There are two fundamentally different things you can ask an AI to do: find and present information (Librarian), or take action on your behalf (Butler).
The right choice depends on two factors: how costly errors are and how easily you can verify the output.
Drag the dot below to position your use case. The recommendation updates in real-time.
Hybrid Approach
Both modes may apply
Your use case sits in the middle. You might use AI for research and drafting, with human review before any actions are taken.
Recommendation
Why position matters
Librarian
Retrieves, synthesizes, presents. Says "here's what I found." You decide what to do with it.
Butler
Executes and reports. Says "I've done the thing." You verify (or trust) afterward.
The difference isn't about AI capability—both can be sophisticated. It's about accountability and reversibility.
When errors are costly or hard to detect, you want the AI to inform your decisions, not make them. When errors are cheap and obvious, automation saves time without adding risk.