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Engineering automation that survives real-world edge cases

Reliable automation is designed for messy inputs, changing websites and imperfect data.

The question

Why do seemingly simple scripts fail after launch?

Where I'd start

Make failures visible, design for change and review the total time saved rather than just the first run.

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