Awaiting Signal
00:00:00

Evaluation Protocol

LaunchCloud Labs // R&D Division

Live Environment. Do not refresh this page. Post "Module Complete" in Discord upon finishing each task.

This assessment is designed to measure your ability to synthesize information and deploy working code rapidly. You are encouraged to use AI tools to assist your workflow. We prioritize the final output over the method used.

Candidate Identification

Module 1: Logic Architecture

20 Minutes

Context: We are architecting a system called "Project: MERCHANT_RISK". Unlike traditional banks that assume customer liability, our model shifts risk decisioning to the Merchant. This allows high-margin businesses to approve customers that banks would otherwise reject.

Directives: Generate a formal Logic Brief (PDF or Doc) that addresses the following:

  1. The Economic Case: Articulate why a business owner (e.g., a high-end mechanic or dentist) would voluntarily accept payment risk. Focus on profit margin vs. default rates.
  2. The Control Dashboard: Define the three critical parameters a merchant must have to manage this risk (e.g., Credit Floor, Deposit Percentage, Interest Cap). Explain how each protects the merchant.
  3. The Technical Abstract: Draft a three-sentence technical summary of this "Risk Shift" model suitable for a backend engineer.

Module 2: Front-End Prototype

40 Minutes

Objective: Use AI to generate and refine a functional HTML/JS web component. This must be a working file.

Directives: Build a "Dynamic Payment Slider" with the following specifications:

  • Visual Design: Implement a minimalist, dark-mode aesthetic. Use smooth transitions for all interactive elements.
  • Input Mechanism: Create a responsive range slider allowing values between $100 and $1,000 (Step: $50).
  • Real-Time Calculation: As the user drags the slider, the interface must instantly calculate and display the "Weekly Payment Amount".
  • The Algorithm: (Principal Amount + 10% Service Fee) / 4 Weeks.
  • Validation: Ensure currency formatting (e.g., $125.00) is applied dynamically.

Provide a link to a screen recording showing the code running and the slider functioning.

Module 3: Data Parsing

30 Minutes

Objective: Demonstrate the ability to write scripts that sanitize and structure unstructured data.

Directives: Write a script (Python or JavaScript) that ingests a raw string and returns a clean, deduplicated list of emails.

Input String:
"Client: John (john@gmail.com) - PAID. Client: Sarah [sarah.123@yahoo.com] -- LATE. Contact: admin@business.net // Status: Pending."

Requirements:

  • Use Regular Expressions (Regex) to identify valid email patterns.
  • Strip all surrounding brackets, parenthesis, or whitespace.
  • Output the final list to the console or terminal.