Overview
Jarvis AI is a personal AI assistant built to feel less like a tool and more like a second brain. It sits quietly in the background — available whenever you need it, without the friction of switching context or opening yet another app.
Most AI assistants are generic by design. Jarvis is different: it learns your preferences, remembers past conversations, and adapts its tone and depth to match how you like to think. Whether you're drafting an email, working through a problem, or just need a quick answer, it meets you where you are.
The problem
Existing AI tools felt impersonal — every session starting from zero, no memory of who you are or what you care about. I wanted something that felt genuinely mine: an assistant with context, continuity, and a consistent personality.
There was also a UX gap. Most interfaces are built around a chat window and nothing else. I wanted something ambient — fast to invoke, easy to dismiss, and designed around how I actually work day to day.
What I built
Jarvis runs as a lightweight desktop app with a global hotkey to summon it from anywhere. Under the hood it's powered by the OpenAI API, with a custom memory layer that persists context across sessions using a local vector store.
The interface is deliberately minimal — a single input, a clean response area, and a command palette for switching modes like writing, research, or code review. I spent a lot of time on the feel of it: snappy response times, smooth transitions, and a voice that doesn't sound like it came out of a box.
Outcome
Jarvis has become a genuine part of how I work. The persistent memory turned out to be the most valuable feature — not having to re-explain context every time saves real cognitive overhead. Next up: a mobile companion and support for custom personas.