Short-term planning loop is the most basic decision-making and thought process for a language model or agent. It is based on iterative thinking, where the agent continuously evaluates its progress and adjusts its actions as needed to move closer to achieving its goal. This looping pattern is simple yet highly effective for short-term problem-solving.

At the core of the loop is the agent’s continuous cycling of actions, evaluations, and adjustments—commonly referred to as agent loops. After an initial action is taken, the agent performs a review to assess the current state or outcome of the actions. This review involves analyzing what worked, what didn’t, and identifying areas for improvement. Reflection is critical during this stage, as it reveals valuable insights that inform the next steps.

The next step in the loop is to evaluate how far the agent is from the goal. This requires examining the gap between the current state and the desired result. It’s about identifying how much progress has been made and where effort still needs to be directed. By understanding this distance, the agent can focus its attention on the most impactful areas for change.

Based on the review and evaluation, the agent adapts its approach, refining actions as needed. From here, the cycle begins anew, with fresh adjustments driving each new iteration. This ability to consistently assess and modify actions allows the agent to respond effectively to challenges while steadily moving toward the goal. This process of adjust and repeat is a core part of the loop and ensures continual progress.

The short-term planning loop is useful not only for advancing the functionality of agents but also as a practical tool for everyday decision-making. Whether it’s managing personal tasks, solving problems, or completing a project, this loop can help achieve better results through repeated cycles of evaluation and improvement.

The benefits of this framework are clear. It provides a simple way to track progress, stay focused on short-term goals, and adapt as needed to changing circumstances. By emphasizing iterative action and measured adjustments, the short-term planning loop brings clarity and structure to the decision-making process. Its straightforward nature makes it accessible for both digital agents and individuals who want a practical strategy for tackling their objectives.