AI models and agents

AI evaluation

Also known as: evaluation · evals

Testing system quality against tasks and criteria matching its intended use.

A practical example

A test assesses factual accuracy and source correctness.

What should I know?

One successful example does not prove overall reliability.

AI models and agents in practice

A model processes information; the application defines tools and permissions. Reliable answers require good sources and verification. Actions involving accounts, content, and orders must stay within the granted scope.

Related Semly features

See where this concept applies when working with Semly.

Semly MCPConnect Semly data and tools to your AI assistant. Analyze reports and work with Leon in a conversation.Websites for AI agentsShare structured company knowledge and inquiry forms through an agent channel.

Related terms

Fact-checkingChecking claims, data, and quotations against reliable sources.AI hallucinationGenerating information that is false or unsupported by available material despite sounding convincing.Prompt engineeringDesigning and testing instructions to produce useful results for a defined task.

Documentation and further reading

Definition prepared by Semly. Standards and behavior are described by their creators:

Find out if AI ChatGPTGeminiClaudeGoogle AI OverviewsGoogle AI Mode can see you

Enter your website address to get your AI visibility report.