AI OS × E-commerce

I build the AI OS that runs a webshop’s marketing.

An operating system for your marketing work: it knows your business, runs the routines on a cadence, and you approve at the gates. Built on real client work, not demos.

Nick van der Blom
nick_vdblom operator in the loop:
approves at the gates_
Nick van der Blom
The thesis

Every office job is becoming an operator job.

The expert stays. The grind moves into an operating system. I think most office work will soon happen inside an AI OS: you bring the judgment, the system does the repeatable work and knows your business. It runs on three things.

expertise /

The operator

Your knowledge of your field is what makes the system good. The OS amplifies it; it never replaces it.

cadence /

Autonomous routines

The work runs on a schedule: weekly checks, monthly optimization, quarterly strategy. Not when someone remembers.

context /

Business context

The OS knows your goals, margins, and guardrails: what good looks like for your business, written down.

I’m testing that thesis where I know the terrain: e-commerce marketing ↓

The OS runs for
Doorax Groeigoed.com Online Plastics Group Quality Heating bpost Perfect View Windows
And my own products, built end to end with AI: Luvelano Guide2Japan.com
What I build

One OS. The routines do the work inside it.

autonomous-ads /

Ads routines that manage themselves

Weekly checks, monthly reviews, budget shifts and reporting, executed by agents inside fixed guardrails. Trust earned one supervised run at a time.

seo-pipelines /

SEO and content pipelines

From crawl to keyword clusters to a rendered report: repeatable pipelines that turn search data into decisions, the same way every time.

command-center /

Where the operator works

SEO, ads, and reporting connect in one place, with the KPIs visible automatically. The OS advises or adjusts; the operator approves at the gates.

€100k+/mo

Ad accounts run by the OS on a weekly, monthly and quarterly cadence. No human at the keyboard.

2 gates

Human approvals per published piece. The operator decides; the OS executes everything in between.

18 agents

Running one travel platform end to end: research, writing, translation, and QA.

About

From marketer to OS builder.

I’ve run performance marketing for e-commerce brands for years at my agency, OnestoMedia: ads, SEO, and the reporting grind that comes with them. Somewhere along the way I stopped doing the repetitive work and started building systems that do it.

Not everything worked. Early on I let an agent draft ad copy unsupervised and it invented a product claim. That lesson became the foundation: guardrails first, autonomy second, earned per task.

Today those systems have grown into one operating system: it reviews ad accounts, renders SEO reports, and runs an entire travel platform. I think every office job is heading the same way. The expert stays, the grind moves into the OS, and the job becomes operating it.

I share the builds, the numbers, and the failures along the way: how to brief AI for better designs, what each new AI feature changes for your store, and the realistic path to operating a whole webshop this way. Whether you own the shop, manage its marketing, or write its product pages.

Next step

Want an AI OS behind your shop?

No pitch deck. Just a conversation about what already works, what could run on a cadence, and where you stay the operator.

Book a call →