Chatbot glow-up: 3 reasons everyone hates your AI agent (and what you can do about it)

Your agent might suffer from poor user experience (UX) design, leading to a cookie-cutter AI chatbot that's simple to deploy but can't handle much more than the simplest of requests. Most companies settle for this approach, which leads to frustration among users and a lack of personalization in conversations. To fix this, you need to address the underlying problem of UX support for teams designing AI agents by involving a UX designer at pivotal points in the process, such as planning and strategy. Additionally, you should embed AI agents across various interfaces, including in-app, IVR, webchat, Discord, and your help center, to provide customers with seamless support across their journey. Furthermore, connect your AI agent to your knowledge base and an LLM to ensure flexible, contextual conversations that can be personalized for each unique user. Your AI agent should also handle complex customer interactions and complete helpful tasks, such as automating support tasks across multiple lines of 24/7 support coverage. By making these improvements, you can transform your AI agent from a source of frustration to a valuable asset that impresses users and streamlines support.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.