Agent loop
The iterative process by which an AI agent plans, acts, observes the result, and decides the next action repeating until the goal is achieved. Claude AI uses agent loops to complete multi-step tasks like researching a contact and drafting a personalised email.
Expert insight
An AI agent loop (the model deciding which tool to call, observing the result, deciding the next action) needs an explicit maximum iteration count, without one, an agent that gets stuck in an unproductive cycle, repeatedly calling the same tool with slightly different inputs, will keep running (and accumulating cost) until something else stops it.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Agent loop is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the AI & Agents category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Technical term used in production automation systems.
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