Yara Rizk

LLM agents trained without any programmatic verifiers can actually outperform models trained on ground-truth reward signals when trajectory-level rubric judgments are dynamically decomposed into step-level advantages.

Stop building brittle, one-off agent safeguards: ALTK offers reusable middleware components to systematically address failure modes across the entire agent lifecycle.