One AI-native stack. Three product lines.
A real IDE, a real AI agent, a multi-input scoring engine, and the agents that hold it all together — shared across Practice, Campus, and Hiring.
Two Pillars. Unlimited Possibilities.
One unified AI-native platform, two ways to understand AI skill: discover your AI working style & signature from the real sessions you already run with Aura, or run structured evaluations in the AI-native IDE with Assessments.
Dedicated VM Runtime
Every assessment session across Practice, Campus, and Hiring runs on a real, isolated virtual machine — not a toy browser environment.
Real Terminal Access
Full shell access with npm, pip, git, and build tools. Candidates work the way they work in production.
Full File System
Create, edit, delete files and folders. Import libraries. Build multi-file projects — just like a real dev environment.
Isolated & Secure
Each session gets its own sandboxed VM. No shared state, no cross-contamination. Auto-cleanup after completion.
Why Real VMs Matter
Toy browser environments can't test real-world workflows. Ours can. Every assessment, from free Practice sessions to high-stakes Hiring interviews, runs on the same infrastructure your team uses to ship code.
Multi-file projects
Create React apps, backend APIs, full-stack builds
Package management
Install dependencies, run build scripts, test pipelines
Real debugging
Console logs, error traces, breakpoints — the full stack
Production parity
Same tools, same workflows, same constraints as shipping code
A real IDE. With a real AI agent. On a real VM.
VibeLevel candidates build the way they actually work — Monaco editor, integrated terminal, file tree, and a Copilot-class AI assistant — not in a stripped-down text box.
Same engine. Every role.
Engineers, PMs, sales, support, analysts, ops — every role today works alongside AI. VibeLevel measures collaboration skill across all of them, on the same platform.
Build software with AI
Python · TypeScript · JavaScript · system design. Real IDE, real terminal, AI agent of choice.
Build artifacts with AI
PRDs · sales emails · CRM responses · support replies · strategy docs. Same scoring engine, role-tuned rubrics.
Multi-input scoring, four-level ladder.
Every session feeds a multi-dimensional engine that produces a single, comparable skill level — from Novice to Expert.
Every assessment produces a comparable, level-tagged result — so candidates can showcase a verified badge and hiring teams can rank like-for-like.
Several Agents powering One platform.
Building, assessing, and scoring are all driven by purpose-built agents. They share the same IDE, the same scoring engine, and the same proctoring layer.
Coding Agent
Pairs with the candidate inside the IDE. Edits files, runs commands, helps debug — Copilot-class.
Non-Coding Agent
Same collaboration loop for PMs, sales, support, ops — drafts artifacts and steers iterations.
Claude Code Agent
A first-class third coding agent option — candidates can pick the agent they actually use.
Assessment Builder Agent
Chat-driven assessment creation: gather → design → validate in a real sandbox → publish.
Scoring Agent
Reviews the full session: code, prompts, behavior, artifacts. Outputs multi-dimensional scores + Human Contribution.
Built-in detection for external AI tool use.
Every session is observed by a multi-signal detection layer that flags external AI tool use — ChatGPT, Claude, browser side-panels, automation, and more. Each session ships with a confidence-graded summary so reviewers see the strength of evidence at a glance.
External Assistance Detected — Low Confidence (14 / 100) · 1 signal
Indicators that the candidate may have used external AI tools instead of relying solely on Claude Code, VibeLevel's built-in AI assistant. Higher confidence means stronger evidence.
External Assistance Detected — Medium Confidence (38 / 100) · 2 signals
Indicators that the candidate may have used external AI tools instead of relying solely on Claude Code, VibeLevel's built-in AI assistant. Higher confidence means stronger evidence.
External Assistance Detected — High Confidence (64 / 100) · 3 signals
Indicators that the candidate may have used external AI tools instead of relying solely on Claude Code, VibeLevel's built-in AI assistant. Higher confidence means stronger evidence.
We deliberately don't publish specific detection methods to keep the system honest.
Make sure the right person took the assessment.
Two complementary checks: a live photo capture during the session, and an optional LinkedIn-verified profile. Together they make impersonation expensive and accountability simple.
Live photo capture during the assessment
A baseline photo is captured at the start of the session and verified throughout. Reviewers see the photos and a verified / rejected decision inline with the score report.
Verified profile on every submission
Candidates sign in with LinkedIn; their verified name, photo, and headline are attached to the session. Hiring teams get a real human behind every score, not just an email address.
2–3× more capability at 50% less cost. Two pillars on one AI-native platform — discover your AI Style from your AI Sessions with Aura, run structured evaluations with Assessments.
| Feature | Others | VibeLevel.ai |
|---|---|---|
| AI Coding Agent (Copilot-class) | ||
| AI Non-Coding Assessments (Claude-class) | ||
| Full IDE (editor, terminal, file tree) | Basic | |
| AI-Native Assessment Scoring | ||
| Human Contribution Detection | ||
| Anti-Cheating & Proctoring Signals | Basic | |
| AI Resume Scoring | ||
| End-to-End Hiring Funnel | ||
| Agentic Auto-Filter & Screening | ||
| Application Forms & Resume Collection | Add-on | |
| Multi-Dimensional Scoring | ||
| Custom AI Agent Persona | ||
| Candidate Comparison & Ranking | Limited | |
| Campus Vibeathons & Talent Pipeline | ||
| Algorithm / LeetCode-style Tests | Supported + AI | |
| Pricing | $300–$500/seat/yr | Pay-as-you-go |
| Free Tier | Limited | Generous |
Discover your AI Style. Hire the best. Assess your students.
Pick your path. Two pillars on one AI-native platform — discover your AI Style from your AI Sessions with Aura, run structured evaluations with Assessments.