Cognaptus

The recent wave of innovation in AI systems has ushered in two distinct design paradigms—AI Agents and Agentic AI. While these may sound like mere terminological variations, the conceptual taxonomy separating them is foundational. As explored in Sapkota et al.’s comprehensive review, failing to recognize these distinctions risks not only poor architectural decisions but also suboptimal performance, misaligned safety protocols, and bloated systems. This article breaks down why this taxonomy matters, the implications of its misapplication, and how we apply these lessons to design Cognaptus’ own multi-agent framework: XAgent. ...

“You expect AI to be dumber than humans. But when it’s smarter and still fails, that’s when it hurts.” Earlier this month, Cursor AI’s chatbot “Sam” fabricated a nonexistent refund policy, confidently explaining to users why it was entitled to keep their subscription money—even when those users were eligible for a refund1. The backlash was immediate. Users lost trust. Some cancelled their subscriptions entirely. ...