AI Loop

Simple Definition

An AI loop is a repeated process where an AI keeps trying, checking, and improving until a condition is met, or until it needs human help.

A loop tells the AI to keep working instead of stopping after one attempt.

Why It Matters

Many real tasks are not solved on the first try. A loop lets an AI test its own work, fix what is wrong, and try again, but it needs a clear stopping condition so it does not run forever or drift off course.

Example

An AI coding agent keeps fixing build errors and re-running the build until the project builds successfully, or until it gets blocked and asks you for help.

Related Terms

• AI Goal, defines the condition a loop runs until
• AI Agent, agents use loops to work through multi-step tasks
• AI Workflow, loops are a building block of larger workflows
• AI Automation, looping is common in automated processes
• Subagent, focused agents that may each run their own loop
• Related guide: AI agent infrastructure explained