[ Intelligence ]

Twelve signals. One verdict you can defend.

Behind every Nugget recommendation is a stack of independently verifiable signals — drawn from conversation, behavior, biographical truth and the JD itself. No black box.

[ Intelligence // forensic layer ]

Non-contact vitals. Verified claims.

rPPG pulls heart-rate and HRV from the camera. CBCA + cross-source triangulation grades every claim. Truth-first isn't a slogan — it's a citation trail.

HOLO_PANEL // rPPG_FORENSICtap or focus a marker to inspect live signals

[ Domain Specialisation // peer-reviewed stack ]

Both agents are trained on verified science.

Behaviour. Forensics. Vitals. I/O. Every signal Nugget computes is traceable to a citation — so a hiring decision can be defended in front of a board, a regulator, or a candidate's lawyer.

[ 01 ] Behavioural ScienceCITED

Big-Five at the speech-act layer

We don't run gamified tests. Open-vocabulary conversational analysis maps utterances to FFM trait estimates, regulatory focus, and motivational orientation — calibrated against >1.4M labelled interview transcripts.

Techniques applied

›IPIP-NEO open-vocabulary mapping
›Regulatory Focus Theory (Higgins) tagging
›Self-Determination Theory (Ryan & Deci) motive split
›Conscientiousness × tenure interaction modelling

Literature3 cards · click to expand

[ 02 ] Forensic & Truth SciencesCITED

Claim verification with statement-validity protocols

Every spoken claim is routed through statement-validity analysis (SVA / CBCA cues), source triangulation, and deepfake forensic checks before it scores. Inflated claims aren't rejected — they're downweighted with an explainable trace.

Techniques applied

›Criteria-Based Content Analysis (CBCA)
›Reality Monitoring (Johnson & Raye) markers
›Liveness + face-swap forensic detection (FaceForensics++)
›Cross-source temporal consistency graphs

Literature3 cards · click to expand

[ 03 ] Vitals — rPPG & Voice BiomarkersCITED

Non-contact physiology from camera and mic

Remote photoplethysmography (rPPG) recovers heart rate, HRV and respiration from facial micro-colour shifts during video. Combined with prosodic features (jitter, shimmer, pause structure) we model arousal, regulation and presence — opt-in, on-device by default.

Techniques applied

›POS / CHROM rPPG signal extraction
›HRV time-domain (RMSSD) + frequency-domain (LF/HF)
›Prosody: jitter, shimmer, speaking-rate variance
›On-device inference; raw video never leaves the client

Literature3 cards · click to expand

[ 04 ] Industrial / Organisational ScienceCITED

Predictive validity over interview theater

Selection science is brutal about what predicts performance. Nugget weights structured work-sample evidence and cognitive-task signal far above unstructured interview impressions — and surfaces the validity coefficient behind every match.

Techniques applied

›Structured behavioural sampling (Campion 1997)
›Work-sample test scoring (highest single-predictor validity)
›g-loaded reasoning probes calibrated per role family
›Adverse-impact monitoring per EEOC 4/5ths rule

Literature3 cards · click to expand

Psychometric signal — macro of a human eye

PSYCHO_FEED // RAW●

[ 01 ]SIGNAL

Psychometric

Conversational big-5, motivation, regulation

[ 02 ]SIGNAL

Vitals

Voice prosody, pacing, energy, presence

[ 03 ]SIGNAL

I/O Science

Role-fit, team-fit, manager-fit models

[ 04 ]SIGNAL

JD Parsing

Intent extraction, hidden requirements

[ 05 ]SIGNAL

LinkedIn Validation

Tenure, claim, network triangulation

[ 06 ]SIGNAL

Fraud Detection

Deepfake, identity, credential fraud

[ 07 ]SIGNAL

Truth Score

Cross-checked claims, weighted by source

[ 08 ]SIGNAL

Candidate Signalling

What the candidate is really asking for

[ 09 ]SIGNAL

Merchant Signalling

What the team will actually accept

[ 10 ]SIGNAL

Match Index

Two-sided fit, calibrated per role

[ 11 ]SIGNAL

Career Trajectory

Next-best move, internal or external

[ 12 ]SIGNAL

Risk Surface

Counter-offer, attrition, ramp risk

[ Neutral Match Scoring // third-party scorer ]

Neither agent grades the match.

Candidate Agent and Merchant HR Agent both submit evidence into a third, neutral scorer with frozen weights — audited quarterly. Neither side can re-weight after seeing the score. Truth-first, by construction.

scorer.config

weights.frozen: true

audit.cadence: quarterly

Σ.weights: 1.00

Dimension

Weight

Source

Note

Skill Evidence Match

22%

Work-sample + structured probes

g-loaded, role-family calibrated

Psychometric Compatibility

14%

Open-vocabulary FFM + RFT

Both agents submit, neutral scorer blends

JD Intent Coverage

18%

Merchant JD parse × Candidate claims

Unspoken requirements weighted

Truth & Verification

16%

CBCA + cross-source triangulation

Inflations downweighted, not hidden

Vitals & Presence

rPPG + GeMAPS prosody

Opt-in; on-device only

Negotiation Compatibility

12%

Band overlap × candidate floor

Computed before humans see the match

Retention Forecast

10%

I/O tenure × team topology

EEOC adverse-impact monitored

audit.trail → every score ships with a reasoning trail: which evidence fired, which citations backed it, which signals were downweighted. A candidate can dispute. A regulator can read it. A hiring manager can defend it.

Truth-first protocol

Every claim is cross-checked against three independent sources before it counts.

Resume said "led a team of 12" — Nugget asks LinkedIn, asks past managers, asks the calendar. If sources disagree, the claim is downweighted, not silently passed through.