AI-Powered Assessment

Hire developerswho think

Traditional interviews predict the right hire only 57% of the time — barely better than a coin flip. Provelo gives candidates a real codebase, an AI assistant, and realistic tasks. Then we measure their engineering judgment across six dimensions. Not memorized algorithms. Not whiteboard tricks. Real engineering skill.

$240Kavg. bad hire cost
84%of developers now use AI
1,600xROI per assessment
$2.4B

AI Assessment Market

57%

Interview Accuracy (Coin Flip)

$240K

Cost of One Bad Hire

84%

Professionals Now Use AI

Section 01The Problem

The Cost of Getting It Wrong

Traditional interviews predict the right hire only 57% of the time — barely better than a coin flip. The cost of that coin flip is staggering.

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

$80K–$240KCost per bad hire

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

Source: SHRM, US Dept. of Labor

Up to 5Bad hires per company per year

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

Source: CareerBuilder

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.

Source: SHRM, HBR

Section 02AI Disruption
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

AI Changed Everything

When anyone can generate working code with AI, testing “can you write a sort function” tells you nothing. The gap between using AI and using AI well is massive.

Key Insight

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

Section 03The Secret

The Secret Sauce

Our AI assistant is intentionally rigged. It injects subtle bugs, security vulnerabilities, and anti-patterns. The best engineers catch them.

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

Section 04Process

How It Works

Five steps from job description to detailed report

01

Paste a Job Description

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

02

AI Generates a Scenario

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

03

Send Unique Links

Each candidate gets a tracked, expiring assessment URL.

04

Candidate Codes in IDE

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

05

Get Detailed Reports

6-dimension scoring with radar chart and hiring recommendation.

Section 05Comparison

Why Not LeetCode?

Traditional coding tests measure the wrong things

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
Section 06Applications

Built For You

Whether you're hiring, screening, or benchmarking — Provelo fits your workflow

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
Section 07Output

See a 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
Section 08Return on Investment

The Math Is Simple

Assessment Cost

$50-150

per candidate

Bad Hire Saved

$240K

average total cost

Your ROI

1,600x

return on investment

Companies using skills-focused hiring reduce time-to-hire by 86% with 93% predictive confidence.

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