Pick up after hours
Use a shop-approved greeting and ask for the appliance, brand, issue, ZIP code, and the best time to call back.
Exploring Claude-assisted call intake
The next caller gets through.
ShopAnswer is an early concept for independent appliance repair shops. We want to test whether Claude can turn after-hours calls into a clear callback brief, while a person stays in control of diagnosis, pricing, and scheduling. This prototype does not call Claude.
Concept prototype · No real calls, bookings, or integrations yet
Example intakeSample conversation
Incoming caller · Sample onlyJordan · Washer repair
Thanks for calling. What is the washer doing?
It fills, but it won't drain. It's a Whirlpool, maybe six years old.
I can pass those details to the shop. What ZIP code is the appliance in?
Washer · Won't drain · WhirlpoolReady for review
Assistant gathers detailsShop reviews and follows up
01 Capture the call02 Organize the details03 Hand off to the shopHuman-approved decisions
A small, practical job
Catch the details.
Save the callback.
A repair intake is useful when it takes information off the owner's plate without pretending to be a technician or dispatcher.
Send a clean job brief
Turn the conversation into a readable summary with the customer's own words and any missing details clearly marked.
Keep the shop in charge
Route the request to the shop. Any appointment, estimate, repair advice, and customer commitment stays with a person.
Interactive sample
Hear how intake could work.
Choose a fictional call. The page shows a scripted example and the details an assistant might pass along. Nothing is sent or scheduled.
Pick a sample request
What came in?
See how the same short intake can capture a different repair request.
This is a local scripted demo. It does not use AI or contact a phone, customer, calendar, or repair business.
Washer intake · sample transcriptHuman follow-up needed
Call summary for the shop
Try the handoff
Turn fictional call notes into a shop brief.
This small prototype formats what a caller reported. It does not diagnose the appliance or send the details anywhere.
Safe by design
Helpful on the phone.
Careful with the call.
An early service would start with a narrow intake script. Shop-specific rules and human review would be required before any real customer calls.
Collect, summarize, route
Caller details, appliance make and model, the reported symptom, service area, preferred callback window, and a clear handoff.
Diagnoses, prices, urgent decisions
No repair instructions, final quotes, promises of availability, or decisions about emergencies. Escalation wording would follow the shop's approved policy.
Planned Claude evaluation
Test a narrow job, with a person in charge.
The product hypothesis is that Claude can turn a caller's own description into a useful callback brief without acting like a technician. This is planned work; the prototype currently uses no Claude API.
Keep the caller's meaning
Identify appliance, brand, reported symptom, service ZIP, and callback preference. Mark unknown details as missing.
Check the brief
Test fictional call examples for field accuracy, missing information, and whether the summary preserves the caller's words.
Leave decisions to staff
A person reviews every intake. The model would not diagnose faults, quote prices, promise availability, or handle emergencies.
Early concept · seeking validation
Start with one shop and a short trial.
The next step is to learn whether independent repair shops lose useful calls after hours and whether a well-configured intake flow would help. This page is a concept preview, not a live service or offer to accept customers.
No live phone number, calendar connection, customer data collection, or paid service is active.