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Anthropic is on fire with their technical posts.
If you’re an AI dev, stop and read this. It breaks down how they built Claude’s new multi-agent Research feature.
Key highlights:
• Orchestrator-Worker Design: A lead agent breaks down queries, spins up tool- and memory-equipped subagents, and integrates their findings—leading to 90% better performance than single-agent Claude.
• Token-Efficient Scaling: By distributing tasks, Claude scales reasoning effectively, though at 15× token cost—ideal for complex, high-value queries.
• Prompt Engineering Lives On: They refined agent behavior through heuristics in prompt design and even used Claude to optimize its own prompts, cutting task time by 40%.
• Robust Evaluation & Reliability: Combines LLM-as-judge scoring, human checks, and production-grade tools like checkpoints and full traceability to ensure reliability in long, non-deterministic tasks. 0 reply
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