Agent Architectures: How to Structure an AI Agent — Claude vs Vercel

Ralph loop no longer means one thing. A recent breakdown splits the term into five architectures: from loops that rerun the same prompt at Anthropic to stricter setups with an external validator, and even agents that evolve themselves. The core takeaway is simple. Before you launch a loop like this, work out who the oracle is, what is allowed to mutate, and whether the agent is quietly rewriting the success criteria.

AI-processed from Habr AI; edited by Hamidun News
Agent Architectures: How to Structure an AI Agent — Claude vs Vercel
Source: Habr AI. Collage: Hamidun News.
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When building an AI agent, it helps to understand the different architectural approaches. The term Ralph loop has become an umbrella for several patterns, from a simple loop that restarts the model to systems where the agent rewrites its own instructions between iterations.

What different interpretations of Ralph loop exist?

At least five patterns hide under this one name. Some people treat it as a plain outer loop that restarts the prompt. Others also include systems where the agent changes its own instructions and artifacts between iterations.

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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