Need to quickly build a functional bot that answers FAQs and helps your customers? You don’t have to create complex dialogue trees or integrate complicated APIs. Sometimes, all you need is a simple, fast chatbot that you can build literally in just a few minutes.In this article, we’ll show you how to do it — using only the LLM modules available on the coworkers.ai platform.
This approach is ideal when speed, simplicity, and flexibility are your priorities.
The goal is to create an MVP (Minimum Viable Product) — a minimally viable product.
In practice, this means building a bot that already works and helps users, yet remains simple enough to be quickly tested and improved based on real user feedback.
With an LLM-powered bot, you can immediately validate your idea’s usefulness and make smart decisions about where to invest more time and budget.
Key benefits of this approach
On the coworkers.ai platform, such a chatbot is built on two core modules that you can use independently or combine for maximum effectiveness.
Think of the AI Agent as your bot’s brain. It works similarly to ChatGPT but is fully customizable to your needs.
You can give it a custom prompt that defines its tone and behavior.
It also remembers the conversation context and can trigger more complex actions (e.g., call APIs).
When to use it: Ideal for roles like a virtual receptionist, booking assistant, or small instruction-based chatbot that leads a natural conversation.
AI Knowledge allows your bot to draw information from your documents, website, or other data sources.
Simply upload a PDF, FAQ, or website — and the AI assistant will automatically find the most relevant answers.
When to use it: Perfect for FAQ bots with large document sets, support assistants who need to respond strictly according to sources, and cost-effective self-service scenarios.
However, the best results often come from combining both.
AI Knowledge can instantly handle factual questions, while AI Agent takes care of follow-ups, small talk, and unique situations that require creativity or broader context.
With the LLM modules from coworkers.ai, you can create your own AI assistant in just a few minutes — without coding, complex setup, or technical expertise. Start simple, get quick results, and gradually expand your bot as your needs grow.
You can build a basic LLM-powered AI chatbot on the coworkers.ai platform in literally just a few minutes. You simply choose the LLM modules, define the bot’s behavior, and connect your knowledge sources. You can immediately test the first version of your AI assistant in chat and then keep improving it based on real customer questions.
No, you don’t need any programming skills. The LLM modules in coworkers.ai are designed so you can click together your AI chatbot on your own. You configure the AI Agent using instructions (a prompt), and you just connect AI Knowledge to your documents or website. Technical knowledge only becomes useful once you want advanced API integrations, not for building a basic MVP bot.
The foundation is the text content your LLM chatbot will use – typically FAQs, product descriptions, guides, customer support processes, or articles from your website. You then connect these to the AI Knowledge module so the AI assistant answers strictly based on your data. The better organized your content is, the faster you’ll get to a usable chatbot (MVP) and the less time you’ll spend fine-tuning it.
A classic chatbot works mainly with predefined flows and buttons. It’s fine for a few very specific scenarios, but it struggles with open-ended questions. An LLM chatbot (for example a combination of AI Agent + AI Knowledge in coworkers.ai) understands natural language, works with context, and can answer directly from your documents. Thanks to that, it can handle a much wider range of queries and you can launch it as a quick MVP solution without complicated dialog tree modeling.
