I would love to see an llm system oriented around trying to "jit" out fast/cheap combinations of tool invocations from calls. The case where heartbeat calls Opus, where the transformer model itself doesn't know the time but has access to some tools, should be solvable if Opus has said the equivalent of "it's still night, and to determine this I checked the time using the `date` utility to get the epoch time and if it had responded something greater than $X I would have said it's morning". I.e. the smart model can often tell a less capable framework how it can answer the same question cheaply in the future. But incentives aren't really aligned for that presently.