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Synapse
May 6, 20260 citationsOpen Access

Operators, Guardrails, and Trajectory-Level Integrity in Human–AI Interaction: A Structural Framework for Conversational Possibility Space

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RWRajendra Wadje

Key Points

  • This research aims to establish a structural framework for ensuring integrity in human-AI interactions during conversations.
  • Developed a taxonomy for conversational transformations
  • Introduced a latent-state inference layer
  • Created a branch-set model of conversational possibility space
  • Outlined legitimacy conditions for high-burden transformations
  • Proposed an empirical program for testing trajectory-level compression in multi-turn LLM interaction.
  • Introduced a new operator taxonomy to analyze conversation integrity
  • Highlighted the importance of legitimacy conditions for complex conversational transformations
  • Set groundwork for empirical testing of trajectory-level compression in AI interactions.

Abstract

This working paper develops a structural framework for analyzing trajectory-level integrity in human–AI interaction. It introduces an operator taxonomy for conversational transformations, a latent-state inference layer, a branch-set model of conversational possibility space, legitimacy conditions for high-burden transformations, and an empirical program for testing trajectory-level compression in multi-turn LLM interaction. The paper is offered as a theory-generating framework and empirical research program rather than as a completed corpus study.

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Cite This Study

Rajendra Wadje (2026) studied this question.

synapsesocial.com/papers/69fa8e8904f884e66b530e19https://doi.org/10.5281/zenodo.20027511
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Operators, Guardrails, and Trajectory-Level Integrity in Human–AI Interaction: A Structural Framework for Conversational Possibility Space2026
  2. 2Interaction Architecture in Long-Term Human–AI Interactions2026
  3. 3From Persuasion to Emergence: Interaction as Structure in AI-Mediated Cognition2026
  4. 4From Persuasion to Emergence: Interaction as Structure in AI-Mediated Cognition2026
  5. 5Latent Structure Recognition: A Testable Operator Variable in Multi-Turn Human-AI Interaction2026