"At first, in small, practical ways. Generating content for design mocks or writing simple scripts to automate boring tasks. I even built a Figma plugin to easily rename all the icons in our icon library, to avoid the repetitive work, but also because I was curious if I could make it work. One thing led to another. I started playing around and started finding excuses to explore."
"No more random blog posts from 2010, fewer half-relevant Reddit rabbit holes. Almost nothing that pulled me somewhere unexpected. I stopped wandering, I started extracting. Super efficient, but over time, that efficiency started to shape how I thought. I was moving faster towards answers, but along narrower paths. Ideas felt more predictable, and I was less surprised by where I ended up. The work converged quickly, sometimes too quickly."
AI began appearing in small, practical ways, generating content for design mocks and automating repetitive tasks. Plugins and simple apps emerged to remove repetitive work and to experiment with capabilities. Experimentation expanded into shipping production PRs and joining a team centered on AI tools, making adoption feel inevitable. Search behavior shifted from broad exploration to concise answers via Perplexity and similar tools, providing direct answers and less noise. Efficiency increased while serendipity declined, reducing random discoveries and unexpected detours. Thinking narrowed toward faster, straighter solutions, causing work to converge quickly and sometimes prematurely, limiting creative opportunities that benefit from detours and dead ends.
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