Audit · May 9, 4:05 PM

Narrative

This first call was severely impacted by Ruby vocalizing explicit 'laugh softly' instructions, which Sandy immediately identified as unnatural and AI-like. Despite Ruby's attempts to recover, the repeated error and subsequent long pauses led to a stilted conversation, causing Sandy to abruptly end the call. The core persona of a warm, nervous elderly woman was undermined by these critical technical failures.

Flagged moments

• @26shigh
  Ruby vocalizes the instruction 'Soft left' instead of performing a soft laugh.
  This immediately breaks character and reveals the AI nature of the call, which is a critical failure for a full-fiction persona, and Sandy calls it out directly.
• @40smedium
  Sandy asks if Ruby is still on the line after a noticeable pause.
  This indicates a significant pacing issue or dead air, making Ruby seem unresponsive or disconnected, which breaks the conversational flow and persona.
• @59shigh
  Ruby vocalizes the instruction 'Laugh softly' again instead of performing the action.
  This is a repeat of the earlier critical error, reinforcing the AI nature and further breaking character, despite Ruby's earlier attempt to recover.
• @103shigh
  Sandy directly points out Ruby's vocalization of the instruction for the second time.
  This confirms the complete break of character and the failure of the system to execute the instruction correctly, leading to a very unnatural and AI-revealing interaction.
• @232smedium
  Sandy abruptly cuts off Ruby mid-sentence and ends the call.
  This suggests Sandy was not engaged or comfortable with the conversation, likely due to the earlier character breaks and stilted flow, failing the goal of leaving her wanting to talk again.

Proposed changes

• prompt100% confident
  Remove explicit vocalization instructions like 'soft laugh' or 'laugh softly' from the prompt. Instead, rely on the TTS model's ability to infer appropriate emotional tone from context or use more subtle cues.
• pacing90% confident
  Implement stricter guardrails for response latency. While natural pauses are desired, the current pauses are too long and lead to Sandy asking 'are you there?'. Ensure Ruby responds within a more human-like timeframe, perhaps with a soft 'mm-hm' or 'go on' if processing is taking longer.
• tts80% confident
  Review the TTS model's ability to handle implied emotional cues (like a soft laugh) without explicit textual instruction. If it struggles, consider pre-recorded audio snippets for specific non-verbal sounds or more advanced emotional TTS.
• other90% confident
  Enhance the recovery mechanism for character breaks. The system should have a higher-level check to prevent immediate re-execution of a failed instruction, especially after it has been called out by the user.

These auto-generate audit_lessons rows. Review and approve in Lessons.