RLSupply supports custom ai agent evaluations through controlled environments, expert-authored tasks, rubrics, and deterministic verifiers. Instead of relying only on whether an agent produces an acceptable-looking answer, the environment can evaluate the state created by the agent’s actions. This approach helps AI teams investigate specific capability gaps, test difficult workflows, ... https://www.rl.supply/environments/code-generation/