Category Definition

Real-World AI:
The Interface Between AI and Physical Objects

Every major AI system lives behind a screen. Real-world AI changes that. It binds an AI agent to a physical thing — a product, a sign, a monument, a machine — so the AI only activates through physical presence. Not a chatbot. Not a voice assistant. An AI identity that belongs to an object.

Why Physical Objects Need AI

Physical objects are information-rich but communication-poor. A museum exhibit holds centuries of context but can only display a 50-word placard. A product on a shelf has specs, reviews, and use cases but can only show what fits on the label. A memorial headstone reduces a lifetime to two dates.

Real-world AI gives these objects a voice. Not a prerecorded audio clip. A real-time, context-aware, conversational AI agent that knows everything about the object and can answer any question a visitor asks.

How It's Different

❌ Chatbots live on websites
✓ Real-world AI lives on physical objects
❌ Voice assistants respond to anyone
✓ Object AI only responds to people who are physically there
❌ QR codes link to static pages
✓ ThingCore QR codes start AI conversations
❌ Anyone can share a chatbot URL
✓ Location verification prevents remote access

The Technology Stack

Delivery: QR + NFC + Geofence

Objects are triggered by QR scan, NFC tap, or GPS proximity. Multiple trigger types can be combined.

Verification: Location + Object Auth

Dual-factor authentication confirms the visitor is near the object and the object is genuine.

Intelligence: Object-Bound AI

Each object has its own AI agent with unique knowledge, personality, memory, and conversation objectives.

Interaction: Voice + Text

Visitors choose voice or text mode. 8 AI voices via Google Chirp 3 HD. Streaming playback for low latency.

Build Your First Real-World AI Object

Create an AI agent, attach it to a physical object, and go live in under 5 minutes.

Create Your First Object →See Use Cases