Generates predictions of how a person would think, feel, communicate, and act in any scenario you describe. This is where training data becomes actionable insights.
Using the trained snapshot, run AI simulations to predict responses to any scenario. Each simulation completes in seconds, and you can run unlimited simulations once a snapshot is complete.
The simulation response contains the AI-generated prediction of how the person would respond. The exact format may vary based on the model used, but always includes the predicted response text.
The quality of your simulation depends heavily on scenario specificity.
Vague scenario:
Too general—lacks context, constraints, and emotional state.
Specific scenario:
Includes context, time constraints, emotional state, and desired outcome.
Include these elements:
Train representatives on objection handling, discovery calls, and closing techniques.
Example:
What you get:
Quality assurance testing for customer complaints, technical issues, and policy questions.
Example:
What you get:
Prepare for presentations by anticipating questions, concerns, and objections.
Example:
What you get:
Solution: Verify the mindId is correct and ensure you have a completed snapshot for this mind.
Solution: Verify snapshot training is complete using get_snapshot_status. Wait for snapshot to finish processing.
Solution: Ensure the scenario.message parameter is provided with a non-empty string.