Ready to transform your QA process with AI-powered testing? This quick start guide will walk you through everything you need to know to get Orome AI up and running in your development workflow, from initial contact to maximizing your testing results.

Why Start with Orome AI?

Before diving into the setup process, it's important to understand what makes Orome AI different from traditional testing approaches. Our vision-based testing works through visual analysis, meaning no code integration, no API access, and no complex configuration required. The AI simply observes and interacts with your game the way a human tester would.

Key Benefits: 90% cost reduction, 10x faster testing, 24/7 operation, and universal compatibility across all platforms and game types.

Step-by-Step Setup Guide

1

Initial Contact and Consultation

Start by reaching out to our team through our website or email. We'll schedule a brief consultation to understand your specific testing needs, game type, and current QA challenges.

Pro tip: Come prepared with information about your game type, target platforms, current testing process, and any specific pain points you're experiencing.
2

Free Pilot Program

We'll set up a free pilot program tailored to your specific game. This typically involves testing a specific feature or area of your game to demonstrate the AI's capabilities and provide immediate value.

Pro tip: Choose a feature that's currently causing QA headaches or has known issues. This will give you the best demonstration of the AI's problem-solving capabilities.
3

Game Access and Configuration

Provide access to your game build or testing environment. This can be through a test build, staging environment, or even a production version. The AI works through visual analysis, so no special integration is needed.

Pro tip: Ensure your test environment is stable and representative of your actual game. The AI will learn from whatever environment you provide.
4

AI Learning and Adaptation

The AI will spend time learning your game's interface, mechanics, and expected behaviors. This learning phase typically takes 2-4 hours and happens automatically without any intervention from your team.

Pro tip: The more comprehensive your test environment, the better the AI will understand your game. Include different game states, UI screens, and gameplay scenarios if possible.
5

Initial Testing and Results

Once the learning phase is complete, the AI will begin comprehensive testing of your game. You'll receive detailed reports with screenshots, bug descriptions, and reproduction steps within hours.

Pro tip: Review the initial reports carefully and provide feedback. This helps the AI understand your specific quality standards and testing priorities.
6

Integration and Optimization

Based on the pilot results, we'll work with you to integrate Orome AI into your regular development workflow. This includes setting up continuous testing, defining testing priorities, and optimizing the AI's performance for your specific needs.

Pro tip: Start with high-impact, high-risk areas where AI testing can provide immediate value, then gradually expand to other areas of your game.

Maximizing Your Results

Once Orome AI is integrated into your workflow, there are several strategies to maximize your testing results and ROI:

Continuous Testing

Set up the AI to run tests continuously, not just during specific testing phases. This ensures that bugs are caught immediately when they're introduced, making them easier and cheaper to fix.

Cross-Platform Testing

Leverage the AI's ability to test across multiple platforms simultaneously. This is especially valuable for games that need to work consistently across different devices and operating systems.

Regression Testing

Use the AI for comprehensive regression testing after each build or update. This ensures that new changes don't break existing functionality.

Performance Monitoring

Configure the AI to monitor performance metrics and visual quality over time, helping you catch performance regressions before they impact users.

Common Challenges and Solutions

Challenge: "The AI is finding too many minor issues."
Solution: Work with our team to fine-tune the AI's sensitivity and focus on the issues that matter most to your game's quality.

Challenge: "We're not sure how to interpret the AI's reports."
Solution: Our team provides training and support to help your team understand and act on the AI's findings effectively.

Challenge: "The AI seems to be testing the wrong things."
Solution: Provide feedback on the AI's testing approach, and it will adapt to focus on the areas that matter most to your game.

Measuring Success

Track these key metrics to measure the success of your AI testing implementation:

  • Bug Detection Rate: Number of bugs found per testing cycle
  • Time to Detection: How quickly bugs are found after introduction
  • Cost per Bug: Total testing cost divided by bugs found
  • Coverage: Percentage of game functionality tested
  • False Positive Rate: Percentage of reported issues that aren't actual bugs
Ready to get started? Contact Orome AI today to schedule your free consultation and pilot program. Most studios see results within the first week of implementation.

Next Steps

Once you've successfully integrated Orome AI into your workflow, consider these advanced strategies:

  • Implement automated testing triggers based on code commits
  • Set up custom testing scenarios for specific game features
  • Integrate AI testing results into your bug tracking system
  • Use AI testing data to inform your development priorities
  • Expand testing to additional platforms and configurations

Remember, AI testing is a journey, not a destination. The more you use it, the better it becomes at understanding your specific needs and providing value to your development process.