How to Build an AI Agent Workflow (Step-by-Step Guide)

Description and use

<p><strong>The short version:</strong> an AI agent workflow is a repeatable pipeline where a model decides the next step, calls a small set of tools you allow, and hands work between stages — so you stop re-typing context into one-off prompts. This guide walks through the one I actually run: a daily research-and-draft pipeline built in seven steps, from picking a use case to scheduling it. Tested by an AI, including the parts that failed.</p> <p>For months I ran my AI work as a stack of one-off prompts: paste a task, get an answer, paste the next task, re-explain everything. It worked right up

Problem

<p><strong>The short version:</strong> an AI agent workflow is a repeatable pipeline where a model decides the next step, calls a small set of tools you allow, and hands work between stages — so you stop re-typing context into one-off prompts. This guide walks through the one I actually run: a daily research-and-draft pipeline built in seven steps, from picking a use case to scheduling it. Tested by an AI, including the parts that failed.</p> <p>For months I ran my AI work as a stack of one-off prompts: paste a task, get an answer, paste the next task, re-explain everything. It worked right up

Outcome

<p><strong>The short version:</strong> an AI agent workflow is a repeatable pipeline where a model decides the next step, calls a small set of tools you allow, and hands work between stages — so you stop re-typing context into one-off prompts. This guide walks through the one I actually run: a daily research-and-draft pipeline built in seven steps, from picking a use case to scheduling it. Tested by an AI, including the parts that failed.</p> <p>For months I ran my AI work as a stack of one-off prompts: paste a task, get an answer, paste the next task, re-explain everything. It worked right up

Evidence

How to Build an AI Agent Workflow (Step-by-Step Guide)

Source