We build AI agents for eCommerce brands in two ways: we integrate one agent into your store, or we set up your whole store so agents can watch sales, ads, stock, customer support and SEO. It is custom work on your data, your access and your rules, not a chatbot sold off the shelf.
The question that tells them apart is whether the path is already written. Anthropic draws the same line in Building effective agents: workflows run through predefined code paths, agents direct their own process and tool use. Most store tasks need the simplest form that works, so we start there.
Answers questions from the text it was given: your policies, your FAQ, your product pages.
It does not look at the order, so it cannot tell a customer where their package is.
Follows paths drawn in advance: a trigger, conditions, actions. Shopify Flow works this way.
It handles the cases someone foresaw. Anything outside the diagram goes to a person.
Gets a goal and tools on your store data, then chooses its next step from what it finds.
It needs defined access, a narrow task and a person on the actions that matter. That is the part we build.
Both start from your store, not from a template. We look at your data, your access and who is responsible for what, then we build the version that fits.
We take one job in your store and build an agent that does it, connected to your data and to the people who own the outcome.
An agent can only watch what it can read. We organize your store so agents can see everything that matters, in one picture: sales, ads, stock, customer support and SEO.
With the store set up for it, agents keep an eye on the areas that take your team the most attention. They report and flag. The decision stays with you.
Watches
Orders, revenue, conversion and product performance against your own recent pattern.
Flags
A drop or a spike that does not fit the pattern, with the likely place to look.
You decide
What to do about it.
Watches
Spend, campaigns and results across your ad accounts.
Flags
Spend running with no matching orders, campaigns that stopped delivering.
You decide
Budgets and campaign changes.
Watches
Inventory levels and sell-through by product and variant.
Flags
Best sellers running low, products about to go out of stock, stock that is not moving.
You decide
Reorders and pricing.
Watches
Incoming tickets and messages, with the order behind each one.
Flags
Repeated complaints about one product, requests that need a person, messages waiting too long.
You decide
Refunds and anything promised to a customer.
Watches
Indexing, page titles, redirects and the pages that bring in search traffic.
Flags
Pages dropping out of the index, broken redirects, products with missing metadata.
You decide
What gets published.
We start from your store: which systems hold the data, who owns each access, and what every agent is allowed to see.
Each agent gets one job and a clear definition of done. A narrow task is easier to test and easier to trust.
The agent starts with read access. We compare what it reports with what you know is true, before it can change anything.
Every action that changes something gets an approval step. Together we decide which actions run alone and which wait for a person.
You receive the setup, the instructions, the list of accesses and a way to review what the agent did, so everyone knows who is responsible for what.
OWASP names excessive agency (too many tools, too many permissions, too much autonomy) as a risk for AI systems, and its AI Agent Security Cheat Sheet calls for human approval on high-impact and irreversible actions. Our approach follows the same principle. More in AI agent security for Shopify.
noprob works every day with AI agents built on Claude Code, and this site is developed and maintained with agents. We bring that day-to-day practice to your store. For the thinking behind the three forms, read our guide to AI agents for Shopify.
There is no price list, because the work depends on your store: the data, the access and the task. We define scope and cost on a call, after we have seen your store.
No. A chatbot answers from the text it was given. An agent has a goal and tools on your store data and chooses its next step from what it finds. We also tell you when a simple workflow does the job better, because the simplest form that works is the right one.
Not on anything that cannot be undone. Refunds, discounts, price changes and promises to customers wait for a person. Agents start read-only, and together we decide which actions, if any, run on their own.
We build on Shopify first. If your store runs on another platform, tell us on the call and we will say what is possible on your setup. If you are thinking about moving to Shopify, that is a separate project: the Shopify Launch Sprint.
The AI Accelerator is a 30-day program that finds and ranks the AI opportunities in your store. This page is about building and integrating: an agent in your store, or the whole store set up for agents. They fit together, and you can do either one without the other.
A call to look at your store, access to the systems the agent will use, and one person on your side who owns the outcome. We handle the setup, the build and the handover.
The one where your team spends the most repetitive attention: usually customer support, reporting or stock. We pick it together on the call and start with one task.
On the call we look at your store, pick the first task and tell you which of the two ways fits. No template, no package: a plan for your store.
Want the background first? Read AI agents for Shopify.
