Let’s make a chatbot together and learn how to create and put a chatbot into production by simply describing the role the bot should have.
How to Build a Chatbot in Just a Few Minutes (Really): Our Step-by-Step Webinar
“Let’s Build a Chatbot Together” wasn’t just the title of our webinar—it was a promise we kept during this special session hosted by Athics. A live tutorial to show just how simple it can be to create a virtual assistant using Crafter AI, our conversational AI platform designed to be accessible, fast, and powerful.
Joining me, Eleonora, was Gianluca Marino, Backend Developer on our team, who walked us through the process step by step, demonstrating the platform’s features and capabilities in real time.
Truly Democratizing Artificial Intelligence
AI is more accessible than ever. With the rise of technologies like ChatGPT, it’s now clear that even advanced solutions can seamlessly integrate into everyday business operations. Our goal is to bring that power directly into the hands of those building businesses every day. How? By making chatbot creation a guided, simple, and even fun process.
A Bot in Just a Few Clicks: Here’s How It Works
Building a chatbot with Crafter AI involves a series of streamlined steps:
- Language Selection – Essential to enable optimized models for each language context.
- Defining the Bot’s Role – The heart of the experience. By providing a short text description of the use case, the platform automatically generates initial questions and answers—our cure for the dreaded blank page.
- Knowledge Base Creation – The chatbot’s brain. It can be enriched manually, via file upload, URLs, or additional text prompts.
- Teach & Improve – Add question variants, conversational flows, and continuously improve the bot based on real interactions.
- Training & Deployment – One click to train, another to go live. The chat integrates into websites or apps via a simple script.
From Knowledge Base to Natural Language Responses
Generative AI comes into play at two key moments:
- When automatically creating the knowledge base
- When generating the bot’s real-time responses
These features are powered by a Large Language Model (LLM), which can be activated with a simple toggle. Users can choose to use their own APIs (e.g., from OpenAI) or rely on Crafter AI’s managed version.
To prevent known issues like “hallucinations” (inaccurate or made-up answers), Crafter AI integrates Retrieval Augmented Generation (RAG) technology: the bot builds its responses strictly from the provided sources, ensuring a high level of reliability.
Real Conversations, Not Just Q&A
In real life, conversations are more than isolated questions and answers. That’s why Crafter AI allows users to build guided conversational flows where the bot can also ask questions, collect data, and adapt the dialogue based on user input.
All of this is supported by a self-validating logic that helps users build interactions correctly and avoids structural errors.
Customization and Multichannel Integration
Once published, the chatbot can be tested, visually customized (colors, layout), and integrated into:
- Websites
- Social channels (WhatsApp, Messenger, Telegram)
- Mobile apps
- CRM, ERP, and e-commerce platforms
- Voicebots (yes, even voice!)
What If Something Doesn’t Work?
The “Improve” section lets you monitor interactions, identify unanswered queries, and continuously enhance your bot’s performance. This feature was also designed to be user-friendly, clear, and instantly actionable.
How Much Does All This Cost?
Crafter AI is available in a self-service version with a 30-day free trial (no credit card required) and scalable plans to suit different needs. For enterprise projects or complex integrations, our team is ready to provide tailored solutions.