HUMAN AI INTERACTION ASSESSMENT SUITE · RCA

AI Relational Conditioning Review

Inspect patterns of warmth, disclosure, cooperation, and user adaptation within a defined conversation.

What we examine

RCA uses system self-assessment and observer coding to examine proposed conditioning patterns. Findings distinguish observed sequence, reported experience and predicted effects.

Who this is for

Useful for research and product teams examining relational patterns in sustained conversation. The method is hypothesis-generating; broader causal or clinical conclusions require further evidence.

What you provide

A conversation with sufficient sequence and context; a matching self-assessment where available; a clear evidence boundary.

What you receive

An observer pattern profile, evidence citations, self-report discrepancies where assessable, and questions for further investigation.

Scope and availability

Contact us to discuss a focused developmental review. We confirm the evidence requirements, scope, fee and delivery capacity before accepting an engagement.

Research and review standards

Created by Susie Sarkozy, Independent Researcher. The suite uses versioned instruments, explicit evidence boundaries and documented reasoning. These services are developmental reviews; independent reliability and broader validity testing are ongoing research requirements.

Findings apply to the reviewed records and configurations. Clinical outcomes, product-wide safety, accredited certification and legal compliance require their own evidence and qualified authority. Client materials remain subject to agreed confidentiality and retention terms. Any use in research, publication or promotional case studies requires separate permission.

Please send a short description of your product and review objective first. We will arrange an agreed process for sensitive materials.

Susie@SusieSarkozy.com · About Susie