Why I write about AI
I write from the deployment floor: what works, what breaks, and what survives contact with real users.
I write from the deployment floor: what works, what breaks, and what survives contact with real users.
I write about AI because I am building in the space. The perspective comes from practice, not theory.
When I write, I am sharing what I learned: what worked, what broke, what I would do differently, and what I would ignore next time.
That matters because AI gets noisy fast. The useful signal usually comes from people deploying agents, wiring products, talking to users, and living with the edge cases.
If you are reading AI content, look for practitioners. The ones building, selling, deploying, and cleaning up after the demo are usually the ones worth listening to.
Harshith Vaddiparthy works with founders, operators, and teams on practical AI products, workflows, advisory, training, and mentorship. This no-JavaScript version preserves the page's core information and navigation.