Modl AI Game Testing Tool

What is Modl AI: Overview

Modl AI is an AI-driven game testing and quality assurance platform designed for game developers, publishers, and QA teams. The platform uses AI agents that interact with games similarly to human players by analyzing visual elements, UI components, and gameplay states. Unlike traditional automation tools, Modl AI does not require SDKs, plugins, or direct code integrations, allowing teams to begin testing with minimal setup.

Users can upload game builds, define testing objectives in plain language, and let AI agents execute tasks automatically. The platform analyzes gameplay sessions and generates detailed bug reports that include screenshots, videos, logs, and severity assessments. Modl AI supports automated testing for mobile and desktop games while integrating with CI pipelines for continuous testing workflows. The system is designed to help teams improve test coverage, detect issues earlier in development, and streamline QA operations without extensive scripting requirements.

Key Features of Modl AI

• AI-powered game testing agents that simulate player interactions and gameplay scenarios.
• No SDKs, plugins, or code integrations required for deployment.
• Plain-language test instructions instead of scripted automation.
• Automatic bug detection with screenshots, videos, logs, and severity scoring.
• CI pipeline integration for continuous automated testing workflows.

How to Use Modl AI: Step-by-Step

Here are the simple steps to start using the Modl.ai platform.

Step 1: Create an Account – Visit the Modl AI website and request access or book a demo with the team.

Step 2: Upload Your Game Build – Upload your latest game build directly to the platform. No SDK installation or code modification is required.

Step 3: Define Testing Tasks – Enter testing objectives using natural language instructions such as:

• Complete the tutorial
• Open inventory
• Reach a specific level
• Test menu navigation

Step 4: Launch Automated Testing – Start test runs manually or trigger them automatically through your CI/CD pipeline.

Step 5: Monitor Test Sessions – Review gameplay recordings, logs, and performance metrics collected during testing.

Step 6: Analyze Bug Reports – Examine automatically generated reports containing screenshots, videos, issue descriptions, and severity ratings.

Step 7: Improve and Retest – Fix identified issues, upload updated builds, and rerun tests to validate improvements.

Use Cases of Modl AI

• Automated quality assurance testing for mobile and desktop games.
• Detecting visual glitches, missing assets, and UI issues.
• Continuous testing within game development pipelines.
• Simulating player behavior for gameplay validation.
• Performance monitoring and bug tracking during development.

Target Audience of Modl AI

• Game development studios
• QA engineers and testers
• Game publishers
• Indie game developers
• Mobile game companies
• DevOps and CI/CD teams
• Game production managers

Modl AI Pricing

Pricing: Not publicly disclosed. Users must contact the company or request a demo for pricing information.