Someday is already here
Local AI isn’t a distant dream, it’s already here. From nano-models running offline to industry-wide shifts toward privacy-first architecture, discover why real breakthroughs are happening on-device, not in the cloud.
There’s something subtle about breakthroughs, they don’t usually arrive with fireworks or flashing signs pointing to them saying, “That’s it, this is the one.”
More often, they quietly weave themselves into the way we already work, becoming useful before they become obvious.
We used to talk about local AI as if it were part of that distant “someday” narrative, something that was maybe interesting in theory, but far too slow, too limited, or too fringe to be taken seriously.
But if you’re really paying attention, it doesn’t feel like someday anymore. It feels like right now.
The current wave of AI is overflowing with tools, some designed for agentic flows, others aimed at marketing, productivity, developer workflows, and everything in between, but only a small fraction of these will truly stick. That’s always how it goes, and it’s not about hype, it’s about fit. When something feels natural to build, to maintain, and to keep improving, the chances of it surviving the long arc of product-market fit increase dramatically.
And that’s why it’s not just about entering the AI space, it’s about living in it.
Many people and teams join the wave, build fast, launch early, and leave just as quickly after the first or second bump in the road.
But the ones who stay, the ones who actually ship the future, are the ones who build something that feels like an extension of what they already know, what they’re already obsessed with. For us, that’s been local AI from the beginning.
Don’t want to brag, but for us, local AI wasn’t a bold bet or a trendy pivot, it just felt obvious from the start. When you're that close to the problem, you don’t wait for the wave, you build like it's already here.
As Tsavo put it, “We used to treat local AI like a maybe-someday story. Now we have nano-models running directly on your device. No cloud calls. No API lag. Just fast, private AI that remembers what you were doing and helps you get back into flow instantly.”
And that doesn’t sound like a concept anymore. That sounds like a product.
Apple now lets developers tap into its on-device AI models, Claude is shipping with security reviews, Google has moved phishing protection into Gemini Nano on Chrome, and Pieces has been working offline since day one.
These aren't isolated features, they're signs of a deeper shift. One where security, privacy, and offline capability aren’t differentiators, they’re the foundation.
And trust me, there's no turning back.
