The article examines AI agents' five key limitations—reliability, cost, speed, context window, and tool ecosystem—then outlines five emerging trends, multiple market opportunities, and practical advice for entrepreneurs and users, emphasizing why agents are a pivotal step toward actionable AI.
This article examines how the concept of Skills in AI agents evolves from a seemingly redundant feature in specialized coding tools to a crucial, reusable abstraction in enterprise‑level, multimodal agent platforms, outlining the scenarios where Skills shine and where they become unnecessary.
JD’s recent technical salon reveals the rapid evolution of large‑model tools, detailing industry trends, JD’s JoyAI ecosystem—including JoyAgent, OxyGent and JoyCode—real‑world applications across office, code review, logistics and local services, and future policy and multi‑agent visions.
JD’s internal technical salon reveals the rapid evolution of large‑model AI tools, outlining design principles, current capabilities like JoyAgent, OxyGent and JoyCode, real‑world applications across office, code review, logistics, and policy outlook, while highlighting future multi‑agent and embodied intelligence trends.
This article introduces the Six Thinking Hats framework, explains its benefits, describes AI agent concepts and platforms, and provides a step‑by‑step guide with prompt examples for creating a low‑cost, fully‑featured Six Thinking Hats assistant using generative AI tools.
