An intelligent low-code platform for building task-oriented LLM-based chatbots
Abstract
Task-oriented chatbots help users complete specific goals such as ordering products. We recently proposed Taskyto, a domain-specific language (DSL) for building LLM-based task-oriented chatbots. Although Taskyto simplifies development, it remains challenging for non-experts due to complex installation, required DSL knowledge, and dedicated infrastructure to run the chatbots. To address these limitations, we present Bot-Craft , a low-code platform for creating and deploying Taskyto chatbots, augmented with an intelligent assistant that generates Taskyto code from natural language requests. We report on experiments demonstrating the assistant’s usability, effectiveness, performance, and accuracy in supporting chatbot development.
Fields of Study & Subjects
AI in Service Interactions
Speech and dialogue systems
Robotics and Automated Systems
Publication details
- Journal / source
- Journal of Computer Languages
- Publisher
- Elsevier BV
- Volume
- 87
- Pages
- 101401–101401
- Publication date
- 1 May 2026
- Language
- EN