Guide
AI agents explained: OpenClaw, OpenRouter and Grok Bot
Chatbots answer questions. AI agents get things done. Here is what that means in practice, what three of the most talked-about names actually are, and what to think about before you hand any of them real work.
From chatbots to agents
If you have used ChatGPT, Claude, Gemini or Grok, you have used an AI assistant built on a large language model (LLM). You type a question or an instruction, and it writes a reply. Everything useful still depends on you: you copy the answer, paste it somewhere, check it and act on it.
An AI agent goes a step further. You give it a goal, and it works out the steps and carries them out using tools: searching the web, opening a website, reading and writing files, sending a message, updating a spreadsheet. It reports back when it has finished or when it needs a decision from you. The underlying technology is the same kind of language model; what changes is that it has been given the ability to act, and a loop that lets it keep going until the job is done.
That is why agents are one of the biggest topics in AI right now. They can take whole tasks off your plate rather than just helping with the writing. They also bring new risks, because a tool that can act can make mistakes that matter.
What is OpenClaw?
OpenClaw is a free, open-source personal AI agent. You install it on your own computer or on a server, connect it to an AI model of your choice (from providers such as Anthropic, OpenAI or Google, or a model running on your own machine), and then talk to it through the messaging apps you already use: WhatsApp, Telegram, Slack, Discord, iMessage and many others. It can remember context, use tools and carry out tasks on your behalf.
The appeal is control. Your settings, memory and connections live on your own hardware rather than in someone else’s service, and you can swap the underlying model without starting again. The project is developed in the open by a non-profit foundation and has no paid tier of its own, although you still pay the model provider for what you use.
The trade-off is that you are responsible for running it well. Setting it up is straightforward for a confident computer user but not a one-click job, and its own documentation is clear that security is up to you: keep it updated, keep it private rather than exposed to the internet, and give it access only to what it genuinely needs.
What is Grok Bot?
Grok Bot takes a different approach. Rather than running anything yourself, you create one or more AI “bots” in an app, give each a job, and message them like colleagues. Each bot works on its own computer in the cloud, with a web browser and other tools, so it can sign into the websites and apps you use and carry out multi-step work, such as researching, updating documents or working through a queue of tasks, even while your own laptop is closed. It comes back to you for approval when something needs a decision or a login.
Grok Bot launched in 2026 and, at the time of writing, is a newer, subscription-based service that is still developing. It is a good example of where agents are heading: less about clever prompts, more about handing over a piece of work and checking the result.
What is OpenRouter?
OpenRouter is not an agent itself. It is a gateway: one account and one API that gives you access to hundreds of AI models from dozens of providers, including the well-known ones and many smaller or open models. Instead of signing up separately with each company, you use one key and choose the model by name. If one provider has an outage, it can automatically fall back to another.
For most people the practical benefits are choice and cost. You can try the same task on several models and see which does it best for the price, which matters once you are running AI regularly, for example inside an agent or an automation. Many agent tools, OpenClaw among them, can be pointed at a gateway like OpenRouter so that you can switch models easily.
What can agents actually be used for?
- Admin: sorting an inbox, drafting replies for you to approve, filing documents, keeping a spreadsheet up to date.
- Research: gathering information from several websites and summarising it with sources.
- Customer service: triaging enquiries and preparing draft answers.
- Personal organisation: reminders, plans and lists you can manage from your phone by sending a message.
- Business workflows: multi-step jobs that previously needed several apps and a lot of copying and pasting.
Agents sit alongside, not instead of, traditional automation tools such as Zapier, Make and Power Automate. Those are excellent for predictable, repeatable steps; agents are better at messy tasks that need judgement. Many good setups use both.
Using agents safely
The more an agent can do, the more careful you need to be. A few principles go a long way:
- Least access. Give an agent only the accounts, files and permissions it needs for the job.
- Approvals for anything important. Payments, deleting things, sending messages to customers and anything legal should need your say-so.
- Keep credentials out of chats. Use the sign-in or connection methods the tool provides rather than pasting passwords.
- Check the work, especially at first. Agents are built on the same language models that sometimes get facts wrong.
- Think about data. If customer information is involved, consider your obligations under UK GDPR before connecting anything.
Do you need to be technical?
Not to understand agents or to use a hosted service. Running something like OpenClaw yourself is easier with some confidence at the command line, although it is well documented. What matters most is knowing what a good task for an agent looks like, how to describe it clearly (which is prompt engineering by another name), and where to draw the line on what it may do without asking.
Learning this properly
The Practical AI Workflows intermediate course has a full session on AI agents and automation, covering OpenClaw, Grok Bot and no-code tools, and another on choosing and comparing models, including through OpenRouter. It is taught live in English, it is not a webinar, and you can ask questions at any time. If you are newer to AI, the beginner course introduces LLMs, the main assistants, a first look at agents and what AGI does and does not mean. For help setting up an agent for your own work, book a private one-to-one session.