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AI agents are moving from one-time assistants to persistent workers that can repeat tasks, monitor changes, run checks, update workflows, and return with results. Instead of prompting an LLM once and deciding every next step manually, teams can now use AI agents that keep working (on a Loop) until a goal or stop condition is met. This matters because real work is rarely a single prompt. Pull reque...
Loop Engineering for AI Agents: How /loop is Changing AI Workflows | Huntaegis