These Hermes AI Agents Automate His Email Growth (Copy This)

· AI Rabbit Holes

Drew Carr went from zero to a thousand email subscribers in 80 days using Hermes AI agents and no ad spend. Here is exactly how the system works.

How Hermes AI Agents Work for Marketers

Drew runs a cold outreach machine that finds leads, drafts replies, and posts in Facebook groups while he does other work. He walked through the whole thing on AI Rabbit Holes.
Want to build outreach systems like this yourself? My Claude Code Skills Stack gives you the skill files and automation templates to start fast. Drew explained the difference between the tools clearly. Hermes and OpenClaw are the car. Claude Code and Codex are the engine underneath. The engine does the heavy lifting, but the car gives you doors, windows, and integrations so you can actually drive somewhere. That framing matters. An engine alone needs you supervising almost every step, which is closer to how Claude Code agent teams run. Hermes wraps real-world app connections around that engine so it runs autonomously.
Hermes AI agents cold email diagram showing find businesses, clean list, and Claude fit-check steps
Drew's cold email workflow: find businesses, clean the list, then let Claude check fit before any send.

Hermes vs OpenClaw: What Drew Actually Picks

Pick the wrong agent and you spend your week fixing version updates instead of getting subscribers. Drew has run both, so his answer is worth listening to. OpenClaw is the Honda Civic that tries to integrate with everything. It was first to market and carries the most integrations, though I have written before about why OpenClaw frustrates a lot of users. Hermes is simpler, but it has built-in memory and a learning loop that improves the more you use it. Asked which one he would keep if he could only run a single agent for the next 12 months, Drew did not hesitate. Hermes. It breaks less, the memory keeps it sharp, and it handles version updates without constant handholding. OpenClaw breaks a lot more. One detail people miss: Anthropic banned Claude subscriptions on agents like these, so Drew runs Hermes on Codex in the back. That is OpenAI's $20 a month plan powering the whole system.

The Cold Email System Behind the Subscriber Growth

You have heard that cold outbound lands your first customers. The hard part is doing it without burning hours on cleanup and verification. Drew's pipeline runs in clear steps. He pulls business lists from a tool like AI Ark or Apollo. He cleans those lists through Million Verifier so only real, working addresses survive. Then an LLM like Claude reads each company and keeps only the ones that genuinely fit his offer. The contacts get sorted into campaigns and stored in a database. Drew uses Turso, though Supabase works the same way. Here is the honest part. Drew still writes his own emails. He might ask Claude for a draft, but the actual copy is human. Google and Outlook are filtering hard to keep inboxes human to human, so robotic AI copy gets flagged. The automation handles the grunt work around the writing: warming domains, verifying addresses, moving leads through the pipeline. Prefer to run agents like this without Hermes? My guide on Claude Code AI marketing agents covers a similar approach.

Scraping Facebook Groups With Hermes AI Agents

What if you could drop helpful comments in the right communities every day without sitting there yourself? That is the second system Drew demonstrated live. He controls Hermes from Telegram on his phone. The actual browser automation runs on a separate machine, an old laptop that stays connected. That separation matters. You do not want this running on your main work device chewing up resources every time you close the lid.
Hermes AI agents posting to a Facebook group via Telegram control and a separate automation machine
Drew controls Hermes from Telegram while a separate machine runs the Facebook outreach hands-free.
The skill itself is a markdown file plus a few scripts. Drew made a smart security point here. LLMs are probabilistic, so let them handle judgment calls like whether a post is worth commenting on. Deterministic tasks, like opening the browser and scrolling, should run as plain code. More code means fewer chances for the agent to go off the rails. The goal of the workflow is simple. Hermes finds a relevant post in a Facebook group, then sees whether his business ClawDrop fits as a link inside a genuinely helpful comment. That is how Drew turns group activity into email subscribers, and he ran it daily to hit a thousand.

Keeping a Human in the Loop

Here is where most people get burned. They hand the whole job to an agent and trust output they cannot check. Drew stays involved on purpose. Hermes drafts each reply based on his real history, since he talks to it constantly and it remembers his past problems. He reads the draft, confirms it makes sense, then approves the post.
Hermes AI agents drafting a Facebook group reply for human approval before it posts
Hermes drafts the reply and waits for a yes before posting, so Drew approves every comment.
You can flip it to auto-post once you trust the replies. Drew's advice is to earn that trust first. Train the agent in your voice until the drafts are consistently good, then loosen the leash. His warning about understanding your own workflow first is the real lesson: hand off a process you have never run manually, and you will get slop you cannot even spot as slop. For more breakdowns like this one, watch the rest of the AI Rabbit Holes interview series where guests show their real systems on screen.

Ryan's Final Thoughts

Hermes is not magic. It rewards people who already understand their workflow and want to stop doing the boring parts by hand. Drew's thousand subscribers came from a process he ran manually hundreds of times first, then automated with a human still checking the output. Start there. Learn the steps yourself, keep your hand on the wheel, and let the agent take the repetitive load. You can follow Drew on X for more of his systems.

Hermes AI Agents FAQs

What are Hermes AI agents?

Hermes AI agents are autonomous agents built by Nous Research that run real-world tasks from start to finish. Hermes wraps an engine like Codex or Claude Code with integrations and persistent memory, so it can browse, post, and manage outreach on its own with less human input than a raw coding tool.

Is Hermes better than OpenClaw?

For most users, yes. Drew Carr picks Hermes because it is more stable, remembers what it learns, and survives upgrades without much fixing. OpenClaw carries more integrations and came first, but it needs more handholding day to day.

How much does running Hermes cost?

Drew pays $20 a month for OpenAI's Codex plan, and that single subscription powers everything he showed. Because Anthropic blocked Claude plans on third-party agents, Codex is the practical backend right now.

Can Hermes AI agents really grow an email list?

Yes. Drew added a thousand real subscribers in about 80 days without spending a dollar on ads, using Hermes to comment in communities and run cold outreach daily. Those subscribers were real people he later talked to, not random scraped emails.

Do I need a separate computer to run Hermes?

It helps. The browser automation eats machine resources and needs to stay online, so Drew keeps it on a spare laptop rather than his primary computer. A Mac Mini, a Raspberry Pi, or a VPS also work for keeping the agent always on.

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