Zolie answers every call while you're busy, in your own cloned voice — and turns them into bookings. $2k booking revenue captured in May at Mellow Beauty Spa, ~$4k revenue increase in a Bellevue Brow & Skin Studio.
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Maker
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I built Callie after watching appointment businesses — spas, salons, barbershops — lose real revenue every time a call went unanswered while the owner was mid-service or closed for the day.
Callie is an AI receptionist that picks up those missed calls in a clone of the owner's own voice. It answers questions about services and prices from the business's real catalog, and books confirmed appointments directly into owner's calendar during the call. Robocalls and spam get filtered out, and every real call comes through as a text recap.
It rings the owner first and only steps in when they can't reach the phone — so it's overflow, not a replacement. Setup takes about 10 minutes, you keep your existing number, and every plan has a 14-day free trial.
You can call a live demo before signing up at setandforget.ai. Would genuinely love your feedback and questions!
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How well does the cloned voice handle accents or noisy backgrounds from real customers calling in on the go?
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Maker
@hayrettin960311 Great question! The speech recognition is trained to handle a wide range of accents well, and it holds up reasonably well in moderate background noise — though very loud environments (like construction or a crowded bar) can still trip it up occasionally. We're continuing to tune this as we get more real-world call data.
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Curious how it handles situations when someone asks something totally off-script or tries to negotiate pricing on the fly?
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Maker
@mbitirim86866 If a caller goes off-script, Callie tries to stay within its knowledge base (services, prices, hours, etc.) and will politely redirect or offer to have the owner follow up if it's outside that scope. It's not designed to negotiate pricing — it sticks to the business's listed rates to avoid over-promising anything on the owner's behalf.
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how does the voice cloning actually sound in real calls, like does it really come through as natural or is it obviously robotic once people are on the line a bit longer
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Maker
@nazmiyeb97v Great question — most callers can't tell it's cloned, especially in the first part of the call. On longer calls it can occasionally sound slightly flatter in tone, but we're continually refining the model to keep it natural throughout.
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Love that it actually picks up and books in your real voice. The calendar integration feels solid too, no awkward handoffs when I tested it with a fake client call.
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Maker
@emredwp1 Really glad it felt smooth for you! Seamless handoff was a big focus for us, so great to hear it held up in your test.
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The cloned voice angle is genuinely clever, way more natural than the usual robotic receptionist fare. Love that you're leading with real booking revenue instead of feature lists.
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Maker
@havvamehel Thank you! That was intentional — we wanted to show real impact rather than just a feature list. Appreciate you noticing!
How well does the cloned voice handle accents or noisy backgrounds from real customers calling in on the go?
@hayrettin960311 Great question! The speech recognition is trained to handle a wide range of accents well, and it holds up reasonably well in moderate background noise — though very loud environments (like construction or a crowded bar) can still trip it up occasionally. We're continuing to tune this as we get more real-world call data.
Curious how it handles situations when someone asks something totally off-script or tries to negotiate pricing on the fly?
@mbitirim86866 If a caller goes off-script, Callie tries to stay within its knowledge base (services, prices, hours, etc.) and will politely redirect or offer to have the owner follow up if it's outside that scope. It's not designed to negotiate pricing — it sticks to the business's listed rates to avoid over-promising anything on the owner's behalf.
how does the voice cloning actually sound in real calls, like does it really come through as natural or is it obviously robotic once people are on the line a bit longer
@nazmiyeb97v Great question — most callers can't tell it's cloned, especially in the first part of the call. On longer calls it can occasionally sound slightly flatter in tone, but we're continually refining the model to keep it natural throughout.
Love that it actually picks up and books in your real voice. The calendar integration feels solid too, no awkward handoffs when I tested it with a fake client call.
@emredwp1 Really glad it felt smooth for you! Seamless handoff was a big focus for us, so great to hear it held up in your test.
The cloned voice angle is genuinely clever, way more natural than the usual robotic receptionist fare. Love that you're leading with real booking revenue instead of feature lists.
@havvamehel Thank you! That was intentional — we wanted to show real impact rather than just a feature list. Appreciate you noticing!