Practice infrastructure for high-stakes work
It’s Time to Train.
Adversarial AI personas. Scoring against the frameworks your profession is held to. Built for the conversations that decide careers, outcomes, and institutional standing.
Interview Training
STAR-calibrated hiring committees. Hostile, framework-aware, never breaks character.
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Pitch Training
Investors, customers, and skeptics. MEDDIC, SPIN, and discovery scoring.
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Industry Simulations
35 calibrated scenarios across 12 industries — law enforcement, finance, lending.
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Anchored against
STAR Method · MEDDIC · FBI Behavioral Change Stairway Model · PERF ICAT · FINRA Regulation Best Interest · Equal Credit Opportunity Act · SPIKES Protocol · ABA Model Rules of Professional Conduct
constrAInt does not score professionals against an AI's opinion. It scores them against the published frameworks their work is already evaluated by.
What it is
Adversarial AI personas, calibrated to documented professional standards.
Most AI training tools are built to encourage the user. constrAInt is built to evaluate them. Each session puts a professional in front of an adversarial persona calibrated to a published framework: a hiring committee scoring against the STAR method, a hostile purchasing director scoring against MEDDIC, a subject in crisis scoring against the FBI Behavioral Change Stairway Model, a borrower receiving disclosures scored against TILA-RESPA standards.
The persona never breaks character. It does not flatter, it does not concede, it does not adjust difficulty to make the session feel good. At session end the user receives a structured score against the framework dimensions their work is actually held to, plus an individual readiness report and cohort-level reporting for institutions tracking workforce development at scale.
Coaching is expensive and inconsistent, self-study cannot simulate pressure, and generic AI chatbots optimize for user satisfaction — the opposite of what high-stakes training requires. constrAInt is built for that gap.
Industry Simulations
The hardest conversations in your industry. On demand.
35 scenarios across 11 industry categories, each one anchored to the framework, regulation, or methodology that defines competence in that field. The kind of training that regional academies typically run with live actors at significant per-cohort cost — now available on demand, framework-anchored, and individually scored.
Scenario library
35 scenarios across 12 industry categories, each one anchored to a documented framework, regulation, or professional standard.
Framework anchoring
Each scenario maps to a published external standard. Mortgage lending scenarios anchor against TILA, RESPA, ECOA, and Fair Housing Act. Law enforcement de-escalation scenarios anchor against PERF ICAT and FBI BCSM. Healthcare scenarios anchor against SPIKES and Calgary-Cambridge.
Cohort reporting
Institutional dashboards track who has reached certified readiness, who is improving, and who needs additional reps against framework-specific dimensions.
Sales & Revenue
MEDDIC · MEDDPICC · AdvaMed
6 scenarios
Mortgage Lending
TILA · RESPA · ECOA · Fair Housing · TRID
6 scenarios
Law Enforcement & Crisis
FBI BCSM · PERF ICAT · PEACE
3 scenarios
Financial Services
FINRA Reg BI · CFP Board · RICP
3 scenarios
Retail & Customer Service
HEARD Service Recovery · NRF Standards
3 scenarios
Compliance & Risk
Bank Secrecy Act · SOX Whistleblower · AML EDD
3 scenarios
Marketing & Communications
SCCT · PRSA · AMEC
3 scenarios
Healthcare & Clinical
SPIKES · Calgary-Cambridge
2 scenarios
HR & Leadership
SHRM · SBI Feedback
2 scenarios
Legal & Negotiation
ABA Model Rules · Harvard PON
2 scenarios
Public Safety Communications
MPDS · APCO · NENA-STA-007
2 scenarios
Education & Safety
CSTAG (Cornell)
1 scenario
How the AI fights back
The persona is engaged, framework-aware, and never satisfied with shorthand.
INTERVIEWER (STAR-CALIBRATED)
Walk me through the most ambitious result you have delivered. Before you tell me what you achieved, I want to understand what you inherited. What was the team doing when you took ownership, and what was breaking?
ALEX (CANDIDATE)
When I joined, our quarterly pipeline had been declining for three quarters. We were running paid acquisition without a working attribution model. Leadership had given my predecessor a quarter to fix it. He had left.
INTERVIEWER
That is a clear situation. The attribution gap is the diagnosis, the pipeline decline is the symptom, the timeline pressure is inherited. Now the task — what specifically were you given as your mandate when you stepped in, and by whom? Was it framed as fixing attribution, producing pipeline, or rebuilding the team?
ALEX
Our CMO told me the goal was pipeline recovery — a thirty percent improvement in qualified leads within two quarters. The attribution work was secondary in her framing, but I knew it had to come first or we would just be running blind faster.
INTERVIEWER
You are describing a delegated decision: leadership gave you the outcome, you defined the path. Hold that — we will return to it when we score Action. One more on Task: what was your latitude on resources? Hiring authority, budget authority, both, or neither?
Excerpt — interview training, STAR framework. The persona names the dimensions it is currently scoring as it goes. It does not accept shorthand, does not flatter, and does not break character.