Today the use of chatbots has proliferated across various sectors and applications, significantly enhancing customer interaction and satisfaction through real-time communication. However, there remains a critical need to explore further advancements in their development. With the progress in Natural Language Processing (NLP) and Natural Language Understanding (NLU), several major platforms—such as Google, Amazon, and IBM—have introduced a variety of tools and features for chatbot creation. In this paper, we will conduct a comparative analysis of representative chatbot development platforms, and provide some extension capabilities in the context of time-persistent(deep-logic) chatbot capabilities. All the state-of-the-art task-oriented chatbot platforms focus on facilitating connection to multiple messaging channels such as Facebook Messenger, Instagram, WhatsApp, Slack and SMS. They provide user-friendly interfaces for chatbot creation and automation. Still, the operation of long conversations, often referred to as deep-logic, brings additional challenges that are not typically addresses by many existing systems. The paper aims to provide insights into the strengths and limitations of each platform, ultimately contributing to the ongoing development of more effective and intelligent chatbots.