Filtering)

AI’s biggest handicap is “context blindness.” A technically successful image or conversation might represent a bad memory (a failed project, a lost relative, etc.) for the user. To prevent this risk, the system must present a “Table of Contents” before production:

• System:“I plan to use the following topics in the video, do you approve?”
  • [x] Inebolu Historical Images
  • [ ] Jan 14th Code Error Solution (User unchecks this)
  • [x] METU Project Drafts

The user filters out the “old notebooks” they do not wish to remember or see in the video at this stage. Thus, the resulting product becomes a “surprise,” but never a “shock.”

C. Efficient Production (Idle Time Management)

Video rendering requires high processing power. After receiving user approval, the system optimizes resource management by stating: “I will prepare this during idle times when servers are not busy and notify you.”

3. Logistics and Distribution: Ecosystem Integration

Regarding where the produced video will be hosted and how it will be shared, existing integrated ecosystems (e.g., Google & YouTube) should be utilized. In this model, the flow should be as follows:

1. Default Private: The video produced by Gemini is uploaded directly to the user’s YouTube account in “Private” format. No one but the user can see it.
2. Watch and Decide: The user watches the video. If satisfied with the result, they can make the video “Public” or “Unlisted” with a single click.
3. Viral Potential (Shorts): In addition to the long summary, the system optionally offers a 60-second vertical “Shorts/Reels” version suitable for sharing on social media. In this way, valuable content in the user’s personal archive (e.g., an old family video or local history document) carries the potential to go viral with AI editing.

4. Conclusion

With this proposed model, AI will evolve from being merely an “answering machine” into a “production partner” that adds value to its user’s memories and transforms idle data into “works of art.” The key point in this transformation is not the technology showcasing its capabilities, but a human-centric control mechanism where the user decides “what to remember and what to share.”

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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.)