How do I setup agent loops?

2026-06-12 · Source: What's AI by Louis-François Bouchard · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, quick

Summary

This analysis details effective strategies for implementing agent loops, building on the concept of "loop engineering." A primary concern highlighted is the risk of uncontrolled loops consuming excessive tokens if not given clear start and stop conditions. The author's preferred approach involves manually initiating loops, explicitly defining the agent's goal and desired final result, and organizing agent skills in a markdown file with an index for quick access. Crucially, the strategy includes capping spending to prevent budget overruns and emphasizes supervising agents, particularly avoiding unsupervised overnight operation, due to the user's ultimate responsibility for the agent's actions.

Key takeaway

For AI Engineers building agent-based systems, carefully design your agent loops with explicit start and stop conditions to prevent uncontrolled token consumption. You should implement spending caps and maintain direct supervision, especially for critical tasks or during initial deployment, as you bear full responsibility for the agent's outputs and resource usage. Organize agent skills for efficient access.

Key insights

Agent loops require explicit control mechanisms to prevent runaway execution and token consumption.

Principles

• Loops need clear start/stop conditions.
• Users are responsible for agent actions.

Method

Manually initiate loops, define clear goals, organize skills via a markdown index, cap spending, and supervise agent execution.

In practice

• Organize agent skills in a markdown index.
• Implement spending caps for agent operations.
• Avoid unsupervised agent execution.

Topics

• Agent Loops
• Loop Engineering
• Token Management
• AI Agent Control
• Cost Management
• Responsible AI

Best for: AI Engineer, Machine Learning Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by What's AI by Louis-François Bouchard.