Stop randomly prompting and start building an AI-native system that will actually move the needle. We install an AI marketing system built on your context, your skills, and the tools your team already uses.
Working in week one
If any of these sound familiar, you already feel the pain.
01
VP marketing
"We are using ChatGPT and Claude, and the output is so generic that we end up rewriting most of it." It's just a first draft generator.
VP marketingDTC consumer brand, 60 people
Strong fitYou have the direction. The AI is producing average work because it does not have your business context yet.
02
Head of marketing
"I have the strategy but I don't have the people to execute. AI should help, and right now it is not really working."
Head of marketingB2B SaaS, 120 people
Most common voiceThe room we built the engagement for. A leader with the strategy in hand and the authority to commit the team's time.
03
CMO
"We did the AI training day and nothing changed. How are people actually using AI effectively?"
CMOMid-market services, 300 people
Strong fitTraining without a system does not stick. You need the system installed and owned by the team.
The engagement builds three layers underneath the team. They build the context unique to your business, the skills you need to execute and the connections required to make it a working system.
01
context.md
A persistent file of your business that goes into the AI every time. Brand, customers, positioning, voice, products, the work in progress. Built from interviews with the team and the source material you already have. Read by every skill, owned by the team.
02
skills/
Reusable skills for the work your team does most often. Briefs, campaign plans, launch comms, copy, research, analysis. Five to eight skills are built during the engagement, written against your context. The team uses them in real work that same week, and adds more after.
03
connections/
Wired into the marketing tools your team already uses. CRM, analytics, content systems, comms. So the output of the system lands inside the workflow, not in a separate window. No new platform to learn, no new login, no parallel stack.
Each week ends with something the team uses in real work the next day. No theory weeks, no awareness weeks, no decks waiting to be actioned later.
Week
01
Working sessions with the team. We pull the business context out of your heads, your docs, and your existing materials, and write the first version of your context layer.
Week
02
We map the team's recurring work and build the first set of skills against your context. The team starts using them on live work the same week, and we iterate from what they ship.
Week
03
We connect the system to the marketing tools the team already runs in, so the output lands inside the existing workflow. No new logins, no parallel stack, no platform to learn.
Week
04
The team learns how to add context, write new skills, and maintain the system. You leave with a working system you own, the know-how to extend it, and a 30-day plan for what to build next.
Most teams who land on this page are a fit, some are not, here's how you can tell.
✓
who we built this for
Most teams who book a call. Heads of marketing, CMOs, and marketing managers with authority to commit the team's time.
×
The polite no
If we are not the right call, we will say so on the discovery call and point you somewhere better.
AI workflows are evolving from well-structured prompts to well-structured systems. The teams that adopt a systemic approach today will compound their efforts and pull ahead of their competitors
I've spent the last decade inside in-house marketing teams and the agencies that serve them. Leaning into AI in recent years I saw the same pattern, the team is using AI ad-hoc, the output is generic, and the time saved gets spent on rewrites. marketingmarkdown is the system that closes that gap, installed in four weeks.
Background
In-house and agency, 15+ years
Writes
marketingmarkdown, weekly
Based
Sydney, working globally
Compare it to the cost of one additional marketing hire. The engagement pays back inside the first quarter on capacity alone, before counting the quality of the output.
Marketing managers and heads of marketing at companies of roughly 20 to 500 people. You have a strategy and you have OKRs. What you do not have is the people to execute against them. You have tried AI ad-hoc, and the output is generic enough that you end up rewriting most of it. This engagement is for that exact situation.
Workshops teach the team about AI. They do not change what the team produces on Monday. This is the opposite. We install a system the team uses in real work during the engagement, and the training is built around running that system. If your team has done a workshop and nothing changed, this is why.
Context is the persistent file of your business that the AI reads every time it does work. Brand, customers, positioning, voice, products, the live strategy. Without it, the AI moves to the average and the output is generic. With it, the output sounds like your business. Context is everything. Bad context, bad output.
The founder, end to end. Fifteen years in marketing, agency-side and in-house, across B2B SaaS, consumer brands, and services. No account team, no delivery layer, no handoffs. If you book a discovery call, you are talking to the person who runs the work.
That is a fine starting point. The engagement does not assume an existing AI practice. We start from your context and your work, and the team learns the moves on real outputs. If anything, teams without AI baggage move faster, because there are no bad habits to undo.
The system is a living asset. The business changes, the strategy changes, the team changes, and the system needs to keep up. That is why ownership and maintenance training are the entire fourth week. Optional ongoing support is available after handover for teams that want a hand on the wheel.
The team owns the system and knows how to extend it. Many teams take the 90-day plan and run it themselves. Some prefer an ongoing retainer for monthly skill additions, context maintenance, and a check-in cadence. There is no obligation either way.
A flat $5,000 keeps the decision simple and the engagement focused. Compare it to the cost of one additional marketing hire and the maths is straightforward. The team gets capacity, and you get an AI capability the marketing function owns. That is the trade.