{"id":3993,"date":"2025-06-28T09:32:33","date_gmt":"2025-06-28T09:32:33","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=3993"},"modified":"2025-06-28T09:32:35","modified_gmt":"2025-06-28T09:32:35","slug":"a-developers-information-to-constructing-scalable-ai-workflows-vs-brokers","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=3993","title":{"rendered":"A Developer\u2019s Information to Constructing Scalable AI: Workflows vs Brokers"},"content":{"rendered":"


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I had simply began experimenting with CrewAI and LangGraph, and it felt like I\u2019d unlocked an entire new dimension of constructing. Abruptly, I didn\u2019t simply have instruments and pipelines \u2014 I had crews<\/em>. I might spin up brokers that might motive, plan, speak to instruments, and speak to one another. Multi-agent programs! Brokers that summon different brokers! I used to be virtually architecting the AI model of a startup workforce.<\/p>\n

Each use case turned a candidate for a crew. Assembly prep? Crew. Slide era? Crew. Lab report overview? Crew.<\/p>\n

It was thrilling \u2014 till it wasn\u2019t.<\/p>\n

The extra I constructed, the extra I bumped into questions I hadn\u2019t thought by: How do I monitor this? How do I debug a loop the place the agent simply retains \u201cconsidering\u201d? What occurs when one thing breaks? Can anybody else even preserve this with me?<\/em><\/p>\n

That\u2019s after I realized I had skipped an important query: Did this actually should be agentic?<\/em> Or was I simply excited to make use of the shiny new factor?<\/p>\n

Since then, I\u2019ve turn out to be much more cautious \u2014 and much more sensible. As a result of there\u2019s an enormous distinction (in line with Anthropic<\/a>) between:<\/p>\n