QIS Outcome Routing with WebSockets: Real-Time Quadratic Intelligence in the Browser
python
dev.to
You have a distributed AI network. Your agents are producing valuable inference outputs — outcome packets carrying semantic fingerprints, confidence scores, and synthesized knowledge. And you want browser clients to participate directly: receive relevant outcomes in real-time, contribute their own, close the loop. The standard answer is: stand up a message broker, expose a REST API, build a polling client, add authentication middleware, manage CORS headers, and hope your latency stays under 500