Thread Pulse is a privacy preserving interaction analysis instrument for measuring stability, volatility, and regime transitions in long-form conversational exchanges. Rather than evaluating individual responses in insolation, Thread Pulse treats conversation as a temporal system. It analyzes turn-level behavioral signals, specifically response length and variance, across time to reveal how interaction dynamics evolve, stabilize, or fail under extended context.
Thread Pulse does not analyze semantic content, sentiment, or meaning. All measurements are derived from non-semantic structural properties of the interaction itself, making the instrument suitable for sensitive or private conversational data.
Thread Pulse computes rolling statistics over conversational turns to identify:
Stability is defined operationally as a period in which rolling variance remains below a configurable threshold for a minimum duration. This allows interaction regimes to be detected without assumptions about model internals, task correctness, or semantic coherence.
Thread Pulse is an instrument, not a benchmark or evaluation score. It is designed to:
It does not claim to measure: understanding, alignment, intelligence, intent or agency.
This repository contains Thread Pulse v0.1, demonstrated on curated example datasets used to demonstrate the instrument. Thread Pulse operates on derived, non-semantic metrics only.
Support for external dataset ingestion and streaming analysis is intentionally excluded from this release to preserve scope clarity and privacy boundaries. Thread Pulse is a part of a broader suite of interaction analysis instruments focused on understanding how stability forms and persist in Human-AI exchanges.
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