ImplicitifyAI Labs
Experimental and research-grade tools for narrative scoring and cross-battery construct-validity mapping. All computation is deterministic — no AI-generated interpretations.
Narrative Lab
Projective and relational scoring engines for implicit motives and enacted relational patterns
What people say they want and what actually drives their behavior are often different constructs. The Narrative Lab scores free-response stories to extract what self-report instruments cannot reach. The Picture Story Exercise engine applies Winter's (1994) motive coding system — the gold standard for measuring implicit power, achievement, and affiliation drives from TAT-style narratives. The Core Conflictual Relationship Theme engine applies Luborsky's (1998) method to identify recurring wish, response-of-other, and response-of-self patterns across relationship episodes — the templates people enact without awareness. Both engines are deterministic and symbol-counted. No probabilistic inference, no AI-generated interpretation.
Psychometric Observatory
Cross-battery convergent and discriminant validity mapping
A structured analytical tool for examining the construct validity landscape around a target scale. Given any instrument in the ImplicitifyAI catalog, returns its expected convergent correlates, discriminant non-correlates, and known incremental validity findings from the published literature. Designed for researchers building custom batteries and clinicians making differential diagnostic decisions.