Medium LLM
Building a Research Pipeline with Claude: AI Agents, Web Search, and the Bill That Followed
agenticmulti-agent
What happened
The author built a multi-agent research pipeline using the Anthropic API where four agents search the web in parallel to research a topic. The article touches on the cost implications of running parallel agentic search workflows.
Why it matters
Running parallel agents can quickly escalate API costs, making cost-efficiency a key design constraint for agentic workflows.
The take
Parallel multi-agent search is a common pattern, but the discussion around API costs and efficiency is highly relevant for developers deploying production agents.
Do this
Evaluate the cost-to-benefit ratio of parallel agent architectures before scaling them in production.
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