My life with AI, Feb 2026
In February I started using a little more of Gemini 3 Flash mode. However my verdict is I like Claude better than Gemini.
Feb 1
- “can you help me go through this website and save all the images in a zip file? https://www.sonnyangel.com/en/products/"
Feb 2
- “Hi, I would like to build a book collection database from scratch on obsidian. Can you show me step by step?” [NOTE: this became quite a long conversation with Claude because I had difficulty understanding how to use [[” on Obsidian to link my book cover images]
- “hello, can you explain to me what are ml data pipes”
Feb 4
- “Hello! Singapore is a small country with very little agricultural space, so I'm thinking of creating a mobile app platform that activates a decentralised network of nano-scale farmers who are experts at gardening and farming, give them access to a community marketplace, where sustainbly-conscious customers can come to buy or trade produce. There should also be a focus on stories about creating a new avenue for monetisation, encourage offline gatherings and foster a local-first buying culture. As a startup coach, can you share with me your thoughts about this idea, and guide me through how to start small with an MVP so I can share this idea with potential venture capitalists?” [NOTE: This one's interesting. I was actually sharing my startup idea with Claude, and the conversation continued to Claude advising me to do market testing first before starting to build my app. It suggested that I interview existing farmers about the outputs as well as conduct a survey on potential customers and their delivery preferences. He also proceeded to help me create templates and outreach messages on how to start. It was a very productive conversation.]
- “Hi! I would like to showcase apps built using AI help, so that I can get hired as an AI engineer, can you tell me step by step how I can do it in one month?” [NOTE: I haven't yet follow all the steps suggested, but I guess it was a good guide to refer to]
Feb 15
- “Hi Claude I'm trying to run an eda for the following dataset. It shows the earnings of a food delivery rider for years 2024 to present. Please help me create an EDA using python script to describe, clean and make sense of the data.” [NOTE: I exported my food delivery earnings into a .csv file and asked Claude to help me create a Streamlit dashboard that can help fellow delivery riders to predict potential earnings based on my past data. Took about 2 hours and the results were pretty fantastic. I will publish it soon]