What makes an agent loop useful?

Cloudinary's post examines AI systems that act, evaluate, and iterate without prompting at each step. The difference between a chatbot and an agent loop is autonomy: one waits for instructions, the other runs a plan to completion. For DAM practitioners, this means retrieval workflows that adjust search strategy when initial queries fail, or metadata enrichment routines that validate their own output before committing changes. The signal is systems that know when they are done.