AI Assistant Proves AI Readiness—Beyond Coding Skills

AI Assistant gives candidates real-time support—and shows you how they think, code, and collaborate with AI.

AI Assistant Proves AI Readiness, Not Just Coding Skills

AI Assistant guides candidates through Technical Assessments and Live Coding Interviews, creating a realistic, engaging experience. Recruiters see how candidates think, problem-solve, and collaborate with AI, insights you’ll never get from code alone.

AI Assistant for Technical Skill Assessments

Get a complete picture of how a candidate interprets, improves, and delivers solutions using AI tools—without gaming the system. It’s an authentic read on skills and real world ability. Enable candidates to:

• Ask clarifying questions about the challenge
• Get code suggestions and debugging feedback
• Receive insights on security, performance, and edge cases
• Leverage AI like they would on the job—within a controlled environment

AI Assistant for Live Coding Interviews

Get a nuanced understanding of the candidate’s problem-solving mindset, coachability, and how they’ll collaborate with both humans and AI on your team

• Provides nudges or flags potential issues in real time
• Offers smart feedback without stepping on the interviewer’s role
• Tracks how the candidate incorporates guidance into their solution
• Evaluates the candidate’s ability to think critically and respond to feedback

Enhanced Skill Reports

Get more than a score—get a story. Every interaction with AI Assistant is captured and analyzed to provide hiring teams with a rich, role-relevant view of each candidate’s capabilities.

• Captures how candidates prompt, apply, and respond to AI guidance
• Highlights critical thinking and adaptability in real time
• Flags whether AI feedback improves their solution—or gets ignored
• Surfaces real-world readiness across skill, decision-making, and AI fluency

Go Beyond the Code: Assess Real-World Skill and AI Readiness

Evaluate Core Technical Proficiency

• Code accuracy, logic, and completeness
• Debugging effectiveness and test coverage
• Application of best practices

Measure Collaboration & Problem-Solving

• Ability to interpret feedback from the AI
• Responsiveness to suggestions and edge cases
• Willingness to iterate and improve

Assess AI Fluency

• How effectively the candidate leverages AI Assistant
• Quality of prompts and contextual understanding
• Use of AI to enhance—not shortcut—solutions

Validate Work Readiness

• Real-world applicability of their final solution
• Communication clarity during live interviews
• Potential fit for collaborative, AI-augmented teams