4 Workflows You Can Use Today With Hermes Agent Prompts

I give you four prompts that you can start using today to automate your business with your Hermes agent system. So without squiroo, let's build.

This is all about automation. This is all about saving you time. Everything here comes from months and countless hours of testing, building roughly 30 agent profiles, and running a multi-agent team in public. I'm not an AI expert. I'm building in public and sharing what actually works.

All four prompts are free to copy and paste. Just go to clearmud.ai, click Resources up top, and head to the Hermes section. The video prop with every prompt is waiting there for you to grab at your leisure.

A quick note before we build

Every workflow below has one principle running through it: keep a human in the loop. I think it's very irresponsible of us to allow our agents to deploy code to production without reviewing it ourselves. Always be that final gate. Don't just blindly release it to the web, because you're just contributing toward the slop factory.

With that said, here are the four.

Workflow 1: The Daily Business Watchtower (Morning Brief)

I know the brief is not the most exciting workflow, but it is honestly very important. It lets you configure a scheduled cron and eventually tie a skill to it, so your agent, or agents for that matter, does research overnight and hands you a report ready to read first thing in the morning with a cup of coffee.

I personally read two to three briefs every single morning. It saves me so much time from having to browse things myself, get distracted, squirrel, which I like to call it, and waste 10 to 15 minutes doing something I wasn't supposed to be doing when I was simply doing research. The brief removes that temptation entirely.

Here's the copy-paste prompt:

> Hermes, create a daily business brief for my business. Check the following sources. Give me what changed, top priorities, risks or blockers, opportunities, decisions I need to make, recommended next steps. Separate "for your information" from "needs action."

That separation matters. A good brief tells you instantly what is just FYI versus what actually needs you to act.

### A real life example: Oracle

It's easy to walk through the prop, but it's another thing to give you a real life example. So I'll show you.

Meet Oracle. Listen, I'm a big Matrix fan, so she's named after the Oracle from the Matrix universe. Every morning she sends me a morning operator brief, and it evolves on a daily basis. Anything I don't like, anything I want to tweak, I talk to her in real time and say, "Hey, please adjust your cron." Eventually I'm going to have a skill tied to it, but we're still in the early stages. Right now I'm just letting her use her reasoning, based off GPT 5.5 high reasoning, to give me everything I asked for, and then I fine-tune the output.

The top research signals come back with everything pinpointed to a source URL, so I can verify a claim rather than trust it blindly. That source citation is the part I'd most encourage you to keep.

Oracle started as research. Now she also does market research, generates ideas, and coordinates with my engineering department architect. That partnership has already produced three overnight builds: a micro-SaaS idea, an open-source idea, and an upgrade to an existing product of ours.

Workflow 2: Turn One Idea Into a Full Content Campaign

The second workflow takes a single product idea and turns it into a complete campaign, positioning, content pillars, and ready-to-use copy, without you prompting each piece by hand.

The prompt is simple:

> Hermes, turn this idea into a content campaign.

Then you can one-up it and ask the agent to generate the finished copy pieces too.

### A real life example: Neo and the Prompt Browser campaign

I handed this to my executive assistant Neo and asked him to turn our free open-source tool, Prompt Browser, into a campaign. Prompt Browser extracts prompts from any YouTube video. It pulls spoken prompts directly through voice-to-text, and for prompts shown on screen it surfaces the timestamp. You can browse everything without signing in; sign-in only saves prompts. It's still in beta.

Here's what the agent produced. The positioning: "Stop wasting time watching videos. Get the prompts instantly." It nailed the core frustration too, tutorial fatigue. People are sitting through 18-minute AI tutorials just to find one useful prompt buried at minute 12.

From there it built out content pillars:

• The pain: tutorial fatigue
• The product: prompt extraction
• The outcome: faster building
• The behavior: build your own prompt library

Paste the video. Get prompts. Start building.

### The workflow surfaced a gap

Here's the build-in-public part. During the demo, the campaign request bypassed Mouse, my marketing lead, because that department wasn't actually built yet. So that's something I need to fix on my end. The workflow itself exposed exactly where my agent org still has a hole, which is honestly a feature, not a bug.

Workflow 3: The Overnight Business Improvement Build

The third workflow lets your agents improve your business while you sleep, with planning, execution lanes, checks, and a morning handoff.

But this one comes with the firmest rule of the whole video: keep it local only and human-gated. Never let an agent deploy self-built code to production without your review. The overnight build does the planning and the work, then hands it to you in the morning. You are the one who decides whether anything ships.

This is the same discipline behind Oracle's three overnight builds. They get generated and prepared, but a person reviews before any of it touches production. Always be that final gate.

Workflow 4: Run an Overnight Local Business Improvement

The fourth workflow continues that overnight, local-only theme, running improvements against your business on your own machine before anything goes live. It's built on the same principle as the rest: do the heavy lifting overnight, plan and execute in isolated lanes, and hand the result to a human in the morning for the final call.

Why I built Hermes for a "Product OS"

One thing I learned along the way: match the tool to its strengths. My multi-agent system is for front-facing projects, products, and revenue-generating ideas. It does not handle my internal day-to-day ops, the overarching AI industry news, or my Clear Mud YouTube updates and analytics. That all still happens on my OpenClaw setup.

Hermes, though, kept showing its strengths in creating what I'm calling a Product OS, handling all our front-facing projects and products, whether they're open source, paid, or everything in between. So that's where I pointed it.

Start building today

That's four prompts you can start using today: the daily business watchtower, the idea-to-campaign pipeline, and two overnight local improvement builds. I hope I've shown you enough sauce here to inspire you to build your own multi-agent team.

Grab all four prompts free at clearmud.ai, under Resources, in the Hermes section.

My name is Marcelo. This is Clear Mud, and clarity matters.

Watch the full video: https://www.youtube.com/watch?v=-QV92g-qJ5c