Day 73 of 100 Days of AI
Today I continued working on the Youtube review agent app project idea but I’m having issues with some of CrewAI tools. Once I resolve this I’ll have a better update.
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3 Learnings from Building a Weekend App with AI
This past long weekend (thanks, Easter break) I dug into an idea I had knocking around. I read Hacker News religiously and the lengthy comments sections can be as insightful as the articles they reference. However, the most interesting stories on Hacker News often have too many comments to digest.
Learn Slow So You Can Move Fast
I learned to code the old-school way: I bought a Python textbook and went through examples and exercises, page by page, writing all the code from scratch. Today, we have AI agents writing code for us. I often use Cursor and LLMs to rapidly generate snippets or whole sections of
The Gen AI Frenzy: What’s Hype, What’s Real, and Where’s the Productivity?
Today, I read two contrasting articles. One posited that we are near the peak of investor hype in Gen AI. It argued that productivity gains from this new technology will be incremental rather than transformative. Another article suggested the opposite. It made the distinction between good bubbles and bad bubbles,
Prompt Engineering: A Surprising Switching Cost of Large Language Models
I've been working on some exceptionally long LLM prompts for a couple of projects at work. I've noticed a fascinating phenomenon: A prompt that works well with one model can diverge in performance when applied to another. This presents switching costs for developers and businesses. You