An intelligent low-code platform for building task-oriented LLM-based chatbots
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.
Authors
- Esther Guerra
- Juan de Lara (ORCID: https://orcid.org/0000-0001-9425-6362)
- Ángel Quiles
Institutions
- Universidad Autónoma de Madrid (ES)
Publication Details
- Journal
- Journal of Computer Languages
- Published
- 2026-05-01
- DOI
- https://doi.org/10.1016/j.cola.2026.101401
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia, Innovación y Universidades