How to build deterministic agent workflows
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AI agents benefit from models with greater reasoning and tool use capabilites. However, processes requiring deterministic outcomes are better handled with explicit control of agents.
In this webinar, we'll introduce CrewAI Flows, an event-based framework that enables developers to determine when, where and how agents and LLMs participate in complex processes.
- Building deterministic agentic workflows
- Programmatic control of AI agents
- Difference between CrewAI crews and flows
- Using events to trigger AI actions
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Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.
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An open-source orchestration framework with high-level abstractions and low-level APIs for building complex, agent-driven workflows.
