moontask.ai
Difficult tasks fail first.
moontask.ai is a research lab. We turn real-world failures into verified tasks, RL environments, and post-training data for frontier labs.
Find the problem.
The baseline model fails the task. Agents trace each failure to its cause.
Agents build fixtures.
Independent agents audit each failure and turn it into a fixture, a test that reproduces it.
Evals test every fix.
Agents write candidate fixes. The eval harness runs each one against every fixture and the baseline.
Prove each fix.
A fix counts only when it passes its fixture and the full regression suite.
Start the training run.
Each verified problem becomes a task. Its fixture is the grader, and its fix is the reference solution.
Fly from zero.
A model trained on these tasks flies the full mission. It succeeds where the baseline failed.
moontask.ai
A research lab for difficult tasks.
Verified tasks, RL environments, and post-training data for frontier labs.