“crewai”
Building the Same AI Agent across Three SDKs: Pydantic AI, LangGraph, and CrewAI
Architectural comparison and code migration guide implementing a research assistant agent across Pydantic AI, LangGraph, and CrewAI.
Steering Agents by Conversation: Chat as a Control Surface
CrewAI turns a chat thread into an agent control surface — routing turns, pausing for human feedback, and resuming runs mid-flight.
CrewAI in Depth: Roles, Tasks, and Process Orchestration
A practical tour of CrewAI's core abstractions — agents, tasks, processes, and Flows — with guidance on when this role-shaped framework beats a graph-based one.
Tool-Selection Evals: Verifying the Agent Picks the Right Tool
Build eval suites that verify your agent selects the correct tool for each task, with precision metrics, confusion matrices, and regression testing for tool selection.
Designing Refusal and Escalation Responses for Agents
Design graceful refusal patterns and seamless human escalation workflows in CrewAI multi-agent crews when tasks exceed agent confidence or policy boundaries.
The Agent SDK Landscape Deep Dive: LangGraph, CrewAI, MAF, ADK
A comprehensive comparison of the leading AI agent frameworks in 2026: LangGraph, CrewAI, Microsoft Agent Framework, and Google ADK, with practical guidance on choosing the right one.
The Agent SDK Landscape: PydanticAI vs. LangGraph vs. CrewAI
Stop choosing an agent framework at random. Compare PydanticAI, LangGraph, and CrewAI on statefulness, multi-agent design, type safety, and operational control — then pick the right tool per job.
Top AI Agent Frameworks for 2026: A Practical Comparison
A practical, evidence-based comparison of the leading AI agent frameworks in 2026 — LangGraph, CrewAI, OpenAI Agents SDK, AutoGen/AG2, Google ADK, and more — with guidance on how to choose.