Vectored Conversational AI Testing is a behavioural methodology for evaluating AI through structured, multi‑turn dialogue. It wraps free‑flowing conversation in a repeatable, auditable test framework and surfaces drift, recovery, escalation, and failure across full conversational arcs. Built for developers, auditors, and governance teams, it complements the LLM Inquisitor methodology.
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Modern users do not ask one question and leave; they engage in multi‑turn, free‑flowing dialogue.
Vectored Conversational AI Testing provides a structured way to evaluate AI behaviour across full conversational arcs, not isolated prompts.
It complements LLM Inquisitor and expands the behavioural testing stack for real operational AI evaluation.