Productivity

That mind-numbing form I faced today turned into an unexpected experiment in stress-free automation. What should have been another “just punch it out” chore revealed how accessible, fast, and surprisingly satisfying automating everyday tasks can be. Rather than falling back on manual grind, a simple setup and a few smart prompts unlocked a new workflow. With instant feedback guiding each tweak, I shaved hours from my process and sidestepped the pitfalls that used to make automation feel like a full-blown weekend project. The ease of connecting all the right context, transforming it on the fly, and watching a polished result appear made the experience feel more like play than work. ...

Discover seamless code exploration—and what to expect—when using Jupyter workflows inside Cursor When I first stumbled upon Jupyter Notebook support in Cursor, it was hard to get genuinely excited—my early attempts were honestly pretty clunky. Editing .ipynb files felt unreliable, and the workflow didn’t quite “click” the way a true notebook should. I kept bouncing between clumsy interfaces, and it didn’t feel worth the hassle. But recently, something changed. I’m not sure exactly when the update landed, but suddenly, working in notebooks inside Cursor is not just possible, but actually a pleasure. ...

I recently conducted a poll on LinkedIn, asking how often people use AI in their daily lives. The results were interesting, but what struck me the most was the response rate. Out of over 700+ impressions, only 17 people responded. This got me thinking — is it that people don’t care for polls, or is it me, or perhaps most people just don’t care about AI? I believe we should all be looking at everything we do through the lens of “how can I leverage AI here?” This brings me to a problem I recently encountered and how AI helped me solve it. ...