Fewer LLM turns, more commands: a practical way to verify research-heavy agent work
What if an agent spent less time going back to the model, but did much more useful work inside each turn?
That is the idea I have been testing: let an LLM turn make a decision, then let one batch of c
tura-agent.hashnode.dev2 min read