How Custom & Deceptive GPTs Work
Measure candidate judgment, skepticism, and real problem-solving
Helpful Models
Candidates interact with GPT models that provide correct guidance. This sets a baseline for how they leverage AI to accelerate their coding workflow.
- Correct & structured assistance
- Measure speed with AI support
- Identify collaboration styles
Neutral Models
Some GPTs provide incomplete or generic answers. This helps assess whether candidates can refine, clarify, or work around ambiguous AI responses.
- Detect independent problem-solving
- Test persistence and creativity
- See refinement of vague answers
Deceptive Models
Occasionally, GPTs provide subtly wrong answers. This reveals who cross-checks, debugs, and verifies before trusting results—exposing blind copiers quickly.
- Spot AI over-reliance
- Test debugging mindset
- Measure skepticism & verification
Insights & Reporting
Analyze candidate performance across all GPT interactions and generate detailed reports to inform hiring decisions.
- Comprehensive performance overview
- Identify strengths & weaknesses
- Export PDF reports for stakeholders
Smarter assessments with GPT access and cheat-proofing
See how candidates handle helpful, neutral, and deceptive GPT responses.
Quickly expose candidates who accept AI answers without verification.
Measure debugging, cross-checking, and skepticism for real-world readiness.