Autonomous AI loops

An explanation of AI loops as a shift from manual prompt-response work to goal-driven systems that plan, execute, verify, fix, and repeat until they meet objective criteria or hit a hard stop. Why it matters: The useful signal is the verifier-first framing: loops only become trustworthy when they have clear goals, state, stop conditions, and objective checks such as tests, rubrics, or measurable thresholds.

Try this: Before automating a workflow, write its loop contract: goal, verifier, state to preserve, maximum iterations or budget, and the exact condition that means stop.