Keven Elison.

“I would say I'm getting it back twofold or threefold or fivefold. I don't even look at what the cost is of this because I am getting so much in return.”

The before.

Keven has been marketing tech companies for 30 to 35 years. He is not a coder. He is 63. He had dabbled in workflow automation with Make and could see exactly where the world was heading, and he was not going to wait for it to arrive.

The stumbling block was the unknown. "I have a pretty good idea on the workflows and how to map that out, but translating that to a tool like n8n or building the modules and nodes and configuring them, that's something I needed to learn." He could map a process on a whiteboard better than most people half his age. The translation to nodes was a different skill.

35 years of marketing intuition, no n8n.

He had been pulled into the LinkedIn algorithm and was watching plenty of people post n8n agents. Building agents looked easy from the highlight reels. What he could not find was someone willing to teach the fundamentals before jumping to the flashy build.

There was also a self-doubt loop running underneath all of it. "I'm 63 years old and I've never been coding or never been doing anything that was, you know, this technical." Building the first agent was the test of whether the next ten years of his career was going to look like the last ten or like something different.

What we built.

Keven's first real build was the lead qualification workflow that anchors the early curriculum. Boring by design. He used it to learn each node, each configuration step, each common failure mode. He breaks things on purpose, which makes him a fast learner once he gets the right scaffolding to break things inside of.

From there, he built a full content management system. He took his content manager's seven-year workflow and rebuilt it inside n8n. Creative brief in, then keyword strategy, content calendar, AEO and SEO blog content, images for each blog, all dropped into the right Google Drive folders so the rest of the organisation can pick them up. End to end, in minutes, instead of the days or weeks an agency would take to ship the same job.

Content workflow rebuilt.

Alongside the content system, he started building an AI advisory board. RAG agents trained on the writings and decisions of business minds he respects, from Steve Jobs and Warren Buffett to Elon Musk and Sun Tzu. He started small with a handful, with a plan to scale it as a productised tool other operators can use. He is also planning the wider AI infrastructure for his org chart, mapping where MCP servers, RAGs and agents will live across the business.

"I'm building something here, that it's going to be good for my organization or good for, say, even for myself, I know it's going to be a marketable tool that others are going to want to use as well." That is the operator brain talking, not the n8n student.

The shift.

A workflow that previously chewed up days or weeks of agency time now runs in minutes. Keven's framing of the investment is the cleanest version of the ROI math anyone in the program has put on record.

I would say I'm getting it back twofold or threefold or fivefold. I don't even look at what the cost is of this because I am getting so much in return.

The bigger shift is identity. He is bringing 35 years of business experience to the build, layering it on top of the technical methodology, and producing agents that actually have judgement behind the prompts. Most operators are doing one or the other. He is doing both, which is precisely the gap most agencies are missing.

Identity reframe.

"People learn how to do prompts, but they haven't learned how to do it correctly. I'm lucky to have had 30 years of business experience which I can inject into these agents. Now I'm learning the fundamentals from you on how to build them right."

If you're going to want to be in the workforce in the future for any sustainable amount of period of time, you need to learn how to build agents.

Why this works.

Keven praised three things specifically: the patience to teach fundamentals before tactics, the iterative approach that ships v1 before adding bells and whistles, and the working agents being shared into the program as gifts. The last one matters more than it sounds. He learns by reverse-engineering working systems and breaking them. The mentorship gives him the working systems to break.