ThinkingBox introduces a framework that turns database grading into reinforcement learning rewards for post‑training agents. The platform automatically converts evaluation metrics into reward signals, enabling fine‑tuning of agents after deployment. This reduces manual reward engineering, speeds iteration, and improves policy performance on real‑world tasks.
Opening Kapyn…