How to Set Up an AI Agent to Watch Your Store

There's a list you keep in your head. The broken-link check. The margin on your best seller. The searches people ran on your site that came back empty. You get to that list when something forces you to.

The list waits because nothing on it is urgent, right until one of the items is. A demo link on a sales page is the easy example.

That link can return a clean HTTP 200 for months while every visitor who clicks it lands on a login screen, because the page behind it is auth-gated and the checker only ever asked the server whether the URL existed.

The check passes and the visitor bounces. Failures like that sit there for weeks, costing you a slice of everyone who clicked, and they never get worse in a way you'd notice.

An AI agent can watch your store for you. The broken-link check, the margin check, the empty-search check, run every Monday whether you remember to start them or not, and it emails you one short summary. This guide walks through picking the first checks to hand off and setting an agent up to run on its own.

This is part of the "Make It Run Itself" mini-series. The idea behind all of it: stop being the alarm system for your own store.

The distinction underneath all of this, one prompt versus a workflow versus an agent, is the subject of when to use AI agents instead of one prompt. Once a job is real enough to hand off, picking the right AI tool for it is a separate question with its own answer.

What Changes When You Stop Being the Reminder

When I ask Claude a question, I get an answer and the conversation ends. That's how most people use AI, and it's fine.

An agent is different in the one way that matters here: it can carry out a multi-step plan and use other tools on its own, which is how MIT Sloan describes it. It can open your site, run the check, read what came back, and email you the result in a single run, with nobody sitting there watching it.

The Checks Worth Handing Off

Pick the things you keep meaning to do, have an agent run them every Monday morning, and have it send you a summary. Good first jobs:

• Scan for broken links.
• Watch for a sudden drop in conversion.
• Flag a product whose margin fell.
• Pull last week's site searches that returned nothing.

Write down the three checks you'd run if you had the time. That list is your workflow, and naming it is the part only you can do.

Then put a number next to each one. "Tell me if conversion drops" is a feeling. Conversion fell more than 20% against the same day last week. Margin on any product went under 30%. More than five site searches came back empty. A threshold is what makes a check runnable by a machine and arguable by you later.

Set them loose to start; a check that fires every Monday gets ignored by the third week.

The Failure You Won't See Coming

Some failures never produce an error at all. A paid tool renews for a service nobody opened in four months. A contact form stops delivering while it still shows the thank-you page. A discount code meant for one campaign keeps working a year later. An integration starts charging per call after a plan change, with no notice.

Nothing is down in any of those. No error page, no alert, no customer complaint. The only symptom is a line on a statement somebody reads once a month, if that.

That's the shape of the problem worth automating. Something is wrong, everything looks fine, and the only thing between you and finding out is whether you happened to look. These are the checks worth writing down first, because they're the ones nothing else will tell you about.

Checking for that is real work, and there is more of it than the calendar admits. Asana's Anatomy of Work Index put the average at 308 hours a year lost to duplicated work, with 61% of the day going to "work about work": the status checks, the updates, the looking-things-up. It's work that doesn't need you personally.

Here's what a Monday email looks like. One line per check:

Two broken links, both in the footer. Conversion flat week over week. Margin on the blue hoodie fell from 38% to 29% after the supplier price change. Eleven people searched "gift card" and found nothing.

Thirty seconds of reading with your coffee and you know your one real task for the week. No dashboard to open, no tabs to line up against each other.

What You Can Start With Today

Most of these checks already exist as small tools, and you can put them on a timer before you build anything custom.

Screaming Frog's free tier will crawl up to 500 URLs and list every broken link it finds. Google Analytics will email you when a metric moves past a threshold you set.

Zapier and Make both run tasks on a schedule and can hand the results to Claude or ChatGPT to write the summary for you. Your ecommerce platform probably already has a low-stock or margin report you've never turned on.

The summary step is where people lose the value. A raw crawl report handed to Claude or ChatGPT with no instructions comes back as your own numbers restated at length, the dashboard problem with extra steps.

Ask for the three things that changed since last week, one line each, no advice, and say what to leave out. Keep last week's output in a file the workflow can read, because "changed" needs something to compare against.

Start with one. A single scheduled job that runs your link checker and emails you the result every Monday is a real workflow. Get that running, read it for a few weeks, then add the second check.

This Is Already Normal

Most small businesses are already running some version of this. 58% of them now use generative AI, up from 40% the year before, according to the US Chamber of Commerce. Among small and midsize businesses with AI already in place, 91% say it lifts revenue and 90% say operations got more efficient, per Salesforce.

The software is heading the same way. Gartner expects a third of business software to include these agents by 2028, up from almost none in 2024. Building one now means you'll have a year of trustworthy summaries by the time it shows up as a checkbox in the tools you already pay for.

One Honest Warning

Your checks can lie to you.

The usual way it happens: the check answers the question next to the one you meant to ask. A keep-alive ping aimed at a database gets answered by the connection pooler in front of it, so the ping reports success while the database behind it goes to sleep anyway.

Every report reads green, right up to the outage. It's the auth-gated link again: what's being measured sits one layer away from what you care about.

So for the first few weeks, read every summary against what you already know is true. If the email says conversion is holding steady and you know last week was slow, your check is measuring the wrong thing, and better to learn that in week two than in month six.

Two habits make that easier. Have the agent report the raw number it saw alongside its verdict. "Conversion 1.8%, flat week over week" is something you can hold against your own figures; "conversion looks normal" leaves you taking its word.

And once, deliberately, break the thing you're watching: pull a link, drop a price under your margin floor, and see whether Monday's email catches it. A check that has never fired is an assumption.

Keep the agent read-only for the first month while you're doing that. Let it look at your store, your analytics, and your reports and tell you what it sees. Don't give it permission to change anything until its version of reality lines up with yours.

Once a month of Monday emails matches what happened, you'll know which checks you can trust, and that's the point to consider letting it do more than watch.

The deciding part stays yours: which checks matter and what counts as a problem. Building the thing that runs them is the part I do.

Quick Recap

• Your checks belong on a schedule, because the failures that hurt are the ones where nothing looks broken.
• Write down the three checks you'd run if you had time. That's your starting workflow.
• Good first jobs: broken links, conversion drops, margin drops, empty site searches.
• Start with tools you can already schedule: Screaming Frog, an analytics alert, a Zapier timer.
• Read the summaries against reality for a month before you trust them, and keep the agent read-only until then.

Start Here

If you can name the checks but not how to automate them, that's the gap to close. Choosing the checks is yours. The wiring is the technical part.

At daisyguti.ai/work-with-me, there's a short AI intake: about nine questions, a couple of minutes. Daisy reads every submission herself, assesses whether a workflow like this is a fit for how your store runs, and replies with next steps. She's a 20+ year engineer who builds these workflows for small business owners.

Sources

1. MIT Sloan, "Agentic AI, explained" - https://mitsloan.mit.edu/ideas-made-to-matter/agentic-ai-explained
2. Asana, Anatomy of Work Index (308 hours a year on duplicated work; 61% on "work about work") - https://asana.com/resources/anatomy-of-work-infographic
3. US Chamber of Commerce, small-business AI adoption (58% use generative AI) - https://www.uschamber.com/technology/artificial-intelligence/u-s-chambers-latest-empowering-small-business-report-shows-majority-of-businesses-in-all-50-states-are-embracing-ai
4. Salesforce SMB Trends, via US Chamber CO- (91% say AI boosts revenue) - https://www.uschamber.com/co/good-company/launch-pad/execs-on-ai-solutions
5. Gartner, via RCR Wireless (33% of enterprise software to include agentic AI by 2028) - https://www.rcrwireless.com/20250627/business/agentic-ai-gartner