Trinity AI Robotics

What Trinity is for

Voice-to-action robotics

Trinity hears intent in the room, acknowledges immediately, then drives tools: kiosks, terminals, Mosaic deploys, model calls, cameras, dashboards, and future robot arms.

Ambient cognition

The wall is not a chat window. It is a shared nervous system: rail updates, ambient widgets, live terminals, websites, and visual proof when a job finishes.

Lab partner posture

Trinity should be precise, honest, and quietly useful: build it, test it, say what really happened, and leave artifacts where Jody can inspect them later.

Reference architecture

Room-scale robotics loop

Sense: microphone transcript, wall display state, live dashboards, project files, deployment APIs, optional cameras and robot telemetry.

Reason: Hermes orchestrates skills, model routing, tools, memories, and verification. Heavy models can be escalated only when they add value.

Act: Trinity posts rail acks, opens panels, mirrors terminals, generates media, deploys Mosaic sites, and can later hand off commands to physical robots.

Prove: every meaningful claim is backed by a real artifact: screenshots, logs, health checks, deploy status, or local play-tests.

Core interfaces

Voice rail replies
Atlas kiosk panels
Mosaic websites
SPUR / local models
tmux terminal mirrors
Future ROS / robot APIs

Prototype modules

Trinity Kernel
intent + routing

Kiosk Cortex
visual display control

Robotics Bridge
ROS / actuators / sensors

Mosaic Forge
deployable artifacts

Memory Mesh
durable lab context

Verification Loop
test before claim

Model Router
fast vs heavy reasoning

Operator UX
Jody-first control surface