Two AI agents replaced my marketing team

I've hired a lot of marketers over the years. Some great. Some average. All of them had limits. They forgot things. They needed managing. They stopped improving the moment they got comfortable.

My OpenClaw and Hermes agents don't do any of that. They run every morning before I wake up. They get better every day. They cost less than one month of a junior hire.

Here's why I'd take them over the vast majority of marketers I've ever worked with.

One agent isn't enough. You need two.

Most people pick one agent and try to make it do everything. That breaks. Different jobs need different wiring.

Hermes is the brain. Fast. Self-improving. Learns from every session. After 20 to 30 tasks in any one domain, it's measurably better than it was the week before.

OpenClaw is the hands. The execution layer. It runs on the frontier model (Opus, in our case) because it's doing the heavy lifting: writing the content, building the cold email infrastructure, calling the APIs.

The unlock is putting them together. Hermes catches what OpenClaw forgets. When OpenClaw goes down (and it does, we run it hard), Hermes restarts the gateway automatically. When a cron job breaks, Hermes fixes it. I used to do that myself. Now I don't.

That chain of accountability didn't exist before. One agent on its own gets lost. Two agents holding each other accountable is a different category of system.

What this actually replaces

End-to-end SEO campaigns. Hermes scopes the analysis on a target site. OpenClaw runs the work on Opus, generates the content, pushes it through the ClickFlow API, and publishes. No human in the loop unless something looks off.

Cold outbound infrastructure. OpenClaw buys the domains, sets up the naming conventions, builds the sequences, sends the emails, optimizes the copy. Hermes monitors the crons and resurrects what dies.

This is two agents doing the work I used to need a small team for.

1 + 1 = 10 when they're paired right.

The piece most people skip: memory

None of this works without a shared brain underneath. We use Obsidian. Daily logs, shared decisions, every skill file the agents need to do the work, all in one place the fleet can pull from.

Garbage in, garbage out applies harder here than anywhere else. Light documentation, dirty CRM data, no playbooks for how your best people actually work, the agents will fail. Not because the models are bad. Because you didn't give them anything worth compounding on.

Record how your best people do things. Turn it into playbooks. The more you document, the stronger the system gets.

That's the part nobody talks about, and it's the part that decides whether this works for you or not.

Where it falls short

OpenClaw goes down under heavy load. Token costs add up the more you use it (and you will use it more). Open-weight models are still behind frontier on strategic work, so the bills don't fully go away. Security and permissioning matter the second you have multiple agents touching multiple systems — prompt injection is real and you need isolation between agents.

None of that is a reason not to do it. It's just the part the YouTube videos skip.

How to start

Pick one agent. I'd start with OpenClaw. Set up a chief-of-staff agent. Give it real work. Once you hit the ceiling on what it can do alone, add Hermes on top to hold it accountable and fix what it forgets.

Then grow the fleet from there.

If you want the full walkthrough, I break the whole thing down here: https://www.youtube.com/watch?v=N5L1C1STZkw

To building agents that out-execute the team you used to need,

Eric Siu