What makes an AI agent different from a chatbot?

An agent can call tools, observe results, and take further steps toward a goal — chaining actions instead of returning a single response.

Why do agents fail in production?

Usually unbounded loops, brittle tool calls, and no recovery path — reliability engineering matters more than the model.

How do I prompt an agent well?

Give it a clear goal, explicit tools and limits, and stopping conditions. Oort has agent and workflow prompts you can adapt.

AI Agents

Autonomous and tool-using agents — frameworks, releases, and hard-won lessons on making agentic workflows reliable.

What to know

Agents use models plus tools and memory to take multi-step actions, not just answer once. The hard part isn't the demo — it's reliability: error handling, loops, and knowing when to stop. This hub tracks frameworks, releases, and lessons on making agentic workflows dependable.

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AI Agents — FAQ

What makes an AI agent different from a chatbot?: An agent can call tools, observe results, and take further steps toward a goal — chaining actions instead of returning a single response.
Why do agents fail in production?: Usually unbounded loops, brittle tool calls, and no recovery path — reliability engineering matters more than the model.
How do I prompt an agent well?: Give it a clear goal, explicit tools and limits, and stopping conditions. Oort has agent and workflow prompts you can adapt.