• 🤖 Treat Ana as you would a coworker

    • Have interactive conversations to clarify or refine requests, just as you would with a real analyst.

  • 🧩 Break complex requests into smaller steps

    • Language models can get overwhelmed when given too many steps at once.

  • ❓ Ask follow-up questions

    • This helps uncover deeper insights or correct misunderstandings along the way.

  • 📈 Request charts and visualizations

    • These can be easy ways to understand data and insights, as well as verify Ana’s assumptions.

  • ❗ Expect occasional misunderstandings or assumptions

    • Ana might interpret questions differently, so be prepared to rephrase or specify your request when needed.

  • 🔄 If a chat gets too long or isn’t going well, start fresh

    • Ana has access to many tools and may stumble when handling too many things at once. Sometimes, the best solution is to start a new chat.

Something isn’t working / my team needs specialized onboarding / we need more datasets. How can I get in touch?

Don’t hesitate to reach out if you are experiencing errors.
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