Marketing is entering a new phase. It’s not about prompts. It’s about systems. After watching Marketing Against the Grain, I’m convinced the winners won’t be the loudest creatives. They’ll be the best system builders.
My view is simple: AI is only as good as the structure that guides it. Tools are cheap. Systems compound. That’s the edge.
The Case for Systemic AI
Kipp Bodnar and Kieran Flanagan have been hammering this point. Their approach isn’t glam. It’s practical. It’s about an AI content team that learns, runs, and improves itself.
“I give Claude Code 51 of my Substack posts and in 5 minutes it told me exactly why some of my content works, why some of it doesn’t and then it generated an infinite number of new ideas that map to my winning formula.”
That line stuck with me. Pattern detection. Feedback loops. Automatic ideation tied to what actually performs. That’s not AI hype. That’s a production system.
The structure they laid out has 11 skills across five layers. Audience research. Style modeling. Talking point extraction. Lookalike idea generation. Content enrichment. Then the kicker: a review loop that updates the whole stack each month based on real results.
“Most people stop here… I capture performance data and every month I run a review and it actually makes the skills better.”
As someone who’s built digital businesses since dial‑up, I’ll say this bluntly: feedback loops separate pros from tourists.
What They Get Right
Several parts of their approach map to how serious operators work.
- Audience profiles that include language do’s and don’ts, pain points, and validation hooks.
- Writing styles built from real output, per platform, not generic “voice.”
- Talking points mined from Reddit, X, and your own work—then tagged as data nuggets, stories, or spicy takes.
- Lookalike idea generation that clones your winning patterns, not random trends.
- Post enrichment with case studies, data, and hooks designed for each channel.
Each piece connects to performance. That’s the point. If it doesn’t learn, it dies.
The Hard Truth About Roles
The show also offered a sharp prediction on where jobs are heading. It’s not comfortable. It is honest.
“Your job title marketer is split in two in 2026… go-to-market operators who run systems—and everyone else who is still waiting for engineering tickets.”
I’ve watched this split happen in crypto, social, and SaaS. Operators who think in flows and handoffs do more with less. Those who wait for tools or prompts fall behind. If that stings, good. It should.
My Advice If You’re Serious
I’ve shipped products, newsletters, podcasts, and trainings for decades. Here’s how I’d put this into action fast without drowning in complexity.
- Define one audience profile per main channel. Keep it living and tied to real reactions.
- Create platform-specific style cards. X is not LinkedIn. LinkedIn is not Substack.
- Feed your top 30% posts into a “lookalike” engine. Clone your own hits, not someone else’s brand.
- Mandate enrichment. Every draft must add a data point, story, or example before it ships.
- Build a simple performance log. Review monthly. Kill what doesn’t move numbers. Double down on what does.
The explainer here is key: these steps form a loop. You make. You measure. You adjust. Then you repeat.
Counterpoints, Answered
“This is overkill.” No. Random acts of content are the real overkill. Systems cut waste.
“My team isn’t technical.” You don’t need code to think in flows. You need clarity on inputs, outputs, and handoffs.
“Won’t everyone do this?” Most won’t. They’ll try one tool, quit, and blame AI. Consistency wins.
Where I’d Push Further
I’d add two lanes. One: a fast lane for daily testing on X articles and short videos. Two: a slow lane for deep research posts with original data. The system should treat them differently. Different hooks. Different lead-ins. Different review windows.
I’d also build a “failure finder” run before launches. Feed the whole plan to the model and ask for every way it could flop. Fix the top three. Ship.
Final Take
Marketing Against the Grain is right to make this about systems, not stunts. The message is clear. Stop chasing prompts. Start building processes.
My call to action: pick one channel and one persona. Stand up a mini version of this stack in a week. Measure for 30 days. If the work improves, expand. If it doesn’t, adjust the loop, not the tool.
AI won’t save you. A system will.
