Support chatbots are basically stateless agents and most tools treat them like glorified FAQs... Here's what changes when you think of them differently
Summary
The article challenges the conventional view of support chatbots as stateless FAQs and explores how rethinking their design can lead to more effective, stateful conversational agents.
Similar Articles
Most AI agents fail because people build them like chatbots
Many AI agent implementations fail because they treat agents like chatbots, relying on chat history for state rather than using deterministic data structures. The article advocates for separating reasoning (LLM), actions (tools), workflow progress (state machine), and external triggers (webhooks) to build reliable business agents.
Are we moving past the "Chatbot" era faster than people realize?
Discusses the transition from chatbot-based AI to autonomous agents capable of executing complex workflows, suggesting a major UX shift.
We built persistent cloud computers for agents. Here’s what changed vs normal chat-based agents
The author introduces Computer Agents, a platform providing persistent cloud environments with file and terminal access to enhance AI agent reliability and context retention across sessions.
What if AI systems weren't chatbots?
This paper critiques the dominance of chatbot interfaces in AI, arguing they have structural downsides and societal harms, and proposes alternative pluralistic system designs.
Are we finally getting to the point where AI agents can actually do tasks instead of just chatting?
A discussion on whether AI agents are finally transitioning from chat-based interactions to autonomously performing real-world tasks like customer support and subscription cancellations, questioning if practical implementation has arrived or remains in early stages.