ImplicitifyAI Labs
Experimental and research-grade tools across narrative scoring, cognitive AI safety, and real-time psycholinguistic signal detection. 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.
AI Safety Lab
Real-time cognitive slippage detection during human-AI interaction
Semantic drift is a continuous process everyone experiences under load, fatigue, and attentional depletion — not a categorical clinical event. Each engine computes ratios between linguistic features and biometric streams to produce a single real-time vulnerability signal, because a person engaging with AI under cognitive load is maximally susceptible to persuasion. Five provisional patents cover this system.
Narrative Signal Lab
Type anything — six concurrent engines fire simultaneously
One textarea. Six engines. Biometric signal (WPM, IKI, dwell, rhythm CV), Kraepelin entropy (MDP Index, FCL rate, Slip Index), SlipScale clinical decomposition (speed/coherence/rhythm/semantic slip), narrative motive coding (nAch/nAff/nPow imagery), dopamine layer (VTA→NAc→PFC reward pathway signal), and entropy debt accumulator — all updating in real time from a single stream of text. All computation runs locally. No data leaves your browser.
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.
Reaction-Time Task Suite
Browser-native cognitive tasks built in Rust → WebAssembly
High-precision reaction-time tasks compiled from Rust to WebAssembly for frame-locked stimulus timing. The Lexical Decision Task is live now — 40-trial word/nonword discrimination with semantic priming at two SOAs. The Stroop Color-Word Task and MaCA cognitive battery are live.