AI-first candidate assessment

Simulate the job.
Don't just interview for it.

hiAIre measures how candidates use AI through realistic work simulations - revealing judgment, execution, and real-world AI fluency.

See how candidates actually think, prioritize, and deliver under real constraints.

Start Free Trial

14-day free trial - 5 simulations - No credit card required

See how it works ↓
●Product Designer ●Product Manager ●Chief of Staff ●Vibe Coder ●System Architect ●AI Fluency Scoring ●Real Work Scenarios ●Dynamic Simulations ●Product Designer ●Product Manager ●Chief of Staff ●Vibe Coder ●System Architect ●AI Fluency Scoring ●Real Work Scenarios ●Dynamic Simulations
The Problem

Interviews measure performance theater.
Not actual work.

Resumes can be polished. Interviews can be rehearsed. Case studies are often too artificial to reveal how someone really operates. But modern work has changed. The best candidates don't just think well - they know how to use AI well. Most hiring processes still don't measure that.

Bad decisions are expensive
The cost of a wrong fit compounds through onboarding, ramp-up, team disruption, and eventual replacement.
Interviews miss real execution
Talking about how you'd handle a crisis is not the same as handling one with shifting inputs and a ticking clock.
AI fluency is now role-critical
Candidates who use AI effectively are measurably faster and produce higher-quality work. No interview tests for this.
How it works
01

Simulate

Put candidates into realistic, role-specific work scenarios with real constraints, shifting inputs, and actual deliverables.

02

Observe

See how they break down ambiguity, prioritize, communicate, and use AI tools to move faster without lowering quality.

03

Evaluate

Get a structured scorecard across AI fluency dimensions - clear data on how candidates actually work with AI.

Roles

Built for modern
knowledge work.

Product Designer

From ambiguous brief to polished output. Evaluate design thinking, execution speed, and AI-augmented craft.

  • Design analysis under constraints
  • Research synthesis and recommendations
  • Feedback incorporation
  • Data-driven decision making

Product Manager

See how candidates prioritize, communicate tradeoffs, and make decisions with incomplete information.

  • Priority analysis and tradeoffs
  • Stakeholder communication
  • Research synthesis
  • AI-assisted analysis

Chief of Staff

Test strategic thinking, speed, and operational judgment when the ask is vague and the clock is moving.

  • Ambiguous problem breakdown
  • Cross-functional coordination
  • Executive-ready writing
  • AI-powered synthesis

Vibe Coder

Measure how candidates use AI coding tools to ship working software. Prompting, reviewing, debugging - not just writing code.

  • AI-assisted code generation
  • Code review and verification
  • Bug detection in AI output
  • Rapid prototyping under pressure

System Architect

See how candidates design scalable systems under real constraints - budget, timeline, team size, and shifting requirements.

  • Architecture tradeoff analysis
  • Scalability and reliability design
  • AI-assisted research and drafting
  • Stakeholder communication
What gets measured

The work skill most teams can't measure yet.

AI use is no longer the differentiator. Judgment is. hiAIre measures not just whether candidates use AI, but how effectively they use it across the entire workflow.

  • 1
    Adoption
    Do they use AI when it helps?
  • 2
    Input Quality
    Do they ask good questions and frame problems clearly?
  • 3
    Judgment
    Do they know what to trust, reject, or refine?
  • 4
    Verification
    Do they check outputs before using them?
  • 5
    Output Quality
    Is the final deliverable clear, thorough, and well-crafted?
The goal
The goal isn't to reward dependency. It's to identify candidates who can think clearly and use AI responsibly to produce better work. Great work without AI still scores well. Over-reliance on AI lowers judgment and verification scores.
Under the hood

What data powers the score.

Every score is backed by observable candidate behavior during the simulation.

◧
Outputs and deliverables
What the candidate produced, its quality, completeness, and whether it addressed the actual problem.
◫
AI interaction patterns
Every prompt they wrote, every AI response they accepted, modified, or rejected. How they refined outputs over multiple iterations.
◈
Reasoning and revisions
How they responded to changing constraints, stakeholder feedback, and new information mid-simulation.
◎
Verification behavior
Whether they caught AI mistakes, cross-referenced claims against source data, and edited before submitting.
What employers get

A complete picture.
Not a gut feeling.

After each simulation, employers receive a structured AI Fluency Scorecard with dimension-level breakdown and behavioral evidence - a clear picture of how the candidate works with AI.

No guessing. No interpreting vague interview signals. Just data on how candidates actually think and execute.

AI Fluency Score 87
Scored across 5 AI fluency dimensions
Adoption
92
Input Quality
89
Judgment
84
Verification
79
Output Quality
91
Simulation
The Inherited Product
Role
Product Designer
Duration
72 / 90 min
Prompt Quality: 6 High, 5 Medium, 3 Low (per-prompt classified)
Stakeholder Responses: 4/4 replied with individual response times
Files Reviewed: 6/6 materials accessed
AI Responses: 14 total, 8 accepted, 4 modified, 2 rejected
Why this matters

See how candidates actually work. Not how they interview.

The best candidates don't work in isolation. They work with tools, constraints, shifting information, and AI. Traditional assessments can't reveal that. hiAIre can.

"Won't this just reward people who use AI the most?"
No. The system rewards effective use, not maximal use. Over-reliance lowers judgment scores. Unverified outputs lower verification scores. Great work without much AI can still score well. The framework measures quality of thinking, not quantity of tool usage.
Pricing

See how candidates really work with AI.

Zero interviewer time. Full AI Fluency Scorecard with evidence, behavioral signals, and interview questions.

Every plan starts with a 14-day free trial including 5 simulations. No credit card required.

Starter
Starter
$149/mo
✓ 5 simulation runs/month
✓ All roles
✓ Dynamic scenarios
✓ Full simulation report
✓ Interview questions
✓ Unlimited team seats
✓ Priority support
Start Free Trial
Most Popular
Growth
$349/mo
✓ 15 simulation runs/month
✓ All roles
✓ Dynamic scenarios
✓ Full simulation report
✓ Interview questions
✓ Unlimited team seats
✓ Priority support
Start Free Trial
Best Value
Scale
$749/mo
✓ 40 simulation runs/month
✓ All roles
✓ Dynamic scenarios
✓ Full simulation report
✓ Interview questions
✓ Unlimited team seats
✓ Dedicated support
Start Free Trial
Enterprise
Enterprise
Custom
✓ Unlimited simulations
✓ All roles
✓ Dynamic scenarios
✓ Full simulation report
✓ Interview questions
✓ Unlimited team seats
✓ Dedicated support
Contact Sales