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How I Used ChatGPT to Identify Two Songs I Heard Once — Over 30 Years Ago

A personal memory retrieval turned technical challenge — and how ChatGPT helped solve it. 🎯 The Challenge I had been searching for two songs for decades. One wa…

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A personal memory retrieval turned technical challenge — and how ChatGPT helped solve it.










🎯 The Challenge



I had been searching for two songs for decades. One was a dreamy eurobeat track, the other a dance cover with a female vocal.


I had no artist, no title, no recording — only a feeling, a rough memory of the beat, and the fact that I heard each one only once on the radio in Belgrade in the early ’90s.









🧠 Using ChatGPT as a Research Tool



Instead of asking “What song is this?”, I approached ChatGPT like a research assistant.



Here’s what I gave it:





  • Vocal style: Female


  • Era clues: One was from the late ’80s/early ’90s, the other from the mid-’90s


  • Beat style: One had a groove similar to Back to Life by Soul II Soul; the other leaned more toward eurobeat


  • Context: Both songs were aired only once on Belgrade radio stations during a time of severe UN sanctions


  • Data issue: One track was misidentified as “Three Times” due to a faulty RDS display


  • Memory anchor: I remembered a single chorus line from one of them



I turned that into a structured query — and then refined it through several iterations.









✅ The Result



After a series of narrowing-down steps, ChatGPT helped identify two songs I never expected to find:





  1. “Dreamtime” – Zee (misread on radio as “Three Times”)


  2. “Dream” – W.I.P. (a 1991 dance cover of “All I Have to Do Is Dream”)









🔍 Prompting Breakdown






- Structured inputs: genre, rhythm, era, vocal type, source context
- Prompt chaining: refining results based on emotional match and memory fragments
- Rejection criteria: wrong mood, wrong lyrics, wrong production style
- AI cross-referenced musical style, RDS errors, historical distribution












🤔 Why This Matters



LLMs aren’t just for coding, summarizing, or rewriting emails.


They can act as context engines — helping us reconnect with pieces of our lives that search engines left behind.









💬 Final Thoughts



This wasn’t just about finding songs. It was about proving how human memory + AI reasoning can solve a decades-old emotional puzzle.



And to write it using the very same ChatGPT that helped me find those songs in the first place — that was part of the closure.


Because this isn’t just my story. It’s a reminder that humans + AI can bring back something deeply personal — something even search engines forgot.






Ever used AI to find a lost piece of your past? Let me know in the comments.






A nostalgic view of a car dashboard with “THREE TIMES” on the radio, and a teenager gazing out into the late afternoon light.




AI-generated by ChatGPT for illustration purposes. No memories (or animals) were harmed during the making of this post.


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