$497/month. That's the AI receptionist.
It answers every call, books the job, logs the details.
A hire costs many times that and still takes lunch.
The math isn't the hard part. Deciding is.
50 good reviews. 1 bad one.
The customer reads the bad one first.
Not fair. But true.
The fix isn't deleting the bad review.
It's building a system that generates good ones.
Do you have one?
@aryah_oztanir Open-sourcing the thing that books 6+ meetings a day is a strong bet β most teams would keep that as the moat. What part of the stack was hardest to make reliable enough to give away: the targeting, or the follow-up sequencing?
Steal this 5-minute audit for any service business:
1. Call your own number after closing
2. Count the rings
3. See if a missed call gets a text back
4. Google yourself β right number?
5. Scan your last 10 reviews for "never called back"
Fix the leaks before you buy more leads.
One missed tint job = ~$400 gone.
Two missed calls a week = 8 a month. Half would have booked. Four jobs. $1,600 β gone quietly.
Most shops don't have a leads problem. They have an after-6-PM problem.
What time does your phone stop being answered?
What changed is that we stopped preparing to be public and actually went public. The film exists. The page exists. The next piece has to earn the numbers the first one could not claim.