For a while, Amazon and AWS teams relied on Claude Sonnet 4.6 to label tickets in an internal system without breaking the bank. Sonnet 4.6 fit the goldilocks choice of balancing intelligence with cost. Considering it dealt with one of the world’s largest internal ticketing systems, the nine month old model did well. However, two Amazon engineers recently swapped out Sonnet 4.6 for Strands Decider, a decision model we launched a month ago, that performed just as well at 98% less cost. This change will save millions of dollars of token costs in a year. Carr and Mehul, who work on the internal ti