The Reality of Automation
Here's what automation is not: setting it and forgetting it. Every product that sells "set it and forget it automation" is selling a fantasy. Automation requires maintenance, monitoring, debugging, and iteration. But when done right, it's still worth the investment.
Let me walk you through what a typical week actually looks like for me running Make.com scenarios.
6:45 AM: The Morning Check
Before coffee, I check my Make.com dashboard. Why? Because if something failed overnight, I want to know early—especially for workflows that affect customers directly (like my Shadow Hound resume optimizer).
What I'm checking:
- Failed executions: Did any scenario error out? Make shows red icons for failures
- Unusual operation counts: If my daily operation budget is being burned faster than normal, something's wrong
- Critical workflows: Did my lead capture, subscriber processing, or tool delivery workflows run successfully?
The cold truth: This 3-minute check prevents 20-minute debugging sessions later. I've learned this the hard way.
What Runs While I Sleep
My scenarios are configured to run on schedules, webhooks, or both. Here's what typically executes while I'm sleeping:
- Midnight: A workflow pulls KPI data from multiple sources and generates a daily summary email
- 2 AM: Lead scoring and segmentation workflow runs (I add new subscribers to different segments based on their behavior)
- Continuous (webhook-based): My form submissions, tool requests, and notifications all run as they come in
By 7 AM, I have a full picture of what happened overnight. Most of the time, it's smooth. Sometimes, it's not.
When Things Break (And They Will)
Let me give you some real examples of failures I've encountered:
Example 1: API Rate Limiting
One of my workflows calls the Twitter API too quickly. Twitter has rate limits, and I hit them. Result: tweets stopped posting for 6 hours. Fix: I added pauses between API calls and split the workflow into two scenarios running at different times. Setup took 30 minutes.
Example 2: Field Mapping Changed
Airtable updated their API. Suddenly, my field mapping stopped working. Make.com couldn't find the "Status" field because Airtable renamed it to "Status (Primary)". Result: no new records saved for 4 hours. Fix: Updated the mapping. 5 minutes. (But I wasted 20 minutes debugging because I didn't check the error logs carefully.)
Example 3: Too Much Data
My KPI reporting workflow tries to pull 500+ records from Airtable at once. Make.com times out. Result: the workflow never completes. Fix: Added filtering to pull only the last 30 days of data, reducing the dataset by 80%. 15 minutes to implement.
The pattern: Every failure has a reason. Execution logs tell you exactly what went wrong. Taking 2 minutes to read the error message saves 20 minutes of guessing.
The Weekly Iteration Cycle
This is the real workflow of automation:
- Observe: What tasks am I still doing manually? What workflows feel slow or fragile?
- Test: Build a new scenario or modify an existing one in draft mode. Test it thoroughly.
- Deploy: Activate it during a quiet time (never Friday at 4 PM).
- Monitor: Watch execution logs for the first 24-48 hours.
- Iterate: If something's wrong, fix it and test again. If it's working, document what you built.
For example, last month I noticed I was still manually sorting leads into different buckets based on their interests. That was 30 minutes every Monday. So I spent 90 minutes building a new scenario that reads the form submission data and tags leads automatically based on keywords. Now it's automatic.
The time investment: 90 minutes to build, 30 minutes saved per month. Breakeven: 3 months. But it's been working for 8 months, so I've saved 240 minutes total. That's real.
What I Still Do Manually (And Why)
Not everything should be automated. This is where people go wrong. They automate things that are supposed to be human-driven.
What I don't automate:
- Creative decisions: I don't auto-generate blog post titles. I write them myself because I need them to stand out.
- Client communication: If someone reaches out with a specific question or concern, I respond personally. Automation here would feel cold and wrong.
- Things that change constantly: If a process is in flux—still being refined—automating it locks you into a pattern that's probably wrong. Wait until the process stabilizes.
- High-stakes decisions: My Shadow Hound tool generates resume critiques, but I review random samples to ensure quality. Can't automate away accountability.
The honest truth: Automation is not about doing nothing. It's about doing the right things with your limited time. If you save 5 hours a week through automation but spend 3 of those hours on new problems automation created, you've only gained 2 hours. The net gain matters, not the gross savings.
The Honest ROI
People ask: "Is automation worth it?" The answer depends on what you're optimizing for.
If you're optimizing for time: Absolutely. I save 15-20 hours per month, which translates to real money given my billable rate. But only if I don't spend more time building and maintaining the automations than they save. So far, I haven't crossed that line.
If you're optimizing for stress: Even more valuable. Knowing that leads are automatically captured, forms are being processed, and reports are running without my intervention—that's priceless. I sleep better.
If you're optimizing for scale: This is where automation shines hardest. With manual processes, 50 form submissions a month requires 3 hours of work. With automation, it requires 5 minutes of monitoring. At 500 submissions, the difference is massive.
The real calculation: Calculate (time saved per month) × (your hourly rate). Then subtract (maintenance time per month) × (your hourly rate). If the net is positive, automate it. If not, don't.
The Hard Lessons I've Learned
1. Monitor your operations count. Make.com charges based on operations. A poorly designed workflow can burn through your monthly budget in days. I learned this when a webhook that was supposed to fire once per submission started firing 100 times. Ouch. Now I check the operation monitor weekly.
2. Over-complexity breaks things. My most robust workflows are simple. Three to five modules. My most fragile workflows are the ones I got ambitious with—15+ modules with nested conditions. Simple > clever.
3. Documentation saves your future self. I spend 5 minutes documenting each new scenario. Why does this exist? What does it do? What could go wrong? Three months later when something breaks, present-me thanks past-me. A lot.
4. Test data is your friend. Every scenario I build gets tested with realistic sample data before it touches real customers. Catches 90% of issues.
5. Not everything needs to be automated. Some work is worth doing manually. Automation isn't a moral imperative. It's a tool. Use it when it makes sense. Skip it when it doesn't.