There's definitely opportunities to parallelize. BLAST exploits these with an LLM-planner and tool calls to dynamically spawn/join subtasks (there's also data p

There's definitely opportunities to parallelize. BLAST exploits these with an LLM-planner and tool calls to dynamically spawn/join subtasks (there's also data parallelism and request hedging which further reduce latency). Now you are right that at some point you'll get throttled either by LLM rate limits or a set budget for browser memory usage or LLM cost. BLAST's scheduler is aware of these constraints and uses them to effectively map tasks to resources (resource=browser+LLM).