Anyone can vibe code.
But can they actually engineer your product?
See exactly how every candidate works with AI — before you make a call.
Candidate
M. Reyes
58 MIN · 47 PROMPTS · 3 LLMs
PromptIQ Score
Strong
Scaffolding quality
Debugging skill
Hallucination recovery
Optimisation thinking
Testing approach
Agent verdict
"Caught 2 hallucinated API calls and self-corrected without prompting. Iterative, specific prompts — not vague asks. Strong instinct for where AI breaks down."
The Problem
Hiring for AI fluency is a problem nobody has solved yet.
Every company wants people who are great at working with AI. Nobody has figured out how to actually find them.
The incumbents bolted AI on.
Same 10-year-old assessments. AI copilot added on top. Pass/fail score. Nothing changed.
The challenger tied it to your repo.
Built around AI. But locked to one codebase, one tool, one company.
No standard exists to measure it.
There's no benchmark, no certification, no rubric. Every company is guessing. The best AI collaborators and the worst ones look identical until someone actually watches them work.
7x
Demand growth
Jobs requiring AI fluency, 2024 to 2026.
48%
Assessment volume
Rise in technical assessments globally.
42%
AI in hiring
Of hiring teams now use AI inside assessments.
How It Works
From job description to defensible verdict.
Three steps. No question banks, no rubric writing, no transcript reviewing. The whole loop runs in under 90 minutes per candidate.
- STEP 01~2 min
Paste a JD
We parse the role and generate a unique assessment. Nothing leaks, nothing repeats.
- STEP 0260–90 min
Candidate works with AI
They pick Claude, GPT, or Gemini. We watch every prompt, edit, and recovery — not the keystrokes, the reasoning.
- STEP 03Instant
PromptIQ + verdict
A 0–100 score, five-dimension breakdown, agent-panel recommendation. Send it to the hiring manager. They'll get it.
PromptIQ Score
One score. Five honest signals.
What we measure, in plain language. No proprietary black box — every dimension explainable to a hiring manager in one sentence.
Scaffolding quality
Do they break the problem down before prompting — or send vague asks and hope for the best?
Debugging skill
When AI gets it wrong, do they isolate the cause or paste the same prompt again?
Hallucination recovery
Do they catch fabricated APIs, missing imports, false confidence?
Optimisation thinking
Do they push past the first working answer toward better ones?
Testing approach
Are tests deliberate and meaningful — or copy-pasted to satisfy coverage?
What You Get
Not a gut feeling. A full picture.
Every assessment ends with a complete recruiter report. Here's what's inside.
The PromptIQ Score
A single 0–100 score built from five dimensions of AI collaboration. One number your hiring manager will actually understand. No black box — every point is explained.
Full Session Replay
Every prompt sent, every edit made, every AI suggestion accepted or rejected. Watch exactly how they worked — not just what they shipped.
Agent Verdict
An AI panel reviews the full session against your job description and writes a plain-language hiring recommendation. Hire, pass, or borderline — with reasoning behind every call.
Shareable Candidate Report
A clean, formatted report you can forward to your hiring manager, your team, or keep on file. No login required to read it.
Compare
The only platform that measures how candidates work with AI. Not just what they produce.
Other platforms added AI to their assessments. Promora was built around it — any tool, any candidate, zero setup.
Portable AI-fluency score
None
None
None- coderpadNone
None
Who designs the assessment
- You
- You
- You
- coderpadAuthor-your-own
- You
AI tools for candidates
- Built-in only
- Built-in only
- Interviewer-controlled
- coderpadCoderPad AI assistant
- Claude Code only
Setup required
- High
- High
- Schedule + interviewer
- coderpadAuthor each pad
- Repo + rubric
What you evaluate
- Code correctness
- Code correctness
- Live problem solving
- coderpadLive problem solving
- How engineers build
Who it's built for
- Engineering teams
- Engineering teams
- Engineering teams
- coderpadEngineering teams
- Engineering teams
Interviewer time required
- High
- Medium
- High
- coderpadHigh
- Zero
Pricing
Simple plans that scale with your hiring.
Tier 1 — Basic
5 assessments / mo
For teams starting to hire with AI.
- AI-generated assessment from a job URL or description
- Task customisation (bug types, difficulty, time limit)
- 1 assessment variant
- In-browser IDE (editor + terminal + live preview)
- AI chat assistant inside the IDE — OpenAI, Claude, Gemini, Groq
- Session replay (webcam + screen)
- Code attribution analysis (AI-written vs human-written)
- Overall PromptIQ score + behavior analysis
- Post-session integrity violation detection
Tier 2 — Premium
15 assessments / mo
For teams hiring at scale.
Everything in Basic, plus:
- Up to 20 assessment variants per role
- Live session monitoring dashboard (watch candidates in real-time)
- Real-time integrity violation detection (not post-session)
- Gemini video frame analysis
- Full 7-dimension scoring breakdown
- Bug discovery analysis (found / fixed / missed)
- Fluency & testing behaviour analysis
- Per-bug narrative (how it was found, how it was fixed)
- Priority support
Tier 3 — Enterprise
Unlimited assessments
For orgs with high-volume or custom needs.
Everything in Premium, plus:
- Unlimited assessment variants
- Custom assessment templates built for your stack
- Google Docs / Sheets / Figma integration inside the candidate environment
- SSO & granular team/role management
- Dedicated account manager
- Custom integrations & SLAs
Need more assessments? $39 per additional assessment.
Includes AI evaluation budget per assessment.
— Frequently asked
The uncomfortable ones.
The questions hiring leaders actually ask in the second meeting.
07 ITEMS
Still curious?
Talk to us directly →The interview that matches how work actually happens.
Stop evaluating for a world that doesn't exist anymore.