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', content: response.content }) messages.push({ role: '