How To Start Automating Your Business With Hermes Agent

You do not need an AI agent that runs the whole business.

You need one that takes a repetitive handoff off somebody’s plate.

For example, a new creator emails an agency because they want to work together. Normally, someone opens Gmail, finds the useful details, checks the channel link, updates the sheet or CRM, and decides whether the lead needs a reply.

That is a good first job for an AI employee.

It can read the enquiry, pull out the useful information, add a clean record to the right place, and leave a human with one clear next step. It does not need to negotiate a deal, send pricing, or pretend to be your sales team. It just needs to keep a routine piece of work moving.

That is why Hermes Agent is interesting. It gives you a practical environment for building an agent around one real workflow, instead of another chat window that only gives advice.

Start With The Workflow, Not Hermes

The tool is not the starting point.

The workflow is.

Before you install anything, look for work that happens often, follows a pattern, and gets delayed when the team is busy. The best first jobs usually sit between two systems:

• An enquiry comes into an inbox and needs to become a CRM record.
• A meeting finishes and needs to become tasks.
• An invoice arrives and needs to be checked against the right information.
• A shared inbox needs sorting before people can answer it.

Then make the workflow small enough to explain in one sentence.

When a new creator enquiry arrives, extract the useful details, add them to our sheet, and flag anything unclear for review. Do not send a reply.

That is a proper starting point. It has an input, an action, a destination, and a boundary.

If you cannot explain the first job that clearly, the agent will not be clear either.

What Hermes Agent Gives You

Hermes Agent is an open-source agent from Nous Research. It has a desktop app as well as a command-line interface, and the same agent setup can be used across those surfaces.

The useful bit for a business is not that it looks like a chat app. The useful bit is that you can give an agent a role, instructions, tools, skills, and a schedule.

So rather than creating a vague “business assistant”, you can make the first agent specific:

You are an operations assistant for a small agency. Review new creator enquiries, extract the important details, update the creator CRM, and flag anything that needs human review. Never send commercial replies without approval.

That is much closer to how you would brief a new team member.

Hermes has profiles and scheduled jobs as well. That matters because useful automation is rarely a one-off prompt. It is more like: “Check this every weekday morning,” or “When this appears, prepare the next action.”

The official Hermes desktop guide is the right place to check the current installation and setup options. These tools move quickly, so do not build your cost or security assumptions from an old video or blog post.

Use A Safe First Example

The Gmail-to-Google-Sheets example is a good one because it is useful without being risky.

The agent does four things:

1. Looks for a relevant new enquiry.
2. Pulls out the name, email, channel link, and a short summary.
3. Adds that information to the right row in a sheet or CRM.
4. Marks anything unclear as “needs review”.

That is enough to test whether the agent can understand the request, use the tools, and update the right place.

It is not enough to cause damage if it gets something wrong.

That is the point. Your first workflow should be useful, visible, and easy to correct.

Set The Rules Before You Connect The Tools

An AI agent becomes useful when it can work where the work happens. But access needs rules.

You would not hire someone on Monday and give them permission to send quotes, issue refunds, and change every customer record without any supervision. The same logic applies here.

For a first version, I would normally let the agent:

• Read and classify incoming information.
• Draft replies or summaries.
• Update low-risk internal records.
• Create a task for a person.

I would normally make it ask first before it:

• Sends a commercial message.
• Changes a price or accepts a deal.
• Handles a complaint, refund, or sensitive request.
• Acts when information is missing or contradictory.

That is not making the agent less useful. It is what makes it trustworthy enough to keep using.

Connect Only What The First Job Needs

In the video, I used Composio as a connector layer between the agent and the business tools. A connector is useful because it can give an agent access to an inbox, a sheet, a calendar, or a CRM without you building every integration from scratch.

But do not connect everything because you can.

If the first job is email to CRM, connect the inbox and the CRM. That is it. The smaller the permission surface, the easier it is to understand what the agent can do and to troubleshoot when something goes wrong.

Before you schedule anything, test one simple action manually:

1. Can the agent see the right email?
2. Can it extract the right details?
3. Can it update the correct columns or record?
4. Can you see what it did afterwards?

If any answer is unclear, do not add more automation yet.

Test The Boring Parts On Purpose

The interesting demo is not the agent finding a perfect email and doing everything correctly.

The useful test is the boring, messy stuff:

• An enquiry with a missing channel link.
• An email that looks like a lead but is actually a newsletter.
• A duplicate contact.
• A creator who asks a question the agent should not answer.

This is where you learn what the process really needs. You might need a duplicate check. You might need a “do nothing” rule. You might need the agent to draft a reply but never send it.

That is normal. You are not trying to prove that AI is magic. You are training a worker around a real process.

Expand Only After The First Job Works

Once the basic workflow is reliable, then you can make it better.

Maybe it adds a simple priority score. Maybe it checks whether a lead has been answered. Maybe it drafts a reply using the agency’s tone. Maybe it posts a summary for the team each morning.

But the order matters:

1. One job.
2. One definition of done.
3. One review loop.
4. Then the next responsibility.

That is how you build an AI employee without creating a second job just to manage it.

Final Thought

Hermes Agent is useful because it helps move AI from “something I chat to” into “something that can help inside a workflow.”

But the value is not the app on its own.

The value is finding the first handoff that is repetitive enough to delegate, safe enough to test, and important enough that your team will feel the difference.

Start there. Make it useful. Let a human approve the things that matter. Then improve it over time.