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.
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Quiles et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69fd7ddcbfa21ec5bbf06093 — DOI: https://doi.org/10.1016/j.cola.2026.101401
Ángel Quiles
Esther Guerra
Juan de Lara
Journal of Computer Languages
Universidad Autónoma de Madrid
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