How I Built an Autonomous AI Agent That Earns USDC While I Sleep

Description and use

<h1> How I Built an Autonomous AI Agent That Earns USDC While I Sleep </h1> <p><em>Target audience: developers who are designing or running autonomous AI agents and want to understand the practical trade‑offs of integrating LLM‑based planning, tool use, and on‑chain payments.</em></p> <h2> Table of Contents </h2> <ol> <li> Introduction </li> <li> System Architecture Overview </li> <li> Choosing and Preparing the LLM </li> <li> The Planner Loop </li> <li> Tool Integration and the Executor </li> <li> x402‑Based Payment Flow </li> <li> Scheduler and “Sleep” Mode </li> <li> Observability, Logging,

Problem

<h1> How I Built an Autonomous AI Agent That Earns USDC While I Sleep </h1> <p><em>Target audience: developers who are designing or running autonomous AI agents and want to understand the practical trade‑offs of integrating LLM‑based planning, tool use, and on‑chain payments.</em></p> <h2> Table of Contents </h2> <ol> <li> Introduction </li> <li> System Architecture Overview </li> <li> Choosing and Preparing the LLM </li> <li> The Planner Loop </li> <li> Tool Integration and the Executor </li> <li> x402‑Based Payment Flow </li> <li> Scheduler and “Sleep” Mode </li> <li> Observability, Logging,

Outcome

<h1> How I Built an Autonomous AI Agent That Earns USDC While I Sleep </h1> <p><em>Target audience: developers who are designing or running autonomous AI agents and want to understand the practical trade‑offs of integrating LLM‑based planning, tool use, and on‑chain payments.</em></p> <h2> Table of Contents </h2> <ol> <li> Introduction </li> <li> System Architecture Overview </li> <li> Choosing and Preparing the LLM </li> <li> The Planner Loop </li> <li> Tool Integration and the Executor </li> <li> x402‑Based Payment Flow </li> <li> Scheduler and “Sleep” Mode </li> <li> Observability, Logging,

Evidence

How I Built an Autonomous AI Agent That Earns USDC While I Sleep

Source