Run your day · Lesson 6.6
12 Monday Automation Examples You Can Adapt Today
Looking at examples is the fastest way to see what a good Monday job looks like. Below are twelve Monday automation examples across different small businesses. They are illustrative: invented setups to adapt, not reports of what a real business achieved.
Each has the job, the input, the output, one stop rule and a short note on why it suits automation.
Lesson 6.6 walks you through it step by step: Hand off the job you do every Monday.
Good Monday jobs share a shape: fixed rhythm, known inputs, a result you can check in a minute and a stop rule that keeps you in charge.
How to read these
Each example is a starting sketch. Before you use one, write the full steps in your own words, run it once by hand with AI, then check three runs. If you want the template, see the free template post.
Shops and makers
1. Stock summary (online shop). Input: last week's sales and current stock. Output: a short list of low stock items as a draft email to the supplier. Stop rule: never send. Why it works: the maths is repeatable and the result is easy to check.
2. Prep list (bakery or cafe). Input: weekend orders and standing orders. Output: a prep list grouped by oven time. Stop rule: flag allergy notes and never drop them. Why it works: the format is fixed and a mistake shows up quickly.
3. Order follow up (maker). Input: orders shipped last week. Output: a short thank you draft per customer. Stop rule: drafts only. Why it works: the wording is repetitive, the sending stays with you.
Service businesses
4. Client status note (freelancer). Input: last week's notes. Output: five lines of done, slipped, next. Stop rule: draft only. Why it works: the structure is the same every week.
5. Appointment confirmations (clinic or salon). Input: the week's booked appointments. Output: a confirmation message draft for each. Stop rule: remove any private details and never send without review. Why it works: a fixed template, with a check that dates match. Check any rules on client messages that apply in your area.
6. Quote chase (trades). Input: quotes sent more than a week ago with no reply. Output: a polite nudge draft. Stop rule: never mention a price you did not quote. Why it works: it saves you remembering who to chase.
Creators and marketing
7. Content plan (creator). Input: your idea list and last week's posts. Output: five post ideas for the week with a hook each. Stop rule: nothing is published automatically. Why it works: the task is generative but the output is a list you pick from. See Lesson 6.1 for planning habits.
8. Performance snapshot (small marketer). Input: an export from your analytics or ad account. Output: a one paragraph summary of what moved. Stop rule: the AI may not change budgets. Why it works: reading a table is routine and a person decides what to do.
Admin and money
9. Invoice reminders (any business). Input: a list of unpaid invoices. Output: reminder drafts, firmer for older ones. Stop rule: never send, never state a legal threat. Why it works: the list is clear and the tone ladder is fixed. Do not use it for anything that moves money.
10. Inbox sort (anyone). Input: the weekend's email. Output: the five that need a real answer and a short summary of the rest. Stop rule: never delete, only label. Why it works: it reduces the pile without risking loss. Lesson 6.2 covers this in full.
11. Meeting prep (consultant). Input: calendar for the week and notes from earlier calls. Output: a one page brief per meeting. Stop rule: do not contact attendees. Why it works: gathering notes is tedious and checkable. Pair it with Lesson 6.3 on follow ups.
12. File tidy (anyone). Input: a downloads or scans folder. Output: a list of proposed renames and moves. Stop rule: nothing is moved or deleted until you approve the list. Why it works: you review a list instead of trusting a bulk action.
What the twelve have in common
| Trait | Why it matters |
|---|---|
| Fixed trigger | You can schedule it without thought |
| Known inputs | The AI is not guessing where to look |
| Draft or list output | You stay the decision maker |
| One stop rule | Limits the damage of a bad run |
| Quick check | You catch problems early |
Picking your example
Choose by two tests. First, can you describe the steps in ten lines or fewer? Second, if it went wrong once, would you shrug or panic? Pick one that passes both.
Then decide how it will run. A repeating Google Calendar event, which Google says can repeat on chosen days, is a gentle start. For a job that ends in a message, Gmail schedule send lets you set the send time, and Google's help page says you can hold up to 100 scheduled emails. An agent with a built in scheduler, like the one described in the Hermes Agent documentation, is the fuller option.
Adapting an example
- Replace the input with your actual file or source.
- Rewrite the output in your own voice, with a sample if you have one.
- Keep the stop rule, or make it stricter.
- Add "if something is missing, say so and stop."
- Check three runs before you trust it.
Writing your own stop rules
The stop rule is the part people most often skip, so here are some patterns to borrow for the examples above.
For anything that sends messages: "Never send. Leave a draft." For anything that touches files: "Do not move, rename or delete. Give me a list first." For anything with numbers: "Show your working so I can check the totals." For anything with private information: "Leave out names and details that are not needed, and tell me what you left out." For anything with thin input: "If you do not have the information, say so. Do not fill the gap."
Combine two or three of these in a short line at the top of your steps. A rule you can read in five seconds is a rule that gets followed, and it gives you a clear point to relax later: when several weeks pass with no problems, you can loosen one rule at a time.
Also write down who owns the job. If the AI is preparing and you are approving, say so. It sounds obvious, but it keeps the decision with the person who is accountable for the result.
Make one of these yours
Pick one, write its steps tonight and run it once tomorrow. Lesson 6.6 shows the whole path from choosing to checking: Hand off the job you do every Monday.
Questions people ask
Are these real business results?
No. They are illustrative sketches to adapt. None reports a measured outcome.
Which example is easiest to start with?
The inbox sort or the file tidy, because the AI only proposes and nothing is sent or deleted.
Can I combine two?
Do one at a time. Add the second after the first has run cleanly for a month.