ALTK‑Evolve lets agents acquire new skills while executing tasks, reducing the need for pre‑training data. The Hugging Face framework trains models on live interactions, updating policies in real time. Developers can integrate the system into existing pipelines with minimal overhead. The approach promises faster deployment and lower data costs for production AI agents.