Kennice Setiadi

It is now the 7th of May, and somehow my second day of learning AI has turned into an unexpected experiment about time, self-awareness, and priorities. Today’s project was something surprisingly personal: a 2026 Time Expenses Record . The idea is simple. Treat time the same way people treat money. Every hour spent is an expense. *** Building a “Time Expenses” System I started recording where my time actually goes: work church meeting friends appointments commuting studying for the PTE test any activity that consumes at least 30 minutes to an hour The interesting part is not the tracking itself. The interesting part is how AI helped me automate it. I connected Codex to: Google Calendar Google Sheets Then Codex generated a Google Sheet that extracted data directly from my calendar. What surprised me most was not the automation itself, but how collaborative the process became. I was not simply pressing buttons and receiving outputs. I had to: clean the extracted ...

After several inconsistent attempts over the past six months, I have returned to trading with a more deliberate approach. Today marks the first day of recommitting to the process. Session Context I opened NinjaTrader and traded on simulation. Initially, I experienced some hesitation while reviewing the charts, as I struggled to recall my prior notes and frameworks. However, after spending a few minutes observing price action, I began recognizing familiar structures. The market appeared to be in a choppy condition , which I confirmed by comparing it with the previous day’s price behavior. Trade 1 Setup: Predefined with Fibonacci tool Context: Choppy market Action: Entered trade quickly Result: + $160 I later validated my interpretation of the market condition, confirming that identifying the chop was correct. This reinforced confidence in my read. Post-Trade Observation Shortly after, price broke below my Fibonacci retracement level. Based on this, I decided to pause ...

I never expected that my professional life as a chef would intersect meaningfully with artificial intelligence. In my world, precision is measured in grams, timing is instinctive, and success is something you can taste immediately. AI, on the other hand, felt abstract—something distant, technical, and largely irrelevant to my day-to-day routine. That assumption did not hold for long. *** Realising This Was Not My First Encounter with AI In retrospect, my exposure to AI did not begin with the recent surge of tools like ChatGPT. I had already experimented with AI earlier than I initially realised. In early 2022, I subscribed to Rytr . At the time, discovering Rytr felt transformative. It genuinely felt as though an entirely new world had opened—one where writing, ideation, and content generation could be accelerated in ways I had never experienced before. There was a sense of novelty and excitement, almost like witnessing the early stages of something significant. I remember that my ho...

I thought I would be fine after two weeks. I genuinely believed that. That I would grieve, process it, and then go back to normal, or even come back stronger. But I was wrong. Grief does not follow a schedule. It appears at random, in quiet moments, in the middle of ordinary days. It reminds me of something strange: when I used to play The Sims , and a character would occasionally stop what they were doing just to cry after losing someone. I used to think that was exaggerated. Now I understand. That is exactly what it feels like. This was not my first experience with grief. I was twelve when my grandma passed away, and I remember grieving deeply. Back then, grief was loud. I cried openly. I screamed. It was overwhelming, but it was also clear. This time, it feels different. The sadness is still there, just as heavy, but quieter. I do not cry the same way. I cannot release it the way I used to. It lingers instead. Very subtle, but persistent, and difficult to process. I find myself sitt...