Ultimate design conversationnel Solutions for Everyone

Discover all-in-one design conversationnel tools that adapt to your needs. Reach new heights of productivity with ease.

design conversationnel

  • A low-code AI agent builder enabling automated customer support and engagement chatbots powered by GPT within Sendbird.
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    What is Sendbird AI Agent?
    Sendbird AI Agent provides a visual builder to design multi-turn conversational flows, leveraging GPT-3/4 for natural language understanding and responses. Users can customize templates for customer support, FAQs, community moderation, and engagement bots. Built-in context memory maintains conversation history while fallback-to-human options ensure smooth handoffs. Integrated analytics track performance and user sentiment. SDKs for web, iOS, and Android allow rapid deployment into any chat application.
  • Tiledesk offers AI-powered customer service for seamless multi-channel engagement.
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    What is Tiledesk?
    Tiledesk is a no-code, AI-driven platform designed to streamline customer engagement through automated agents. It supports multi-channel communication, enabling businesses to manage customer interactions efficiently. The platform includes features like a chatbot builder, knowledge bases, and a design studio for conversational flows, making customer support faster and more responsive.
  • An open-source Python framework providing modular memory, planning, and tool integration for building LLM-powered autonomous agents.
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    What is CogAgent?
    CogAgent is a research-oriented, open-source Python library designed to streamline the development of AI agents. It provides core modules for memory management, planning and reasoning, tool and API integration, and chain-of-thought execution. With its highly modular architecture, users can define custom tools, memory stores, and agent policies to create conversational chatbots, autonomous task planners, and workflow automation scripts. CogAgent supports integration with popular LLMs such as OpenAI GPT and Meta LLaMA, allowing researchers and developers to experiment, extend, and scale their intelligent agents for a variety of real-world applications.
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