With continuous evaluation, AI agents evolve from static tools into learning systems that improve over time — bridging the gap between general AI capabilities and business-specific needs.

That trust comes from evaluation systems that:
– Benchmark real tasks
– Ground outputs in… pic.twitter.com/FNnoTD5dPL

— Databricks (@databricks) 20 novembre 2025

With continuous evaluation, AI agents evolve from static tools into learning systems that improve over time — bridging the gap between general AI capabilities and business-specific needs. That trust comes from evaluation systems that:
– Benchmark real tasks
– Ground outputs in

→ View original post on X — @databricks