AI Automation Playbook - EN

The definitive guide to designing, testing, and selling reliable automations.

If you already build workflows in n8n or Make, you know that a green execution indicator is not enough. The real challenge arises when a credential expires, an API fails, or the AI model invents information. This practical manual moves you away from unstable drafts and teaches you how to deliver robust automations that clients are willing to pay for.

What you will learn across 4 interconnected laboratories:

• Validated Entry Points: How to create endpoints in n8n that reject invalid data.

• Strict Output Contracts: How to contain AI uncertainty using Structured Output Parsers (JSON Schema).

• Duplicate-Immune Systems: How to use persistent data stores in Make with atomic key validation.

• Limited-Access Agents: How to provide secure read-only tools to an agent without exposing confidential data.

Commercial and Operational Framework Included:

You won't just learn the technical engineering. This playbook includes a complete strategy to price your projects based on risk, structure commercial proposals immune to scope creep, and sell recurring monthly maintenance contracts.

Editable extra content included:

• Official Project Scoping Sheet for alignment with clients.

• Acceptance Test and Incident logs.

• JavaScript and Python code ready to use in the laboratories.

Start selling a secure process, a measured improvement, and a predictable result instead of AI nodes.