Salon Information
The three layers that shape your AI receptionist — Personality, Procedures, and Salon Knowledge. What each one does and how to edit your salon settings.
Your AI receptionist is customized across three layers, each editable independently from your dashboard. The save result tells you whether the update is live or still syncing.
The Three Layers
| Layer | What it controls | Examples |
|---|---|---|
| Personality | Tone, warmth, speaking style | Formal vs. casual, chatty vs. efficient, the name the AI goes by |
| Procedures | Call flows and rules | Booking steps, cancellation steps, when to escalate to a human, when to take a message |
| Salon Knowledge | Salon-specific facts | Parking, hours, policies, staff specialties, promotions |
These three combine with three automatically-built layers (live Square data, session context like current time and status, client memories from previous calls) to produce the prompt the AI uses on each call.
Personality
The personality layer is short — a few paragraphs — and sets the how of every sentence the AI speaks.
Example (high-end salon):
You are Marissa, the receptionist at Luxe Midtown. You speak with
warmth and polish. You never rush the caller. You remember that this
salon's clients expect to be treated like the regulars they are, even
on their first call.
Example (neighborhood barbershop):
You're the front desk at Mike's. Keep it short, keep it friendly, no
unnecessary small talk. Match the caller's energy. Always confirm the
barber before booking.
The agent's name is set here. So is its language style, its tone with different caller types (rushed, chatty, nervous, frustrated), and any taglines or phrases you want it to use consistently.
Procedures
The procedures layer defines call flows — the numbered steps the AI follows for each situation.
FrontdeQ ships with a default procedures layer covering:
- New Booking — location, service, stylist, availability, contact details, confirmation
- Reschedule — identify the booking, find new availability, update
- Cancel — identify the caller, list bookings, confirm, cancel (see Cancel Flow)
- Pricing Questions — always use
list_services, never guess - Walk-ins — search today immediately, offer alternatives if full
- Escalation — when to transfer to a human, what to do when transfer fails (take a message)
- Voicemails — when salon is closed, what to collect, urgency levels
- Interruption handling — barge-in, mid-booking context changes, re-opened topics
You don't rewrite these from scratch. You add salon-specific overrides:
## Walk-ins
Only take walk-ins with Sofia on Thursdays. For any other day, tell
the caller we don't accept walk-ins and offer a same-day booking if
available.
Describe your salon policies in plain language. Identity checks, appointment confirmation and text consent remain protected.
Salon Knowledge
The knowledge layer is the most concrete — the facts your AI needs to answer questions that aren't a simple booking.
Organize it however is easiest to read. A common structure:
- Location & Parking — address, parking instructions, nearest landmarks
- Hours — regular hours, holiday schedule, seasonal variations
- Staff — each stylist, their specialties, schedule patterns
- Policies — cancellation, late arrival, refunds, gift cards
- Services beyond Square — anything bookable outside Square (weddings, events, consultations)
- Products — brands carried, bond treatments, color lines
- FAQs — the questions every caller asks (do you take walk-ins? do you have parking? is it kid-friendly?)
The AI pulls from this layer whenever a caller asks a factual question. If the answer is unavailable, the receptionist explains what it could not verify and can offer to record a message without promising a callback.
Editing Your Settings
Open Settings → Integrations → Salon information. Add your answers under What should callers know?, describe the tone under Receptionist style, and add policies under How your salon works. Your existing custom content is preserved. You can edit one field without rewriting the others.
Save the form and check its result. An update that is still syncing is not yet confirmed live. Advanced voice settings, conversation templates and simulation cases are managed internally in Retell. You do not need to edit raw prompt files.
Improving Answers
Start with accurate parking information, policies and frequently asked questions. Review caller outcomes and messages in FrontdeQ. Our team uses Retell's testing and quality tools to investigate conversation issues and review template improvements. FrontdeQ does not automatically rewrite your settings or publish AI suggestions.