AI loops: automate without repeating mistakes

An automation pattern, not an autonomous team

TechCrunch describes the rise of AI systems that operate in loops: they observe a state, propose or execute an action, then evaluate the result again. The architecture can help with repetitive tasks, but it does not necessarily mean that a swarm of agents works without supervision or that the result always improves.

A poorly designed loop can repeat an error, create inconsistent content or consume resources continuously.

Start with a narrow scope

In PrestaShop, a reasonable first use might detect incomplete product pages or prepare a proposed correction without publishing it automatically. Each stage needs a budget limit, a log, a stopping rule and human approval for sensitive changes.

The ability to restore the previous version is essential. Stock, prices and public content should be changed automatically only when the data source, controls and responsibility for the action are clearly defined.