AI marketing systems
AI Systems That Do
The Repetitive Half
Automations built on the stack you already pay for, aimed at the manual steps between having an idea and shipping something. Not a replacement for your team, a removal of the parts they hate.
Proof
What automation has actually returned
527%
MoM growth
Month-over-month YouTube viewer growth for Copy Chief, driven by a Custom GPT content pipeline.
80%
less editing
Editing time cut on the same pipeline, which is what made the publishing cadence sustainable.
45%
less friction
Operational friction removed from Copy Chief publishing SOPs and funnel operations.
The problem
Most marketing teams are bottlenecked on production, not ideas
The plan is rarely the constraint. The constraint is that turning one recorded call into a blog post, five shorts, three emails and a landing page takes a week, so it does not happen.
Automation is worth building at exactly the point where a task is repetitive, rule-governed and already understood. Automating a process nobody has agreed on yet just makes the disagreement faster.
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Custom GPT pipelines trained on your own material, not generic prompts
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Content repurposing from one source asset into every channel format
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Documented SOPs so the system survives the person who built it
How it works
Map the process before automating any of it
Every engagement starts by writing down what actually happens today, step by step, including the steps people do not admit to. That document is usually where the savings are found, before any tooling is involved.
Then the repetitive steps get automated, the judgement steps stay human, and the handoffs between them get made explicit.
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Process mapping first, tooling second
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Built on tools you already license where possible
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Handover documentation so your team owns it afterwards
What gets built
Where these systems usually land
Scoped and priced before anything is built, from $5,000 to $50,000.
Content
Content production pipelines
One source asset becomes every channel format, on a schedule rather than in bursts.
Catalogue
Catalogue and data automation
Bulk product, image and metadata work. The VTM (UK) build carried 1,546 catalogue items.
Ops
Marketing operations SOPs
Documented, testable processes so campaigns stop depending on one person remembering.
How engagements run
Scoped and priced before anything starts
Every engagement is quoted against a written scope, so the number does not move once work begins. Projects run $5,000 to $50,000 depending on page count, integrations and how much of the content already exists. Most land in 6 to 12 weeks.
The first two weeks are usually the least glamorous and the most valuable: working out what is actually being sold, to whom, and what the current numbers say. Skipping that is how agencies end up delivering something beautiful that does not move revenue.
You work with me directly. There is no account manager relaying briefs to a production team, which is the main reason smaller engagements can move quickly without losing detail.
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Fixed scope and fixed price agreed before the first design
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Weekly written updates, not status meetings
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Analytics and tracking wired in so results are measurable afterwards
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Handover documentation so your team can maintain what ships
Why it works
Evidence first, opinion second
Most agency proposals are built on taste. Someone senior looks at your site, says what they would change, and the invoice follows. That is fine when the taste is good and expensive when it is not, and either way there is no way to tell in advance which one you bought.
The work here starts from what can be measured: what the analytics already say, what the buyers say when asked directly, and what happened the last time a similar change shipped. On the Copy Chief Escape Velocity campaign that meant interviewing working copywriters before designing a single ad, because that audience writes direct response for a living and rejects generic creative on sight. Pain-point creative then beat benefit-led creative in testing, and the campaign averaged 55.03x ROAS with a 130.05x peak.
That is also why the numbers on this site name their campaign. A figure without its context is not evidence, it is decoration. Escape Velocity did 55.03x. The membership funnel did 31x across 215 paid subscriptions. Those are different campaigns with different offers, and quoting either one as a general result would be misleading.
The practical effect is fewer surprises. You see the reasoning before the design, the design before the build, and the numbers after launch rather than a report describing how well it went.
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Analytics and heatmap review before design decisions
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Direct buyer research where the audience is specialised
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A/B testing on message, not just button colour
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Every claim traceable to a named campaign
FAQ
Questions, answered
Do I need to replace my current tools?
Usually not. Most of what gets built sits on top of what you already license. Replacing a tool is a separate decision with its own cost, and it is rarely where the returns are.
Is this just ChatGPT prompts?
No. A prompt is one step. A system is the pipeline around it: where the source material comes from, what happens to the output, who reviews it, and what happens when it fails.
How long does it take?
Most builds run 4 to 8 weeks depending on how many processes are in scope and how clearly they are already documented.
What if my process changes?
That is why the process gets mapped and documented first. A system built on an undocumented process breaks the first time someone changes the process without telling anyone.
How do we start?
A twenty-minute call looking at what you have now. If it is a fit I send a written scope with a fixed price. If it is not, I will say so and usually point you at what would actually help.
Who owns the work?
You do, outright, on final payment. Files, source, accounts and documentation all transfer. Nothing is held hostage on a platform only I can access.
Do you work with clients outside Vancouver?
Most of the work is remote across Canada and the United States. Vancouver and BC clients can meet in person where that helps.
Find out what is worth automating
Bring your current process. Twenty minutes, an honest read on what would actually save time and what would not.
