Tutorials8 min read

Tutorial: Using the AI Assistant

Get the most out of the Carfluence AI assistant — example prompts, capabilities, and tips for effective queries.

tutorialAIassistantchatnatural languagequeries

Tutorial: Using the AI Assistant

The Carfluence AI assistant is powered by OpenAI GPT-4o-mini and has full context about your inventory, integrations, and platform configuration.

Getting Started

Open the AI assistant from the sidebar or via the API:

bash
# Create a conversation
POST /api/v1/ai/conversations

# Send a message
POST /api/v1/ai/conversations/:id/messages
{
  "content": "How many active vehicles do I have?"
}

Example Prompts

Inventory Analysis:

  • "How many vehicles do I have in stock?"
  • "What's my average price for used trucks?"
  • "Show me all BMWs that have been on the lot more than 60 days"
  • "Which 5 vehicles have the highest markup?"

Integration Status:

  • "When was my last vAuto sync?"
  • "Are there any integration errors?"
  • "How many records came in from HomeNet today?"

Data Insights:

  • "What's my average days on lot by make?"
  • "Which dealer has the most inventory?"
  • "Compare my new vs used vehicle count this month"

Platform Help:

  • "How do I set up a merge config?"
  • "What API endpoints are available?"
  • "How do I create a transformation rule?"

Tips for Better Results

  • 1Be specific: "Show me all used F-150s under $40k" is better than "show me trucks"
  • 2Ask follow-ups: The AI remembers conversation context
  • 3Request formats: "Show this as a table" or "Give me the API curl command"
  • 4Chain questions: Start broad, then drill down into specifics

Conversation Management

bash
# List all conversations
GET /api/v1/ai/conversations

# Continue an existing conversation (maintains context)
POST /api/v1/ai/conversations/:id/messages
{
  "content": "Now filter those to only Texas dealers"
}

Limitations

  • The AI has a daily cost cap ($5/day by default) to prevent runaway charges
  • Complex analytical queries may take a few seconds longer
  • The AI cannot modify data — it's read-only for safety
  • Responses are limited to the data in your schema (multi-tenant isolation applies)
Last updated: December 16, 2025