What is an agentic loop? (and how to build one) in 2026

An agentic loop is the repeating execution cycle that enables AI agents to autonomously perceive input, reason about next steps, take action, and observe results, continuing until a stopping condition is met. The article explains how to build reliable agentic loops within Make’s platform using the Make AI Agents module, tool scenarios, and proper guardrails to prevent failures like runaway iterations and cost overruns. It emphasizes that agentic loops excel at open-ended, multi-step tasks requiring judgment, while deterministic automation remains better suited for predictable, rule-bound processes.