Testing by chat and by voice

Before a single real caller reaches your AI phone assistant, you should be the one stress-testing it. Your dashboard includes a built-in chat tester, and it is not a mock-up or a scripted demo: it runs your real assistant, using the exact business profile, opening hours, services and FAQ answers you saved. Whatever you type, you are talking to the same virtual receptionist your customers will eventually meet — which means anything that feels off now is something you can fix in minutes rather than discover from a frustrated caller later.

Start simple. Type the kind of question your customers ask most: "Are you open on Saturday?", "How much does X cost?", "Can I book for two people on Thursday?" Watch whether the assistant answers from the information you gave it, books cleanly into your flow, and stays on-brand. If an answer is wrong or vague, it almost always points back to a gap in your profile or FAQ — go fill it in, save, and test the same question again. A few rounds of this and the common path will feel solid.

Then test by voice. In Chrome you can press the microphone button and simply talk to the assistant out loud. It replies in the same voice your callers will hear, so you get a true sense of pacing, pronunciation of your business name, and how natural the conversation feels at speaking speed rather than reading speed. Voice surfaces things chat never will: a name that gets mangled, a reply that runs too long for the phone, or a silence that feels awkward. Try it with background noise on, the way a real call often happens.

Now stop being a polite tester and start playing a difficult caller — because real customers are not always tidy. Be vague: "I need to come in sometime soon, I guess." Be demanding: insist on a slot that does not exist, or ask for a discount you never offered. Interrupt mid-sentence, change your mind halfway through a booking, or pile three questions into one breath. Switch languages in the middle of the conversation and see whether it keeps up. Ask something completely off-topic. The goal is to find the edges where the assistant gets confused, over-promises, or fails to hand off gracefully — far better that you find them than a prospect does.

Pay close attention to how it handles what it does not know. A good answering experience is not one that pretends to know everything; it is one that admits the limit, offers to take a message, or transfers an urgent call to a human. If your assistant invents an answer or talks in circles when cornered, that is a signal to tighten your instructions and add an explicit fallback. Test the escape hatches as deliberately as you test the happy path.

Every test conversation — chat and voice alike — is saved under Calls with the full transcript. This is where the real refinement happens. Read back through a conversation slowly and ask: did it greet the way you want, capture the right details, confirm the booking clearly, and close politely? The transcript shows you exactly what was said on both sides, so you can pinpoint the one line that needs rewording instead of guessing.

Treat the transcript as your edit list. Each time you spot something — a clumsy phrase, a missed detail, a question it should have asked — make one change to the profile or FAQ, save, and run that same scenario again. Comparing the new transcript against the old one tells you immediately whether the fix landed. Small, focused adjustments beat sweeping rewrites, and the transcript keeps you honest about what actually changed.

When you are done, you can delete any test conversation whenever you like, so your Calls list stays clean and only real customer interactions remain. There is no penalty for testing as much as you want — the more difficult callers you role-play today, the more confident you can be that the assistant will handle the genuinely difficult ones tomorrow.