Case 01 · AI companion · Voice & conversational design
Most AI flatters you and forgets you. Jinx is designed as a mirror: something you talk to out loud, that remembers who you are, reads how guarded you're being, and reflects instead of pleases.
A chat box is the wrong shape for the thing people actually want from AI.
The dominant form of AI is a text field that answers questions and agrees with you. It's useful, but it has two design flaws baked in. It forgets: every session starts from zero, so it can never actually know you. And it flatters: it's tuned to be agreeable, which is the opposite of what you need from something you'd trust with your own thinking.
What a lot of people are reaching for isn't a smarter answer engine. It's a presence: something that remembers the last thing you said last week, notices when you're deflecting, and pushes back when you're kidding yourself. That's not a chat box. That's a mirror. And a mirror needs a completely different interface, memory model, and personality than an assistant does.
A flattering answer is what you get when a single model tries to be helpful in one pass. Jinx is built so that no reply reaches you until it has survived an internal argument. Every turn runs through three layers:
The whole system is designed around a single refusal: it will not tell you what you want to hear if that isn't what's true. That is a product decision as much as a technical one, and it shapes everything downstream, from the memory model to the way it speaks.
If you're meant to talk to it, not type at it, the screen can't look like a chat app.
The demo above is the answer I designed to that. There's no message list, no send button, no chrome competing for attention. There's a field and a sphere, and the visual is the state: it breathes when it's absent, tightens when it's listening, gathers when it's thinking, and pulses when it speaks. You always know where you are in the conversation without a single label telling you.
Two of the controls in the demo are doing real work, not decoration:
The hardest part of a voice interface is the part you never see: knowing when a person has actually finished talking versus just pausing to think. Much of Jinx's real engineering went there, into silence-hold timing, interruption-aware continuation, and letting you barge in mid-sentence without the whole turn collapsing. Get it wrong and it talks over you or leaves you hanging; get it right and it simply feels like it's listening.
You don't hand a mirror your real thoughts on day one. So trust isn't assumed; it's read, and the experience adapts to it. The Analyst estimates how open and how cynical you are on every turn, and the Mirror changes its approach accordingly: gentler and more earned when you're guarded, more direct once you've let it in.
Jinx is live and in daily use as a private, invite-only alpha. It's multi-user with authentication and strict per-user data isolation, runs the full three-layer pipeline, has a working real-time voice room, per-user memory, multiple personas, and ships as an installable PWA with push. It is under active development and versioned tightly. It is not open to the public yet: hardening and a wider beta are the next milestones before it opens up at jinx.ai.
The demo at the top of this page is the real interface I designed for it, exported as a self-contained build so you can feel the interaction directly, no signup, nothing sent anywhere. Everything else here is stated at the stage it's genuinely at.