modl.ai
PaidAI bots that play your game like real players to automate QA, catch crashes and stress test balance before launch.
What is modl.ai?
modl.ai works in a part of game development that gets far less attention than asset generation but consumes a large share of a studio's schedule: quality assurance. Rather than generating content, it trains bots that actually play your build, exploring levels, finding crashes and progression blockers, and surfacing balance problems across far more playthroughs than a human QA team could run. modl:test handles automated testing and modl:play covers in-game agents. Two things position it correctly. Automated play testing catches a specific class of bug well, namely reachability, crashes and progression breaks across many permutations, and does not replace human judgement on whether a game is fun, so it complements rather than replaces QA staff. And setup requires instrumenting your build and training bots on your mechanics, so it earns its cost on projects with long test cycles rather than short jam-scale games.
Key Features
Integrations
How to Use modl.ai
✅ Best For
- Studios where manual regression testing eats days of every milestone and still misses build breaking crashes
- Live service teams shipping frequent patches that need automated coverage on every build without growing the QA headcount
- Design teams tuning difficulty who need a controlled way to test how players at different skill levels experience a level
- Multiplayer developers who need realistic bodies in a match to validate matchmaking and balance before a real playerbase exists
- Producers who want reproducible bug reports with video and severity scores instead of vague reproduction steps
❌ Not For
- Teams looking for asset, art or dialogue generation, since modl.ai does no content creation at all
- Solo hobbyists on a small budget, as enterprise style quote based pricing is aimed at funded studios
- Studios wanting a plug and play tool with no integration effort, because bots need engine hookup and training on your mechanics
- Projects where the bugs are subjective feel and fun problems rather than crashes, glitches or balance issues
- Developers expecting AI testing to replace human QA entirely, rather than free humans up for exploratory testing
Reviews
No reviews yet. Be the first to review modl.ai!
Pricing
- ✓Quote based pricing scoped to project size
- ✓engine and testing volume
- ✓Smaller scale packages for independent studios
- ✓Continuous CI integrated testing across multiple builds and titles
- ✓Dedicated support
- ✓custom bot training and high volume simulation
Prompts to Try
Sweep the last three builds for crashes in the tutorial level
Simulate 500 novice players through the onboarding flow
Find geometry the player can clip through in the desert map
Test whether expert level bots can complete level 12 within the target time
Stress test the matchmaking queue with mixed skill populations