modl:test

️ Tool Name: 🖼
modl.ai

Categories: 🔖

• Testing and Quality Assurance
• Game Asset Generation
• Automation and Smart Agents
• Prediction and Applied Machine Learning
• Data and Analytics
• Programming and Development
• Data Warehousing and Modeling

️ What does this tool offer? ✏
modl.ai is an AI-powered platform designed to test games and optimize the development process. It uses AI agents capable of playing and testing games to detect bugs and issues before the games reach players. The platform relies on multi-modal AI agents that simulate player behavior, analyze the game environment, and detect programming and visual bugs as well as performance issues.

modl.ai functions as an external testing solution that does not require SDK integration or modification of the game code; quality assurance teams can upload a game build to the platform, then specify the tasks they want the AI to test—such as completing a specific stage, reaching a certain level, or performing in-game actions—so that the agents can run the tests independently and generate reports with the results.

The platform offers capabilities for detecting bugs such as crashes, visual issues, missing assets, gameplay logic errors, and softlocks, in addition to performance analysis and the generation of reports containing problem descriptions, visual data, and severity levels.

modl.ai offers a suite of solutions that includes game testing using AI agents, player behavior simulation, video analysis, and continuous performance testing such as smoke testing and soak testing.

What does it actually offer based on user experience? ⭐

• Automated game testing using AI agents.
• Detecting bugs before the game reaches players.
• Simulating player behavior within the game environment.
• Testing specific tasks using natural language commands.
• Running repetitive tests on different versions of the game.
• Detect visual bugs and performance issues.
• Generate detailed test reports containing results and bugs.
• Analyze gameplay videos to detect visual issues.
• Test games without having to integrate an SDK or modify the code.
• Support QA teams in expanding test coverage and reducing repetitive manual testing.

Does it include automation? 🤖
Yes, modl.ai relies primarily on automation through AI agents that perform game tests independently. After uploading a version of the game and specifying the required tasks, the agents play the game, analyze the results, record errors, and generate automated reports.

Tests can also be run directly from the dashboard or integrated into CI pipelines, where the agents collect videos, logs, and performance data during execution.

Pricing Model: 💰
modl.ai uses a custom pricing model (Contact for Pricing); the platform does not display fixed prices, and you must contact the company to obtain details on the plan that best suits your game development team’s needs.

🆓 Free Plan Details:

Paid plan details: 💳

How to access the tool: 🧭

Demo link or official website: 🔗
https://modl.ai/insights