Conversation Segmentation
When an AI agent talks to multiple tenants simultaneously — humans and other agents — how do you keep each conversation coherent? This interactive demo visualizes the segmentation architecture I designed to solve it.
The Problem
In production agentic systems, a single agent instance receives interleaved messages from multiple sources — end users, orchestrator agents, tool-calling agents — all in one stream. Without segmentation, contexts bleed across tenants: a response meant for User A leaks into Agent B's thread.
The Solution
Conversation segmentation classifies each incoming message by tenant identity and conversational context, routing it to an isolated thread with its own state. Critically, threads share a common memory layer — so cross-cutting knowledge flows without leaking unrelated context.
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