actionable ai

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Build an AI Agent That Works While You Sleep

The 3-step pattern for building AI agents that run 24/7, do real work, and get smarter every day. No coding experience required. Claude Code builds it for you.

  • The 3-step pattern every AI agent follows
  • How to find the perfect task to automate
  • Real example: content research agent (82 posts analyzed)
  • The exact stack and scheduling setup

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A 3-page guide covering the 3-step pattern for building AI agents with Claude Code, how to find the right task, the build process, the stack, and a real example of a content research agent that analyzes Instagram reels automatically.

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A look inside

What's inside

01

What Is An AI Agent?

An AI agent isn't a chatbot.

02

The 3-Step Pattern

Pick A Repetitive Task.

03

Finding The Right Task

Good agent tasks are repetitive, predictable, data-oriented, and low-judgment.

The rest of the guide

  1. The Build ProcessOpen Claude Code and describe your workflow in plain English.
  2. Pro TipExample prompt: Claude Code writes the scraper, the processing logic, the API integrations, and the database layer.
  3. The StackClaude Code, builds the agent for you Python 3, runtime (Claude Code writes this) Notion or Google Sheets, output database launchd (Mac) / cron (Linux) / Task Scheduler (Windows) Optional: Whisper, Claude Haiku, platform APIs
  4. Real Example: Content Research AgentI built an agent that logs into Instagram every morning, pulls my saved collection, transcribes reel audio with Whisper, sends each post to Claude for analysis (hook framework, performance tier, tactical breakdown), and saves everything to a searchable Notion database.
  5. What's NextOnce you build your first agent, you'll see the pattern everywhere.

About the author

Cooper Simson

Founder of Actionable AI. 30,000+ operators read the newsletter.

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