Run your day · Lesson 6.6
10 Monday Automation Strategies Worth Trying (Pick Two)
Monday automation means handing a repeating weekly job to AI so you stop starting it by hand. There are plenty of ways to go about it, and trying all of them at once is how people end up with a mess nobody trusts.
Here are ten strategies. None of them comes with a promised result, because that depends on your job. Read them, pick two that fit, and ignore the rest for now.
Lesson 6.6 walks you through it step by step: Hand off the job you do every Monday.
Do not adopt ten strategies: pick the two that fix your biggest weekly annoyance and run them for a month.
1. Choose the job by annoyance
List what you do every Monday and circle the task you dislike most. Dislike is a useful signal: it means you will keep pushing until it works. It also means you notice when it breaks.
2. Write the steps before you touch a tool
Describe the job in numbered lines, one action each. Many setups fail because the job was never written down, so the AI is guessing. Five minutes of writing here saves hours of fixing later.
3. Add a stop rule
Decide what the AI must never do alone. "Never send, only draft" is the classic one. Stop rules are what let you hand over work you care about without worrying.
4. Run it once by hand first
Paste your steps and a real set of inputs into a chat and read the result. You are testing your instructions, not the AI. Each gap you find is a missing line in your note.
5. Check the first three runs
Keep your own version beside the AI's for three real weeks. Write down every difference and update the steps. This is the single most protective habit on the list.
6. Use the calendar as your first scheduler
Google Calendar lets you make an event repeat on chosen days, so a weekly slot that says "run the Monday job" costs you nothing to set up. It is a reminder rather than true automation, but it builds the habit while you decide whether the job is worth a real schedule.
7. Delay the send, not the work
If the job ends in an email, Gmail's schedule send lets the message go out at a time you choose, and Google's help page says you can have up to 100 scheduled emails. That means the AI can prepare the email on Friday, you can read it, and it sends at 8am Monday.
8. Use a scheduled trigger once the job is stable
Some automation tools offer a schedule trigger. Zapier's Schedule app lists triggers such as every week on selected days, with a time of day and an optional timezone override. A trigger like that starts a workflow at a fixed time without you. Add it only after three clean runs.
9. End every run with a note to yourself
Have the last step produce a short message: what ran, what looked odd, what needs a decision. If you stop receiving the note, you know something is wrong. This also makes a silent failure obvious.
10. Review monthly and shrink the job
Once a month, read the notes and ask which steps are no longer needed. Sometimes the best automation is deleting half the job. Our guide to measuring Monday automation covers what to track.
Which two to pick
| Your situation | Start with |
|---|---|
| Never written the job down | 1, 2, 4 |
| Worried about AI sending the wrong thing | 3, 5, 7 |
| Job runs fine but you forget to start it | 6, 8 |
| Job runs but you cannot tell if it worked | 9, 10 |
A short example
Illustrative only. Say you run a small online shop and every Monday you write a stock summary for your supplier. You pick strategy 2 and write six numbered steps. You pick strategy 3 and add a rule: draft only. You run it by hand, find that it skipped discontinued items, and add a line about that. After three clean weeks you add strategy 7, so the draft is ready on Friday and scheduled for Monday. Two strategies, one job, and no new software.
How to run a one month trial
Strategies only help if you test them. Give yourself four weeks and treat it as a small experiment on one job.
In week one, write the steps and run the job once by hand with AI. In week two, do the first checked run. In week three, do the second and update the note. In week four, do the third and decide whether the job is ready for a schedule.
Keep a single page with a line per week: did it run, was it right, what did you change. At the end of the month, read the page. If the job needed fewer changes each week, keep going. If it needed the same fix every time, the steps are the problem, so rewrite them before you try again.
Do not add a new strategy mid trial. If you change two things at once you will not know which one helped. The aim is to learn how your job behaves, and that only works when the setup stays still long enough to watch.
A final warning about enthusiasm: the first good run makes people want to automate everything. Resist it. One reliable job is worth more than five fragile ones, and it gives you a pattern to copy for the next.
A note on trust
Trust in an automated job should be earned in small steps. Start with draft only output, move to spot checks after several clean weeks, and only then consider letting a low stakes step run on its own. Each step up should come from evidence in your own notes, not from a feeling that it seems to be going well. If a bad week appears, step back one level without fuss.
Where to go from here
The order matters more than the list. Write, test, check, schedule, review. If you would like the guided version, with the prompts for each stage, Lesson 6.6 covers it: Hand off the job you do every Monday. Related habits from the same course are in Lesson 6.2 on a clean inbox and Lesson 6.1 on planning your day.
Questions people ask
Should I try all ten?
No. Two strategies on one job, run for a month, will teach you more than ten tried lightly.
Which one matters most?
Checking the first three runs. It catches the problems that only appear with real inputs.
Can I skip the scheduler?
Yes. A repeating calendar event is a perfectly good scheduler for many jobs.