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Start Recommendations

These are the three recommendation options that appear on the start screen when users starts a new chat. Show Analysis and Code

Highlight Common Use Cases

Showcase the most frequently asked questions in your organization

Showcase Specific Metrics

Feature important KPIs and metrics users should explore

Guide Toward Valuable Insights

Direct users to high-impact analysis opportunities

Demonstrate Capabilities

Show the range of questions camelAI can answer

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Configuration

1

Provide Starter Prompts

Create a list of 1-500 recommended starter prompts
2

Support Multiple Options

If you provide more than 3, camelAI will randomly select which 3 to display
3

Keep It Conversational

Recommendations should be conversational and relevant to your data. Keep each recommendation short and sweet.

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In-Chat Recommendations

After each interaction, camelAI automatically generates three follow-up suggestions based on:
  • The most recent message exchange
  • Your connected data source structure
  • Natural next steps in the analysis
In-chat recommendations are currently AI-generated and cannot be customized. They’re designed to be contextually relevant and encourage deeper data exploration.