Test your AI phone or WhatsApp agent against real past calls before you trust it with your line: turn a batch of real tenant or customer calls into scored test scenarios, fix every failure, and re-run the whole set before each change goes live: AI agent prompt

1. Collect 30 to 50 real past calls or messages (transcripts, voicemail notes or chat logs), removing names, phone numbers and unit numbers.
2. Paste them and say: "Turn each one into a test scenario: what the caller says, any follow-up they'd give if asked, and what a correct outcome looks like (job logged with these details, emergency flagged, passed to a person with this summary, or a polite no). Include the awkward ones: angry callers, wrong property, two problems in one call, emergencies, someone who won't give details."
3. Run each scenario against your AI agent (or have a colleague play the caller), paste the agent's replies back and ask: "Score each one PASS or FAIL against its expected outcome, say exactly what went wrong, and group the failures by cause (missing info, wrong rule, didn't escalate, made something up)."
4. For each cause, ask: "Suggest the smallest change to the agent's instructions or knowledge base that fixes it, without breaking the scenarios that passed."
5. Re-run the whole set after every change and keep a one-line log: date, change, pass rate. Don't put the agent on your live line until emergencies and escalations pass every time.