Train representatives on objection handling, discovery calls, and closing techniques.

Example:

"A prospect says our product is 3x more expensive than
the competitor they're currently using. They like our
features but can't justify the cost difference to their
CFO. How would you position the value?"

What you get:

• Authentic objection-handling techniques
• Value proposition phrasing
• Discovery questions to uncover needs
• Closing strategies

Quality assurance testing for customer complaints, technical issues, and policy questions.

Example:

"A customer's subscription was charged twice this month.
They're threatening to leave and post negative reviews.
They've been a loyal customer for 3 years. How would
you resolve this?"

What you get:

• Empathy and de-escalation techniques
• Problem-solving approach
• Compensation strategies
• Retention tactics

Prepare for presentations by anticipating questions, concerns, and objections.

Example:

"I'm proposing a $500K investment in new infrastructure
that will take 18 months to show ROI. Based on past
board meetings, what questions and concerns should I
expect?"

What you get:

• Likely questions and concerns
• Communication style preferences
• Key metrics to emphasize
• Pre-emptive answers to prepare

1
{
2
  "error": "Not Found",
3
  "message": "Mind with ID 'abc-123' does not exist"
4
}

Solution: Verify the mindId is correct and ensure you have a completed snapshot for this mind.

1
{
2
  "error": "Bad Request",
3
  "message": "No completed snapshot found for this mind"
4
}

Solution: Verify snapshot training is complete using get_snapshot_status. Wait for snapshot to finish processing.

1
{
2
  "error": "Bad Request",
3
  "message": "Scenario message is required"
4
}

Solution: Ensure the scenario.message parameter is provided with a non-empty string.

• Include emotional context and constraints
• Provide relevant background information
• Specify desired outcomes
• Add time pressure when relevant

• Run multiple variations of scenarios
• Look for patterns in responses
• Test edge cases and unusual situations
• Compare responses across scenarios

• Start with known scenarios to validate accuracy
• Gradually introduce novel situations
• Document unexpected responses
• Verify critical predictions manually
• Use reasoning to understand predictions