The Cost of Getting It Wrong

Traditional interviews predict the right hire only 57% of the time — barely better than a coin flip.

$2.4B

AI Assessment Market

57%

Interview Accuracy (Coin Flip)

$240K

Cost of One Bad Hire

84%

Professionals Now Use AI

$80K–$240KCost per bad hire

Including recruiting costs, wasted salary, manager time, and 44 days of lost output to backfill.

Up to 5Bad hires per company per year

That's $400K–$1.2M in annual waste from developer mis-hires alone.

42 daysAverage time to fill a dev role

New hires then need 8–12 months to reach full productivity. Leaders lose 17% of their week managing underperformers.

AI Changed Everything

When anyone can generate code with AI, testing “can you write a sort function” tells you nothing.

84%
of professionals use or plan to use AI in their work
41%
of work output in 2025 involves AI assistance
48%
of AI-generated outputs contain errors or vulnerabilities
57%
traditional interview accuracy — barely better than a coin flip
Key Insight

48% of AI-generated code contains security vulnerabilities. The best engineers critically evaluate AI output — the rest blindly accept it.

The Secret Sauce

Our AI coding assistant is intentionally rigged. It periodically injects subtle bugs, security vulnerabilities, and anti-patterns into its suggestions. The best engineers catch and fix these — the rest blindly accept them.

This is what separates developers who use AI from those who are used by AI.

How It Works

1
Paste a Job Description

Drop in any JD or use a template. Pick a difficulty level.

2
AI Generates a Scenario

A realistic coding project with tasks, bugs, and hidden challenges.

3
Send Unique Links

Each candidate gets a tracked, expiring assessment URL.

4
Candidate Codes in IDE

Full browser IDE with AI assistant, terminal, and file tree.

5
Get Detailed Reports

6-dimension scoring with radar chart and hiring recommendation.

Why Not LeetCode?

Traditional
Provelo AI
Environment
Blank editor
Real IDE + AI assistant
Tests for
Algorithm recall
Engineering judgment
AI usage
Banned or ignored
Core part of assessment
Codebase
None
Realistic project
Time to create
Hours of prep
< 2 minutes
Scoring
Pass / fail
6-dimension report
Predictive accuracy
57% (coin flip)
93% skills-based
Measures AI skills
No
Yes — the core focus

Use Cases

One platform, multiple ways to assess talent

Tech Lead

Stop wasting your team's time on bad candidates

Your senior engineers spend hours in interviews only to reject 80% of candidates in the first 15 minutes. Provelo filters before the human interview — so your team only meets candidates who can actually ship.

  • Candidates face a real codebase with an AI assistant that introduces subtle bugs
  • Only engineers who catch the traps make it to your team's calendar
  • 6-dimension report tells you exactly where each candidate is strong or weak
  • Cut interview load by 70% while improving hire quality

Sample Report

Every assessment generates a detailed, actionable evaluation

Sample Report

Ken Hung

Senior Full-Stack Engineer

78/100
HIRE

Dimension Scores

Code Quality82
Bug Detection71
Prompt Engineering85
Architecture76
Security Awareness68
Testing & QA80
Strengths
  • Strong prompt engineering — rewrote vague AI suggestions into precise, contextual queries
  • Excellent code quality — consistent naming, proper error boundaries, clean abstractions
  • Solid testing instinct — wrote edge-case tests without being prompted
Areas to Improve
  • Missed 2 of 6 AI-generated edge cases — accepted an unescaped SQL interpolation and an insecure JWT config
  • Architecture could improve — created tight coupling between auth and billing modules
Critical Thinking Analysis
6
Challenges
4
Detected
3
Fixed
2
Missed

The Math Is Simple

Cost

$50–150

per candidate

Saved

$240K

bad hire cost

ROI

1,600x

return

Skills-focused hiring: 86% faster, 93% confidence

Ready to find your next great engineer?

Create your first assessment in under 2 minutes.

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Free tier available by invitation

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