save tokens. you can get more predictable work at the same time. And in the quote example we talked about, a pricing tool could apply pricing rules and you wouldn't have to use an LLM to get probabilistic pricing. The model doesn't need to rediscover arithmetic in that case, right? And all the model may need to do is understand the customer's language well enough to identify the product, recognize what's missing, and explain the answer that was derived from a tool call back to the to the CRM. And
And all the model may need to do is understand the customer's language well enough to identify the product, recognize what's missing, and explain the answer that was derived from a tool call back to the to the CRM.