Ela MCB

What You'll Learn:

• Prompt Engineering: Real prompts for 10x faster development
• Workflow Integration: Daily development routines with AI
• Advanced Techniques: Chain-of-thought and role-based prompting
• Real Examples: Every technique demonstrated in this portfolio

Real Capabilities:

• Tests 100+ prompt/response pairs across LLM providers
• Measures accuracy, toxicity, and bias automatically
• Detects hallucinations and factual errors
• Prevents prompt injection attacks
• CI/CD pipeline integration for continuous testing

Recent Results:

Input:

AI Output:

test('login with valid credentials', async ({ page }) => {
  await page.goto('/login');
  await page.fill('[data-testid="email"]', 'user@example.com');
  await page.fill('[data-testid="password"]', 'password123');
  await page.click('[data-testid="login-button"]');
  await expect(page).toHaveURL('/dashboard');
});

Input:

AI Output:

• Check if element selector is correct
• Verify page load timing
• Add explicit wait conditions
• Consider dynamic content loading

Key Contributions:

• Hallucination Detection: Consistency-based framework for identifying factual errors
• Bias Analysis: Multi-dimensional approach to measuring unfair responses
• Safety Validation: Comprehensive framework for harmful content detection
• Testing Pipeline: Integrated solution for production LLM validation

Key Innovations:

• Context-Aware Testing: Real-time application state integration
• Dynamic Test Generation: AI-driven test creation based on live data
• Self-Healing Tests: Automatic adaptation to application changes
• Intelligent Debugging: Complete failure context analysis