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An AI agent that works when you don't.

I set up an AI agent with its own computer and its own logins. Your team messages it the way they'd message anyone else, and it gets on with the work across the tools you connect.

It gets better at the jobs you give it, and it runs on whichever AI model you choose.

Get in touch

What makes it worth having

It has its own computer, its own logins and a memory of how your business runs.

  • Closing your laptop doesn't stop it.

    It runs on a computer of its own. Brief it at 9pm and the answer is waiting in the morning. A job set for 6am Monday runs at 6am Monday, whoever is in.

  • Your whole team can message it.

    It lives in Slack, Teams, Telegram or another tool we connect, so anyone you've given access can brief it from their phone, one to one or in a group chat. They're all talking to the same agent, with the same memory.

  • It gets better at your jobs.

    It remembers your customers, your projects and the way you like things done, and a method that worked can be saved as a skill and used again. The tenth invoice run needs far less explaining than the first.

  • It doesn't wait to be asked.

    A Monday brief on what's overdue. A heads-up when a quote has gone a week without a reply. If nothing needs you, it stays quiet.

  • It uses websites the way you do.

    It has a browser and logins of its own, so it can work through the supplier portal that connects to nothing, or the booking system nobody has updated since 2011.

  • You're not tied to one AI company.

    It runs on a computer or server you control and works with Claude, GPT, Gemini or open models. Cheaper models can handle background tasks, and you can switch the main one as better options come out. For work that needs local processing, I can scope a model on your own hardware and show you which connected services still receive data.

Where an autonomous agent fits

An AI agent can be one step inside a workflow or a feature inside another product. This is a separate setup: it stays available, works across the tools you connect and takes different briefs over time.

An AI-enabled workflow

A lead arrives, it drafts the reply, and the draft lands in the CRM for review.

One job, wired up once. The trigger, the steps and the result are settled in advance, so it runs the same way every time without anyone asking. Quicker to get live, and for most jobs it's the right answer.

More on the simpler option

An autonomous agent

“Pull the outstanding jobs, summarise what changed and prepare the follow-ups.”

One brief can cover a range of related jobs. You ask in plain language, it chooses from the systems you have connected and decides the order, then comes back with the result or stops to ask. Predictable parts can still run as workflows; the agent handles the judgement and exceptions.

See how far it goes

Where it earns its keep

The work comes back regularly, crosses several systems and changes course depending on what it finds.

One setup can cover a range of related jobs without building a new workflow for each one. If the same steps work every time, a workflow is usually the better answer.

Its limits come from the tools, access and approval rules you give it.

You ask for one thing

“Check which overdue invoices need attention. Leave out anyone who has already confirmed when they will pay.”

  • Pulls overdue invoices from Xero every Monday
  • Reads each email thread before drafting anything
  • Leaves the customer who promised Friday alone, then checks Friday
  • Drafts the reminders due now
  • Sets disputed invoices aside for you
  • Leaves it alone when no follow-up is due
  • and any other steps agreed for the job

Back to you

A few drafts to check, and the one dispute that needs you.

Examples. Yours would run on whatever you already use.

I run both myself

I use OpenClaw and Hermes for real work. Each runs on its own computer.

Both have similar access to my tools and projects, including a browser for checking sites and working in web apps. I decide which projects each can see and which actions need my review.

I hand them jobs the way I'd hand them to someone on the team. Add a section to a site, make the change and bring it back for me to review before it goes live.

What I build these on

OpenClaw and Hermes are both open source and free to use, so the setup stays yours.

OpenClaw

Comes with a large public library of skills other people have built and shared, so a common job often has a starting point already. Its instructions, memory and skills are plain files you can open and read, so you can always see what it has been told.

Visit the OpenClaw site

Hermes

It teaches itself. When it works out how to do something, it writes the method down as a skill without being asked and uses it next time, so it gets quicker at your jobs the more you use it. For a bigger job, it can split the work between helpers running side by side.

Visit the Hermes site

They cover much the same ground. I'll recommend one once I know the jobs, the tools you use and where the agent needs to run.

What I set up

The agent doesn't arrive knowing your business. Everything below gets decided with you, tested on real work and written down before I hand it over.

Where it runs
We choose where it runs, and I set it up there, usually away from the computer you use every day.
How you reach it
One agreed chat channel, with access limited to the people who should be able to brief it.
The first jobs
Instructions, tools and connections for the jobs agreed before work starts. Unusual integrations are scoped separately.
Access and approvals
I harden the setup by limiting network access, protecting its credentials, restricting its tools and setting where it must stop for a person.
Models and usage
The main work gets a suitable model; lighter background tasks can use cheaper ones. I'll show you where to see what it's spending.
Testing and handover
Checks on real work, documentation and handover. The setup stays yours.

More freedom needs a shorter leash

We start with a couple of jobs and only the access those jobs need. You decide what it can do on its own and where it stops to ask.

As it takes on more, its access grows with it, one job and one connection at a time.

When a workflow will do

If one predictable set of steps covers the job, an autonomous agent is more machinery than you need.

I'll tell you that and point you at a workflow instead.

More about AI workflows

What it costs

  • Core setup

    Your agent installed, secured and connected, ready for you to start handing it work.

    • Set up on a computer or server we choose together
    • One chat channel, plus your email and calendar
    • An AI model connected, and a way to see what it's spending
    • A live walkthrough
    • One week for setup issues after handover
  • Full setup

    Your agent doing the first jobs you want to hand it, working and tested before you take over.

    Everything in the core setup, plus:

    • The first jobs, agreed before work starts, and the connections they need
    • Rules for what it does alone and where it stops for a person
    • Model use tuned to avoid unnecessary running costs
    • Testing on real work of yours
    • Documentation of the setup
    • Support extended to one month for the agreed jobs

All prices are in AUD, plus GST. Running costs, including hosting and model usage, are billed to you directly. There's no monthly fee from me; ongoing care is optional and scoped separately. Your own hardware and unusual integrations are quoted separately.

Want more out of the assistant you already use before you build a separate one? The smaller setup session is $750. See the assistant setup

Things people usually ask

What does it cost to run?

OpenClaw and Hermes are free to use. You may still pay for the machine or hosting, the AI model and any paid tools the agent uses. Those bills come straight to you. I set out the likely running costs before we start.

Where does the agent run?

On a computer or server we choose together. I recommend a separate machine or cloud server, rather than the computer you use every day. That makes its access easier to contain and keeps it available when your own computer is off. I'll quote a setup on your own hardware separately.

Where do the conversations go?

The agent stores its conversation history on the computer or server where it runs. If it uses Claude, GPT or another hosted model, the messages needed for the job are sent to that provider. A fully local setup is possible, but it usually means more capable hardware or a smaller model.

Can we add more jobs later?

Yes. We can add jobs and connections as you find more useful work for it. Before anything new goes live, I check what extra access it needs and where it should stop for approval. Small additions may fit into ongoing care; larger ones get their own quote.

Do I need ongoing support?

No. Core setup includes a week to sort out setup issues. Full setup includes a month of support for the jobs we built. After that, you can run it from the handover notes or arrange ongoing help separately.

Which job keeps crossing your desk?

Tell me what you're trying to get done and where the information lives. We can work out whether an autonomous agent would earn its keep.