Jobber AI Receptionist Trainer
What It Does
This guided trainer helps you build a structured corpus for an AI receptionist so it can answer leads consistently, collect the right info, and route/schedule jobs without quoting nonsense or booking bad-fit work.
Who It's For
- Jobber users setting up AI receptionist workflows
- Handymen who want faster lead response
- Anyone trying to standardize intake + quoting boundaries
How It Works
Inputs: Services list, pricing rules, exclusions, intake questions, scheduling rules
Outputs: Structured training corpus / rules you can paste into your AI receptionist setup
Frequently Asked Questions
What should an AI receptionist collect from a lead?
At minimum: location, service requested, timing, photos/video if relevant, and any constraints (access, urgency). The goal is to qualify leads before you spend time.
How do I stop it from quoting wrong prices?
Don't let it freestyle. Give clear pricing rules, minimum charges, exclusions, and when to escalate to "we need an on-site assessment." Structure beats creativity here.
What services should I exclude?
Exclude anything you don't want, anything high-liability without inspection, and anything outside your target market. The receptionist should protect your calendar and your brand.
How should it handle scheduling?
Use rules: service categories, lead quality, travel radius, and required info. If required info isn't present, it should request it — not book blindly.
Does this replace my phone entirely?
No. It reduces missed leads and handles common questions. You still own final pricing and exceptions — but the receptionist handles the repetitive intake work.