This paper presents the design and development of a standalone, cross-platform client application that can connect and support various chatbot development platforms, thereby avoiding the limitations imposed by mainstream messaging channels that are typically used for user access. While third-party systems like Facebook Messenger and WhatsApp facilitate chatbot communication, they impose various restrictions on automated messaging, including message timing, scheduling, chatbot lifecycle, and content. These limitations disrupt continuous, so-called deep-logic or long-term interactions with users, hindering the effectiveness of extended engagement in customer service and support. As advanced chatbots gain enormous popularity, this paper envisions a growing need for standalone and perhaps open-source solutions that can connect to chatbot development platforms to support full ownership of the channel, thereby eliminating communication limitations. The proposed generic cross-platform client app is demonstrated utilizing Google Dialogflow chatbot development platform. Dialogflow supports natural language processing (NLP), and it seamlessly integrates with Google Firebase for backend data storage and real-time messaging. The client app supports flexible message scheduling continuity, multimedia features, quick-reply buttons, and scalability for up to 10,000 users. Through a flexible, independent design, this prototype showcases a scalable, unrestricted chatbot solution that enhances user satisfaction and engagement across various devices.