Connect the brand
Research the market
Generate the assets
Review before it ships
Run and feed back
Context & problem
Ask an e-com founder where their marketing actually happens and you get a list of tabs: an ad library here, a page builder there, a spreadsheet for product research, a doc for angles, a freelancer for the funnel. Every campaign starts by re-assembling that chain by hand.
The tools are not the problem. The handoffs are. Research findings never make it into the landing page. The quiz funnel does not know what the ads promised. Each step loses context, and the founder is the glue.
The Marketing OS is my answer: the recurring marketing processes of an e-com brand, wired together as one system. Not a suite of features, a set of workflows that hand context to each other.
How it works
The diagram above shows the flow; here is what each step does. Deterministic stays deterministic, and an agent only shows up where judgement, language, or synthesis is actually needed.
- 01Deterministic
Connect the brand
Products, brand assets, and tone go in once. Every workflow downstream reads from the same source, so nothing has to be re-explained per campaign.
- 02Agent
Research the market
Creative and product research runs against real market data, competitor ads and category signals, and produces angles a team can act on. Interpretation work, so a model does it.
- 03Agent
Generate the assets
Landing pages and quiz funnels get generated in the brand's look, using what the research found. The angle from step two becomes the page, not a note in a doc.
- 04Deterministic
Review before it ships
Nothing goes live on its own. The operator reviews and publishes. The system prepares decisions, people make them.
- 05Deterministic
Run and feed back
Published assets and their results stay in the system, so the next campaign starts from what worked instead of from zero.
Checkpoints & logging
The operator gate sits before publishing, on purpose. Pages and funnels go out under the brand's name, so the system drafts and a person releases.
Each workflow logs what it read and what it produced. When a generated page looks off, you can trace it to the research and inputs that shaped it instead of guessing.
Stack — and why
The product itself is Next.js on Vercel, with Claude doing the research and generation work because those steps live in language and judgement. Orchestration between workflows runs on the same pattern as every system I build: deterministic pipes, model only where interpretation happens. That is also why it can grow one workflow at a time without a rewrite.
Results
Running live · metrics published here as run data accumulates, not quoted before they can be verified.
It is live and customers pay for it. That is the number I care about at this stage, and it is the honest one: revenue, not a waitlist.
Every workflow in it started as a manual process I had already run for myself or a client. The OS is those processes made repeatable, which is why new modules keep coming from real work instead of a roadmap document.
Want your marketing processes to run as a system?
The audit is the fastest way to find out which of your workflows belong in a system like this. 30 minutes, and you leave with an opportunity map either way.