The Agentic Iceberg: Why “Production-Ready AI Agents” are harder than they look
The current era of AI agents is chaotic, with many claiming autonomy while lacking resilience in real-world applications. Traditional systems offer coherence, unlike fragmented agentic systems reliant on diverse tools and integrations. Building dependable agents requires deep understanding beyond surface-level interfaces, emphasizing trust through robust, multilayered infrastructures.