AI native marketing | On-demand course: Automate experiment ideas generation from research
Map a marketing workflow, then build it to run on AI.
Build a workflow that turns research data into test ideas: a set of Claude Code skills and one command that runs them, saved to your own GitHub repo.
- Map any marketing workflow and mark where AI runs and where a human stays
- Turn each AI step into a reusable Claude Code skill
- Chain your skills with one command so the workflow runs end to end
- Leave with a GitHub repo containing your skills and the command that runs the workflow end to end
- Rebuild any other workflow the same way after the session
We are working on an on-demand version of this workshop.
It will be available soon as part of the AI Native curriculum.
Trusted by marketers at
Meet your instructors:
Award-winning experimentation lead. Optimized 50+ brands including Bol, Vodafone, eBay, RTL, Rabobank and Online Dialogue. Taught 25k+ students.
Two things stop marketers from delegating to AI: workflows built for humans, and outputs they cannot trust.
Most teams have added AI steps to processes that were never designed for it. Speed goes up. The structure stays broken.
The second gap is output trust. Generic-sounding copy, hallucinated stats, and brand voice that drifts on every run drag marketers back into execution. This is a workflow architecture problem.
This workshop covers both. You leave with a working workflow you built yourself, a GitHub repo of Claude Code skills and a command that runs it end to end, plus the judgment to know where AI should run without you and where a human check is non-negotiable.
Part 01: Map the workflow and find where it stalls
Before you build anything, you map the workflow honestly: every step, who owns it, which tool does the work, and where it stalls or waits. The messy version is the useful one.
- How to map a workflow as steps, owners, and tools
- Where work stalls, waits, or gets handed off with no clear quality bar
- Outcome: An honest map of the workflow you are about to build
Part 02: Decide what AI runs and what stays human
You draw the line on every step: which ones AI can own end to end, which a human has to keep, and what each AI step must produce before the next one runs.
- How to decide which steps AI owns and which stay human
- What each AI step must output before the next step can trust it
- Outcome: A redesigned workflow with AI and human steps marked
Part 03: Turn each AI step into a Claude Code skill
You build the AI steps as skill files in Claude Code, one per step, each saving its own output so you can see exactly where a run went wrong.
- How to write a Claude Code skill that mirrors how you do the step
- Why each step saves its own output file before the next one runs
- Outcome: Working skill files for the AI steps in your workflow
Part 04: Chain the skills into a research-to-test-ideas workflow
You chain your skills with a single command so raw research data goes in and test ideas come out, running end to end without babysitting each step.
- How one command chains skills into a workflow that runs end to end
- How to turn messy research inputs into testable ideas
- Outcome: A research-to-test-ideas workflow that runs on one command
Part 05: Ship it to GitHub and repeat it for any workflow
You push the finished workflow to a GitHub repo you own, then learn the pattern well enough to rebuild any other workflow the same way after the session.
- How to store and version a working workflow in your own repo
- The repeatable pattern for rebuilding any workflow as AI plus skills
- Outcome: Your skills, command, and workflow live in a GitHub repo, plus a method you can reuse
What you need to make the most of the workshop?
- A free Miro account
- A free GitHub account
- Pro account on Claude preferable (alternatively: Codex)
- A Firecrawl account
- CXL will provide access to any additional tools needed for the session
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 29 September 2026.
Get set up for AI native workflows
Build your AI workspace: VS Code and Claude wired together, plus your first Claude skill running on your own work.
Marketing Brain
Build a GitHub context repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP.
Campaign engine with a quality gate
Build a workflow: one brief in, a full campaign out (emails, social, sequences), with sources and a brand voice check.
AI visibility and AI-era measurement
Build a share-of-model baseline: how often ChatGPT, Gemini and Perplexity name you, AI traffic in GA4, pages to write.
Marketing insight and reporting agent
Build an agent that reads your ad platforms, GA4, CRM and email, then posts a weekly summary: what changed, what to do.
Company Marketing Brain
Build the context system customized for your team: one versioned source every AI tool draws from, plus a rollout plan.
Build one AI native workflow every week that you use at work.
You build a context brain your AI draws from, a campaign engine with a quality gate, an AI search visibility baseline, a weekly reporting agent, and the team version of the brain.
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
Need some more convincing?
Listen to this agency owner explain why he trains his team at CXL
Keep up with AI native marketing tactics and workflows.
Subscribe to our weekly newsletter.
We find and report on AI native marketing case studies, success stories, and playbooks that are working out there right now.
Subscribe to our weekly educational newsletter