Topic
CrewAI Agent Roles & Task Design
7 posts on crewai agent roles & task design — part of framework tutorials on the n4n AI blog.
Designing CrewAI tasks: context, output, and expected format
Practical guide to CrewAI task design: structure context, define expected output formats, and avoid common pitfalls when building multi-agent crews.
CrewAI task design tutorial: chaining task outputs
Hands-on CrewAI tutorial: chain task outputs to build multi-step agent workflows. Learn to use Task context, structured outputs, and avoid common pitfalls.
CrewAI agent roles tutorial: manager and worker patterns
Build a working CrewAI hierarchical crew with manager and worker agents. Step-by-step code, prerequisites, and expected output for the manager worker pattern.
CrewAI agent roles tutorial: goal, backstory, and tools
Hands-on CrewAI tutorial: define agent roles, goals, backstories, and tools step by step to build a working multi-agent crew with runnable Python code.
CrewAI agent roles: tools, memory, and delegation settings
Hands-on guide to CrewAI agent roles: configure tools, memory, and delegation settings with Python examples, plus pitfalls and a sane default setup.
CrewAI agent roles: specialist vs generalist design
Compare CrewAI specialist vs generalist agent roles across cost, latency, ergonomics, with a table and verdict for which to use when.
CrewAI agent roles: assigning the right LLM per role
Learn how to configure CrewAI llm per agent role assignment with runnable code, routing different models to planner, researcher, and writer agents in production.
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