𝗔𝗴𝗲𝗻𝘁 𝗟𝗼𝗼𝗽𝘀 𝗡𝗲𝗲𝗱 𝗖𝗼𝘀𝘁 𝗗𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝗡𝗼𝘄

𝗔𝗴𝗲𝗻𝘁 𝗟𝗼𝗼𝗽𝘀 𝗡𝗲𝗲𝗱 𝗖𝗼𝘀𝘁 𝗗𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲 𝗡𝗼𝘄

A small team spent 1.3 million dollars in 30 days. They used 100 AI agents.

Agent loops act like tireless workers. They observe, act, and retry. This pattern turns a model into a worker with momentum.

But every loop pass has a price.

• Planning consumes context.
• Tool calls add logs.
• Retries cost more tokens.

A smart loop looks different on an invoice. Ambiguity turns into high costs.

You must put cost control at the center of your design.

• Give every loop a budget contract.
• Set maximum calls and tokens.
• Use cheap models for simple tasks.
• Use frontier models for hard judgment.
• Use deterministic tests before asking a model to judge.

Cost is a signal. High token bills show missing requirements. They show poor state design.

Treat tokens like working capital. Ask if a loop creates knowledge or only motion.

The goal is simple. Make every pass through the loop earn its place.

Source: https://dev.to/jacob_is_surfing/agent-loops-need-cost-discipline-now-1i5o

Optional learning community: https://t.me/GyaanSetuAi