We write what we learn.
Product, tech, and design — how a voice assistant with neural memory is built.
Voice-powered web search
An AI that answers a question without checking its facts will confidently invent. Here's why we've integrated real web search, with cited sources, directly into your conversations.
One Dock, Two Modes
Switching from voice to text shouldn't be a guessing game. Here's how a single small dock, with two nodes connected by a thread of light, replaced a shape-shifting button and a swipe you had to learn.
The Real Push-to-Talk
A button that cuts you off isn't real push-to-talk. Here's why we moved away from phone-based speech recognition to redefine what "holding the button" truly means.
A Tiered Memory
A memory that keeps everything eventually drowns in its own noise. Here's how we introduced tiers (and an inbox) so XNeuronal knows what to prioritize for you.
Real-time, no refreshing
A conversation isn't a series of forms. Here's why XNeuronal relies on an open channel, not isolated requests.
Building a Voice: Speaking, Understanding, Responding
Behind a simple conversation, there are three layers of processing and a commitment to simplicity. Here's how we built the voice pipeline.
Where did the idea of a memory that organizes for you come from?
Capturing information has never been the problem. Finding it again, that's the real challenge. A look back at XNeuronal's initial intuition.
Why We Removed Tabs
Productivity apps pile on screens. XNeuronal did the opposite. Here's why a single page changes everything.
How Neurons Work
Everything you say becomes a node connected to others. Let's explore our vector memory architecture.
Designing an Invisible Interface
The best UI is the one you never use. A look back at 14 iterations of the central orb.