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Automation Thinking

The Difference Between Scripts, Tools, and Systems

PMTheTechGuy
··3 min read
The Difference Between Scripts, Tools, and Systems cover image

When someone says "I built an automation," they could mean three very different things:

  • A 50-line throwaway script.
  • A reusable tool with a UI.
  • A fully autonomous system.

Each serves a purpose. But most people stop at scripts when they should be building tools.

Example: My Document AI Starter is intentionally designed as a tool, not a script. Here is why that matters.


One-Off Scripts

A script is code you write once to solve an immediate problem.

Characteristics:

  • No UI, just hardcoded paths.
  • No error handling (it just crashes if something goes wrong).
  • No documentation.
  • You run it, it works, you delete it.

When to use:

  • Ad-hoc data cleanup.
  • One-time migrations.
  • Quick experiments.

Example:

# Quick script to rename 50 files
import os
for i, file in enumerate(os.listdir("./data")):
    os.rename(f"./data/{file}", f"./data/file_{i}.pdf")

This works once. But if you need to reuse it next month, you'll forget how it works.

Reusable Tools

A tool is a script that evolved. It has:

  • Configuration (via CLI arguments or config files).
  • Error handling (it tells you what went wrong).
  • Documentation (a README or help message).

When to use:

  • Tasks you'll repeat monthly or quarterly.
  • Tasks someone else might need to run.
  • Tasks that need to work on different environments (dev, staging, prod).

Example: The Document AI Starter is a tool. It has:

  • A config.yaml file for customization.
  • CLI flags for batch vs. single-file processing.
  • Error logging for debugging.

This means it can be reused on different projects without rewriting the code.

Maintainable Systems

A system is a tool that runs on its own.

Characteristics:

  • Fully automated (triggered by events, not humans).
  • Monitoring and alerting (you know when it fails).
  • Version-controlled infrastructure (Terraform, Kubernetes, etc.).

When to use:

  • Daily/hourly tasks.
  • Mission-critical workflows.
  • Tasks that need to scale horizontally.

Example: A system version of Document AI Starter would:

  • Watch a folder for new PDFs (using a Cloud Function trigger).
  • Process them automatically.
  • Send alerts if processing fails.

Why Most People Stop Too Early

Building a tool takes 3x the effort of a script. Building a system takes 10x the effort.

But here's the ROI: A tool can be reused 100 times. A system can run forever.

If you know you're solving a recurring problem, skip the script phase and go straight to building a tool.

Tags

#Automation#Engineering#Architecture#Best Practices
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