
The rapid proliferation of sophisticated AI agents has paradoxically created a new kind of developmental gridlock, leaving teams facing a critical and often paralyzing decision: should they endlessly retrain their AI’s core brain, or should they focus on building it a better and more adaptive toolbox? This choice, seemingly technical, carries profound implications for the cost, scalability, and ultimate success










