AI native marketing | Live workshop: Campaign engine with a quality gate
Build the campaign workflow that checks its own output before you do.
Emails, blogs, social, enablement and sequences generated from one input, each traceable to a source and scored before a human sees it.
- Restructure a brief so a workflow can act on it without interpretation
- Build a brand voice profile from work you have published
- Score every asset with a matrix that rejects weak output and unsourced claims
- Decide where a human signs off and where the system runs alone
- Replaces: The generic first draft, and the reviewer who catches what AI made up.
Workshop date: Tuesday, 13 October 2026 | 4 PM CEST / 9 AM CDT / 2 PM UTC | 90 minutes
Includes 3 months community access
Trusted by marketers at
Meet your instructors:
4x’d efficiency & leads CXL’s growth, experimentation & product. Trained 25k+ marketers with 80+ courses, 4000+ blogs & playbooks.
Content Lead at CXL, focused on practical applications of AI in marketing. Trained 2000+ marketers from Unilever, Red Bull, Heineken and more.
Volume was never the bottleneck. Trust is. A campaign system you cannot trust at scale is just faster manual work.
In Wynter’s January 2026 panel of 100 B2B marketing leaders, the content and creative engine was the function they would most like to outsource or automate, named by 46%. The same research gives the reason they have not: it has to clear their quality bar first.
Most marketers can already generate ten variants in a minute. Very few can tell you which one is publishable, and fewer still have a system that decides it for them. That gap is why AI-generated campaign work keeps getting rewritten by hand.
You leave with the engine running on a brief of your own, a scoring matrix tuned to reject what you would reject, and an explicit line for where a person signs off.
Includes 3 months community access
📅 Tuesday, 13 October 2026 | 4 PM CEST / 9 AM CDT / 2 PM UTC | 90 minutes
Includes 3 months community access so you can keep building and get support after the session.
Part 01: Extract brand voice from published work
Adjectives do not constrain a model. You pull voice patterns out of the work you have already published and turn them into a check the system applies.
- Build a voice profile from published work: sentence shape, vocabulary, structure, and the things you never say
- Turn the profile into a check that scores a draft rather than describes an aspiration
- Outcome: A brand voice file and a working voice check
Part 02: Build the campaign workflow end to end
You build the engine itself. It starts with a brief the workflow can act on without interpretation, and ends with a full asset suite where every claim traces back to something real.
- Restructure a brief as workflow input, then lay out the repo so prompts and skills are versioned rather than pasted
- Wire the workflow: brief in, then emails, blogs, social, enablement, and sequences out
- Retrieve from the proof library you built in week one, so every claim cites a source
- Outcome: A full campaign generated from your brief, with citations
Part 03: Repurpose one finished piece into every channel
The highest-leverage input is not a brief, it is something you already published. You take one finished piece and let the system produce the whole channel set from it.
- Pick the source piece and mark what has to survive the repurposing intact
- Generate the channel set from that one asset, with format rules per channel
- Outcome: One published piece turned into a full channel set, voice-checked
Part 04: The scoring matrix, and what fails loudly
A gate that passes everything is not a gate. You define the criteria, hand the scoring to a model, and make unverified claims fail loudly instead of slipping through.
- Build a scoring matrix across voice, claim support, structure, and offer clarity
- Implement it as an LLM-as-judge rubric, then calibrate it against assets you would reject
- Make an unverified claim fail loudly and block the asset, rather than warn and pass it
- Outcome: A tuned rubric that fails the work you would fail
Part 05: Where a human has to sign off
The last question is the one most teams skip: which decisions never get automated, and how the system hands them back.
- Map the sign-off points: claims, pricing, positioning shifts, and anything customer-facing at scale
- Design the handback so a reviewer sees the flag, the reason, and the evidence
- Outcome: A documented sign-off model your team can follow
What you need before you start
- You should be comfortable with: running campaigns and reading your own performance data. No coding needed.
- You do not need: prior Claude Code, n8n or GitHub experience. Every build starts from a template.
- A paid LLM account, Claude Code preferred, plus free GitHub and Miro accounts.
- The Monday prep in the app, matched to your level by the quiz.
- Any other tool is explained live, with alternatives. You are not locked into one stack.
Two ways to build it: on its own on 13 October, or in the one-week sprint in November.
Take this workshop on its own on Tuesday 13 October. Or build it on Wednesday 11 November, as day 2 of the next AI native cohort: a one-week sprint with two more builds, a marketing brain and a reporting agent.
The next AI native cohort
One week. Three working workflows. Starts 10 November 2026.
Marketing Brain
One document every AI tool reads, so drafts start on brand.
Campaign engine
One brief in, a full campaign draft out, with sources you can check.
Reporting agent
A weekly summary of what changed and what to do next.
Build three AI native workflows you use at work, in a one-week sprint.
You build a marketing brain your AI draws from, a campaign engine that checks its own claims, and a weekly reporting agent.
This is what marketers said after our live workshops and courses
AI-Forward Marketing Executive
“I was in your workshop 12 hours ago. I already have a workflow live… I feel like a freaking WIZARD!”
Growth Marketer | MBA | Product Owner
“What a great session, and what an incredible week at CXL… what I enjoy the most is this:
Being around curious minds, leaving inspired to test, putting ideas into practice. having conversations that sharpen your thinking, asking (a lot of) questions, sorry, not sorry…
The SEO + n8n session gave me a lot to think about… honestly, I feel like a machine.”
AI/B2B Marketing Programs
“Officially CXL Certified in Redesigning Marketing Workflows for AI.
A great deep-dive into building AI into marketing the right way… rethinking the workflows from the ground up.”
PR & Marketing | MBA
“How is AI affecting the role of a marketer? I have seen this question asked a hundred times and rarely seen a credible answer. CXL ran a webinar this week that actually delivered one.
It had a bit of a cold shower effect, just data and a clear-eyed look at where things are.”
Growth Experimentation | 500+ A/B Tests
“CXL changed my life. I’m not exaggerating, it actually did…
I got so deep in the content that a year later, in a completely unexpected turn of events, I was hired by Speero. Boom. Easily a 50x ROI right there.
CXL doesn’t mess around. They prioritize quality over quantity to make a real impact on your career.”
Here is what other marketers said
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