A QA layer your AI sales agent runs before it sends.

Example input

{
  "message_text": "Hi Jordan — saw you're scaling the SDR team at Northwind. We help RevOps teams cut manual list-building. Open to a 15-min call Thursday?",
  "channel": "email",
  "target_persona": "VP of Sales / RevOps lead",
  "product_context": "Outbound data enrichment for B2B sales teams",
  "desired_outcome": "book_meeting"
}

Example output

{
  "score": 74,
  "confidence_score": 0.86,
  "verdict": "revise_before_sending",
  "failure_modes": [
    {
      "type": "fake_personalization",
      "severity": "medium",
      "detail": "Opening references a public fact ('scaling the SDR team') with no specific trigger or insight."
    },
    {
      "type": "weak_value_clarity",
      "severity": "low",
      "detail": "'Cut manual list-building' is a feature, not a quantified outcome."
    }
  ],
  "risk_flags": [
    {
      "type": "unverified_claim",
      "severity": "low",
      "detail": "No proof point backs the implied efficiency gain."
    }
  ],
  "rewrite": "Hi Jordan — Northwind posted 4 new SDR roles this month. Teams scaling outbound that fast usually lose hours to manual list-building. We cut that to near-zero for RevOps leads like you. Worth 15 minutes Thursday to see if it fits?",
  "agent_instruction": "Do not send as-is. Apply the rewrite or strengthen the trigger and add one quantified proof point, then re-run QA.",
  "agent_next_action": "revise_message_before_sending"
}