Get Up and Running in Minutes
Learn how to create your first AI-native technical assessment and start evaluating candidates effectively.
Overview
InterviewLM is an AI-native technical assessment platform that evaluates how candidates work with modern AI coding tools. Unlike traditional coding tests that ban AI, we measure real-world skills: prompt engineering, AI collaboration, critical evaluation, and problem-solving ability.
2-Minute Setup
From sign-up to sending your first assessment takes less than 2 minutes. No complex configuration required.
Create Account
Build Assessment
Invite Candidates
Review Results
Create Your Account
Sign up for a free account to get started. You'll receive 3 free credits to try the platform.
Sign up with email or SSO
Google and GitHub authentication supported
Create your organization
Set up your company profile and invite team members
No credit card required
Start with 3 free credits to evaluate the platform
Create Your First Assessment
Configure an assessment tailored to your hiring needs. Choose from templates or create custom challenges.
Assessment Configuration Options
Role Selection
- • Backend Engineer
- • Frontend Engineer
- • Full-Stack Developer
- • ML/AI Engineer
- • DevOps/Platform
Seniority Levels
- • Junior (0-2 years)
- • Mid (2-5 years)
- • Senior (5-8 years)
- • Staff (8-12 years)
- • Principal (12+ years)
Tech Stack
- • TypeScript / JavaScript
- • Python
- • Go
- • React, Node.js, FastAPI
Duration
- • 30 minutes (Quick screen)
- • 60 minutes (Standard)
- • 90 minutes (Deep dive)
- • Custom duration
AI-Generated Questions
Our system generates unique, role-appropriate coding challenges. You can also add custom problem seeds for company-specific scenarios.
Invite Candidates
Send assessment invitations to candidates. Each link is unique, secure, and expires after use.
Email Invitations
Enter candidate email addresses and we'll send them a branded invitation with instructions.
Copy Link
Generate assessment links to share through your preferred communication channel or ATS.
What Candidates Experience
Receive invitation with assessment details and time limit
Click link to enter secure sandbox environment with VS Code editor
Work on coding challenge with AI assistant
Run tests, submit solution, and receive immediate confirmation
Review Results & Make Decisions
Access detailed evaluation reports with AI collaboration scores, code quality metrics, and session replays.
Comprehensive Scorecards
- Overall score and recommendation
- AI collaboration metrics (4 dimensions)
- Code quality analysis
- Test pass rates
Session Replay
- Watch how candidates solved problems
- Review AI prompts and responses
- See code evolution over time
- Identify debugging approach
Learn more about scoring
Our unique 4-dimension AI collaboration scoring provides deeper insights than traditional pass/fail metrics.
Understanding AI Scores →Programmatic access
Drive InterviewLM from your own tools. Two integration paths are available today, with a standalone REST API on the roadmap.
Available now
Connect any MCP-capable AI agent — Claude Code, Cursor, Codex, Copilot, and more — to draft pipelines, invite candidates, and read evaluations through permissioned tools. OAuth 2.1, no API keys.
Native Greenhouse and Lever integrations automatically import candidates from your ATS into a pipeline when they reach a trigger stage.
A standalone REST API is coming. Contact us at [email protected] for early access.