Ever burned through 847 operations on a single Make.com workflow and wondered where you went wrong? Nico Hartwell did exactly that, and the lessons he learned could save you hundreds of dollars and countless headaches. In this episode, he breaks down the hidden mechanics of iterators and aggregators that most automation builders completely misunderstand.

🎯 What You'll Learn:

• Why that innocent-looking array with 100 items just cost you 100 operations (and how to spot this trap before it hits)

• The sneaky truth about Google Sheets modules that already include iterator functionality, so you don't accidentally double-process your data

• How to use aggregators like SUM and AVERAGE to turn scattered bundles back into single, actionable results

• The iterator → processing → aggregator pattern that Make.com built into their most popular modules

👤 Perfect for: anyone using Make.com who's tired of watching their operation count explode without understanding why, especially if you're working with spreadsheets or processing lists of data.

📍 Chapters:

[00:00] Nico's 847-operation disaster story

[01:30] What iterators actually do to your data bundles

[04:00] Why Google Sheets modules are secretly iterators

[07:00] Aggregators: turning chaos back into order

[10:00] The built-in iterator pattern you're probably missing

[12:00] Three rules to avoid operation overruns

The difference between a $50 automation and a $500 mistake often comes down to understanding these two concepts. Nico walks through real examples, shows you the operation counts, and explains exactly when to use each approach.

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🔍 Topics: Make.com automation, workflow optimization, iterator modules, aggregator functions, operation cost management

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Keywords: automation agency, business ai, automation mistakes, ai roi

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