Run your day · Lesson 6.6
5 Monday Automation Mistakes That Cost Time, and the Fixes
Monday automation goes wrong in predictable ways. The setup looks fine, the first run looks fine, and then a few weeks later you find the report has been wrong since week two. The cost is not the AI. It is the time spent undoing quiet errors.
These are five mistakes that are easy to make and cheap to avoid. They come from how recurring work behaves in general, not from a study, so treat the "cost" lines as reasoning rather than measurement.
Lesson 6.6 walks you through it step by step: Hand off the job you do every Monday.
Most expensive mistakes come from skipping a boring step: choosing, writing, checking or watching.
Mistake 1: Automating a job that is not stable
What happens. You pick a job because it is annoying, but the steps change every week. The AI follows last month's pattern and you spend longer correcting it than doing it.
Why it costs. Setup time is spent on something that never pays back, and you lose trust in the whole approach.
The fix. Before you start, ask four questions. Is it on a fixed rhythm? Are the steps the same? Is a mistake easy to spot? Can you check the result in a minute? If any answer is no, pick a different job or automate only the stable part.
Mistake 2: Never writing the steps down
What happens. You tell the AI "do my Monday report" and hope it learns the rest. It guesses, and the guesses differ each week.
Why it costs. Inconsistent output means you re-check everything forever.
The fix. Write the job as numbered steps, one action per line, with the trigger, inputs, finished result and stop rules. If you need a model for good instructions, how to brief AI like a senior hire lays out the idea.
Mistake 3: Skipping the first three runs
What happens. One good test run feels like proof. You schedule the job and move on.
Why it costs. Real weeks have missing files, odd inputs and renamed columns. The first time one appears, it appears unwatched, possibly in front of a customer.
The fix. Treat the first three real runs as part of setup. Do the job by hand beside the AI's version, list every difference and fix the steps. Only then move to spot checks.
Mistake 4: No stop rules
What happens. The AI is allowed to send, delete or overwrite, because you never said otherwise.
Why it costs. One wrong email or overwritten file can cost more than a year of saved Mondays.
The fix. Write the limits into the steps. "Draft only, never send." "Write to a copy of the sheet." "If a file is missing, stop and tell me." Use features that make this easy. For example, a scheduled email in Gmail can be cancelled before it goes, and Google's help page notes that cancelling turns it back into a draft.
Mistake 5: No note, so no visibility
What happens. The job runs on a schedule and you never hear about it. Weeks later you discover it stopped.
Why it costs. A silent failure compounds. The longer it runs unnoticed, the more there is to clean up.
The fix. End every run by sending yourself a short note: what ran, what looked odd, what needs a decision. If the note stops arriving, treat that as the alarm. Some scheduling tools are built around delivering results back to you. The Hermes Agent documentation describes scheduled tasks that deliver results to a chat or file, and that can be paused, resumed or triggered manually, which helps when you are testing.
| Mistake | Early warning sign | Fastest fix |
|---|---|---|
| Unstable job | You rewrite the output every week | Pick a steadier job |
| No written steps | Output differs each run | Write numbered steps |
| Skipped first runs | A surprise on week two or three | Run beside the manual version |
| No stop rules | AI did more than you expected | Add draft only rules |
| No note | You cannot say if it ran | Add a completion note |
A quick audit you can do in ten minutes
Open the note for your current job and ask five yes or no questions.
- Is the job stable?
- Are the steps written down?
- Did I check at least three real runs?
- Are there stop rules?
- Do I get a note each time?
Any "no" tells you where to spend your next half hour. If you have not started yet, the same list is a good pre-flight check.
When a mistake has already happened
Do not panic and do not hide it. Pause the job, do the week by hand, and find out which of the five caused it. Then fix the steps, not the output. Reading the HAND framework will give you a routine that builds these checks in.
Why these mistakes feel invisible
Each of the five mistakes shares a trait: nothing looks wrong at the time. The job is still producing output, so it seems fine. The cost appears later, when you find a pattern of small errors or a gap in the records.
That is why the fixes are all dull. A written step, a stop rule, a note, a few checked runs. None of them is exciting, and each one is cheap compared with the work they prevent.
A useful mental picture is a new employee in their first month. You would not hand them an important task on day one, walk away and never look at their work. You would explain the job, watch the first few attempts, set limits on what they can decide alone, and ask for a short update. Automation deserves the same treatment, only the employee works faster and does not tire, so mistakes can pile up faster too.
If you only have time to fix one thing this week, add the completion note. It will not stop a mistake, but it will make the next one visible, and visibility is what lets you fix the rest.
Where to learn the fixes in order
The five fixes come together in one sequence: choose, write, test, check, schedule, note. Lesson 6.6 teaches it in that order: Hand off the job you do every Monday.
Questions people ask
Which mistake is the most common?
Skipping the first runs is a common one, but that is a judgment, not a measured fact. Fix whichever of the five applies to you first.
Can I fix a job that is already running?
Yes. Pause it, write the missing steps and stop rules, then check three runs again.
Is a completion note really necessary?
For anything that runs unattended, yes. It is the only thing telling you the job still works.