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Building robust, real-world automation

1. Building robust, real-world automation

Welcome back! By now, we've built several workflows. In this video, we'll look at how to make those workflows dependable, shareable, and scalable in real-world environments.

2. Start with an example

Let's start with a real-world scenario. Imagine we're working at Acme Logistics, and our workflow receives delivery reports from couriers through a webhook.

3. Start with an example

First, we validate the input: does it include an order ID?

4. Start with an example

Next, we transform the data into a standard format and enrich it with customer details through an API call.

5. Start with an example

Finally, we decide what to do; if the package is delayed, send an alert to operations; otherwise, log it quietly. We've now used most of the core building blocks of a reliable workflow.

6. The building blocks

When we build workflows, "this runs" isn't enough; we want reliable, reusable flows that are easy to fix. As we've seen, workflows can be divided into their building blocks: triggers, Validation, Data Transformation, API Calls, Decisions, Actions, and Error Handling. We won't always use them in the same order; sometimes, we call an API before deciding, and other times, we check conditions first, but we'll almost always see these appear. Think of them as our automation toolkit.

7. Plan before you build

Before we start building, pause to plan. Clarity beats complexity. If we know what must go in and what should come out, the build becomes a matter of snapping blocks together. Ask yourself: What triggers this workflow? What inputs do we need? What outputs should it create? Which external services are involved? By answering these early, we'll know which building blocks to use and avoid messy rework later.

8. The plan-first checklist

Before almost any workflow, we can apply a simple method: list actions, define inputs, define outputs, decide rules, and select API calls.

9. The plan-first checklist

Once this is clear, n8n is just wiring. We don't have to document every detail, but the more we map up front, the faster we build.

10. The plan-first checklist

Regarding the Acme Logistics example, we already followed this process: we listed actions, defined inputs and outputs, decided the logic, and made an API call. This checklist works in marketing, finance, logistics, or support, anywhere data moves.

11. Making your workflow reusable

To make our workflow reusable, design it so others can easily drop and adapt it. Reusable workflows save time because no one has to reinvent the wheel. If we're working in a team, it helps others understand, maintain, or clone what we've built.

12. Making your workflow reusable

Don't hard-code values; store important variables in Edit Fields or configuration nodes so updates happen in one place. Validate inputs and keep outputs consistent; for instance, always use the same date format.

13. Making your workflow reusable

Finally, add clear comments or sticky notes so anyone can follow our logic at a glance.

14. Your automation toolkit

So remember, plan first, use our core building blocks, and document our logic. That's how we create reliable, reusable workflows ready for real-world automation.

15. Let's practice!

Let's put this into practice.

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