Agentic AI Loops With Claude: Build Self-Correcting Agents That Actually Finish Tasks

An agentic loop is what separates a chatbot from an autonomous agent. Instead of answering once and stopping, an agent takes an action, observes the result, and decides what to do next -- repeatedly until the task is done. Here's how to build one with Claude that actually self-corrects. The Basic Loop import Anthropic from ' @anthropic-ai/sdk ' const client = new Anthropic () async function runAgent ( task : string , maxIterations = 10 ) { const messages : Anthropic . MessageParam [] = [ { role : ' user ' , content : task } ] for ( let i = 0 ; i < maxIterations ; i ++ ) { const response = await client . messages . create ({ model : ' claude-opus-4-6 ' , max_tokens : 4096 , tools : TOOLS , messages }) // If Claude is done, return if ( response . stop_reason === ' end_turn ' ) { return extractText ( response ) } // Execute tool calls const toolResults = await executeTools ( response . content ) // Add Claude's response and tool results to history messages . push ({ role : ' assistant ' ,