A concierge accelerator trains new founders to win property owners over the phone. We built a voice simulator: trainees call an AI property owner with a real personality, and an AI coach scores the call right after.
Debrief · 7 criteriaStrengthsTo improveOne action for the next call
The situation
New concierge founders learn sales by calling real property owners, which means their first mistakes cost real deals. Coaches cannot listen to every call, and written scripts do not prepare anyone for an owner who interrupts, doubts or says no.
What changed
Trainees practise as often as they need against AI owners who push back like real ones. After each call they get a debrief: a score per criterion, their strengths, what to improve and one concrete action for the next call.
How it works
5 steps, end to end
01
Pick an owner
The trainee chooses one of three owner personas, each with its own temperament.
02
Make the call
A live voice conversation in the browser, with an AI owner who answers, objects and negotiates.
03
Transcript saved
The conversation is stored with the trainee's account and session.
04
Scored debrief
An AI coach scores seven criteria and writes strengths, improvements and one action.
05
Coach dashboard
Admins follow every trainee's sessions and progress in one panel.
Where the AI stops
The model writes. The code decides.
The model
Plays the property owner, live, by voice
Scores the call on seven criteria
Writes strengths, improvements and one action
The code
Enforces a daily usage cap per trainee, server side
Rate-limits every endpoint
Isolates each trainee's data with row-level security
Stores sessions for the admin panel
By the numbers
Counts read in the code we shipped. No invented results.
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