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Agent Cookbook

Real agents making $700 to $20K a month

About Agent Cookbook

Agent Cookbook is a repository of AI agent recipes and guides. It presents real setups and workflows created by individuals, organized into collections and guides. The tool aggregates posts, templates, and prompts that users can copy and adapt for their own uses. It links to the original sources and highlights practical examples across money, productivity, and workflow categories. The content is recipes, steps, and prompts to copy for execution.

Agent Cookbook presents curated content around AI agents, including guides, comparisons, and step-by-step how-tos. It aims to help users discover real-world uses, replicate results, and learn from posted workflows. The material is updated with new recipes and prompts.

The platform features a library-like structure with sections such as Money & bills, Content & social, and Claude Code use cases. Recipes include prompts, steps, and guardrails to guide execution. Each item is tied to a source post or document and marks ownership of the prompts or templates where applicable. The overall approach is to enable replication and adaptation of documented agent workflows.

Guides and use-case collections are provided to help users explore money-making opportunities with AI agents, voice agent businesses, and coding workflows. The guides organize content by job, tool, or money model and link to the original sources for each recipe. The site encourages users to study the workflows, then copy and apply them in their own contexts.

Use cases

  • Make money with AI agents and workflows

Key features

  • Search and browse a large library of real AI agent recipes
  • Guides and comparisons for AI agent use cases
  • A library structure with many recipes
  • Prompts and steps you can copy
  • Free access to select top templates and packs

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Frequently asked questions

What is Agent Cookbook?
Guides and recipes for real AI agent use cases and workflows with prompts and steps.
Who is Agent Cookbook for?
People looking to replicate or learn from real AI agent setups and templates.

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