Really useful breakdown, especially the point that measuring characters or using the wrong tokenizer can give a misleading picture of an AI agent’s actual cost. I like how you turn an easily overlooked technical detail into a practical lesson about budgeting, context limits, and smarter system design. At Oglas AI, we believe building effective AI solutions means thinking beyond the model itself and paying attention to efficiency, reliability, and real world costs. Looking forward to the next part of this series!