Multiagent research loops handle complex tasks
Multi-agent systems with Claude Opus 4 outperform single-agent approaches by 90.2% on internal research evaluations.
Multi-agent systems with Claude Opus 4 outperform single-agent approaches by 90.2% on internal research evaluations.
Learn how loop engineering replaces manual prompting with autonomous cycles, preventing seven-figure token bills through strict verification logic.
One developer lost $4,200 in a weekend. Learn why autonomous loops make 30–50 calls per ticket and how to set killswitches.
See how parallel routing across 47+ providers delivers 60% cost savings while neutralizing hallucinations in complex agentic loops.