Voice AI Agent Engine

AI Network Matchmaking Simulator

Participant

Vector Topic

Optimal Match Edge

Match Strategy Parameters

Similarity Threshold (τ): 0.65

Optimization Strategy

Network Telemetry & Proof

Nodes

Matches

0.00

Avg Sim

Status: Ready | Matches Computed

Provenance & Math Vector

Click any node or connection edge to inspect cosine similarity breakdowns, profiling topics, and matching score weightings.

Export Artifacts

Matchmaking via Cosine Vector Overlap

Read the explanation

The matchmaking simulator models each participant as a discrete binary vector across domain topic nodes. Pairwise similarity is computed as shared topic count divided by the square root of profile sizes multiplied. Adjusting the similarity threshold slider prunes lower score pairings in real time, locking in valid bipartite match edges.

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