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How they thinkHow they work with AIHow they deliver

Not whether they memorized an algorithm.

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AI Evaluating...
RS
Rahul Sharma
Senior Engineer · Full-Stack
> Challenge
Build a rate-limited API with exponential backoff using AI tooling. 
CursorClaudeCopilot
14m 04s
> add rate limiting with exponential backoff
Cursor generating...
async function fetchWithRetry(url) {
  for (let i = 0; i < MAX_RETRIES; i++) {
    const res = await fetch(url);
    if (res.status !== 429) return res;
    await sleep(BASE_DELAY * 2 ** i);
  }
}
> add error logging and tests
PASS · 3 tests passed
AI Evaluation
Problem Solving87%
AI Prompting92%
Execution Speed94%
Iteration Quality78%
88
88 / 100Strong Hire
Evaluated in 4 min

“Strong engineer who solves real-world problems efficiently, uses AI effectively, and delivers production-ready code.”

The Problem

Your Shortlists Get Rejected.
You Never Know Why.

Your process tests memorization — not real performance. Every shortlist is a gamble.

You Can't Defend Your Shortlist

Engineering rejects your candidates — and you have no way to push back. No data. Only gut feel.

3 Rounds to Learn One Thing

Phone screen, take-home, panel — weeks of scheduling, only to learn they can't deliver. By then, top candidates have already accepted another offer.

Gut Feel Hurts Your Credibility

Without real data, every rejection chips away at your credibility with the hiring team.

The Solution

What If You Could Watch Them Work —
Before You Hire Them?

Real problems. Real AI tools. You see how they think, how they collaborate, and how they deliver — everything a resume can't show you.

The Old Way

Interviews That Filter Out Your Best Hires

✕

"Reverse this binary tree in 20 minutes"

✕

Rejects candidates who would’ve performed on the job

✕

Passes candidates who won’t

The PromptLens Way

Real Work. Real Proof.

✓

"Debug this API and ship a fix using AI"

✓

Candidates work with the same AI tools your team uses every day

✓

Shows how candidates think, collaborate, and deliver

How It Works

From Assignment to Decision —
in Three Steps

No setup. No calibration meetings. Just assign, observe, and decide.

1

You Set the Challenge

Share the role. We build a real-world task tailored to your domain — no prep needed.

2

Candidate Works with AI

They tackle the challenge using AI tools. How they break down problems, communicate, and iterate shows how they actually work.

3

You Get a Scorecard

One clear report. Scores your hiring manager can act on. Forward it — no debrief needed.

Problem Solving
AI Prompting
Execution Speed
Sample Scorecard

Not Your Gut Feel —
Actual Proof

One report per candidate. Every dimension scored. Key moments highlighted. This is what you forward to your hiring manager.

PromptLens — Candidate Report
Candidate
Rahul Sharma — Senior Engineer
Challenge: Rate Limiter Debug + Backoff · 14 min session
88
Strong Hire
Top 15% of candidates
PASS·3 tests passed
AI Evaluation
Problem Solving87%

Identified the root cause before jumping to fixes. Broke the problem into clear steps and solved each systematically.

AI Prompting92%

Used clear, context-rich prompts. Avoided vague instructions and guided the AI step-by-step.

Execution Speed94%

Delivered a working solution in 14 minutes. Moved quickly from diagnosis to implementation and testing.

Iteration Quality78%

Adjusted approach after the first attempt failed. Improved prompts based on AI output instead of repeating the same attempt.

Key Moments
2:14Asked AI to explain existing code before making changes
5:41Caught incorrect AI suggestion and corrected course
8:02Added error handling the AI missed — shows real-world judgment
11:30Wrote targeted test covering the specific failure mode
Real Example

Same Challenge. Two Candidates.
Completely Different Signal.

See the difference between someone who can work with AI — and someone who can't.

> Challenge: Debug a rate-limited API endpoint and add exponential backoff retry logic.
Strong Candidate
87/100
Prompt 1: Show me the current retry logic and rate-limit headers this API returns.
Starts by understanding the system before changing anything.
Prompt 2: Refactor the retry into a separate utility with configurable backoff. Add jitter to prevent thundering herd.
Thinks about edge cases and production behavior.
Prompt 3: Write a test that simulates 429 responses and asserts backoff timing within 10% tolerance.
Validates the fix — doesn't just trust the AI output.
Weak Candidate
34/100
Prompt 1: Fix the rate limiting bug.
Vague. No context for the AI to work with.
Prompt 2: That didn't work. Try again.
No debugging, no iteration — just re-rolling.
Prompt 3: Just make the tests pass.
Treats tests as a checkbox, not a quality signal.
Why PromptLens

Stop Guessing.
Start Placing with Confidence.

Shortlists Your Hiring Team Trusts

Objective scores you can stand behind. Your shortlist becomes a recommendation engineering actually trusts.

Stop Losing Candidates to Your Own Process

One challenge gives you what you need to make the call — without three rounds and two weeks of scheduling. Get to the offer before your candidate takes someone else's.

Win Top Engineers

The best engineers have 2–3 offers within two weeks. One challenge gives you the signal that five rounds can’t — so you move before your competitors do.

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