06-21
Loops explained: Claude, GPT, Mira and what actually works
This article explains the core concept of AI loops—moving from single-request interactions to autonomous goal-driven iterations. It covers the five building blocks of a real loop (automation, skill, sub-agents, connectors, verifier), the hidden costs (context growth, token compounding, empty iterations), and provides a self-checking prompt you can paste into any LLM. It also introduces Mira as a free, no-code loop platform inside Telegram. For engineers evaluating agent infrastructure or anyone wanting to move beyond manual prompting.