Service Appointment Scheduler

The problem this kills

Booking a service or repair visit shouldn't take six phone calls and three sticky notes. But for most service teams it does. A request comes in, and now your coordinator is flipping between a roster spreadsheet, a wall calendar, and a group chat trying to answer one simple question: who is qualified, free, and close enough to actually show up on time?

The result is double-booked technicians, visits sent to the wrong zone, jobs handed to someone who isn't certified for that equipment, and customers waiting on a callback that never comes. The knowledge lives in one person's head, and when they're out, booking grinds to a halt.

This plan replaces the phone-tag scramble with a tool that does the matching for you - and still keeps a human firmly in charge of the final yes.

What you'll build

A simple web app your team logs into where:

• A service request comes in (typed in, or imported from a form/CSV) with the customer's location, the job type, and how urgent it is.
• The tool instantly finds the qualified technicians - the right skills for that job, working the right service zone.
• It computes open time slots for those technicians, respecting their availability and the travel time between jobs so you don't promise a slot that's physically impossible.
• It proposes a short list of tech + slot options to offer the customer.
• Your coordinator reviews and confirms the choice. Only then is the appointment booked.
• The customer and the technician each get a clean confirmation email via Resend, and the booking is written to the schedule with a full audit record.

What's inside the Implementation Plan

The plan is a complete, paste-and-go runbook for an AI coding agent (Claude Code). You don't write code - you paste the plan, answer some questions, and watch it build.

It opens by interviewing you about your business. Before a single line is built, the plan makes the agent ask about your real process: your job types and which skills they need, how you define service zones, how your technicians' availability is tracked today, your typical and peak booking volumes, your travel-time and double-booking rules, and your messy exceptions (emergency jobs, two-tech visits, no-shows). It reads back a short tailored spec, you give a thumbs-up, and then it builds a tool shaped to how you actually work - not a generic template you have to bend yourself around.

Inside you'll find: the full data model for requests, technicians, skills, zones, and appointments; step-by-step build prompts you copy and paste; the matching and slot-finding logic; the confirmation emails; and the verification checklist so you know it works.

The governance it includes (this is the point)

This isn't a toy. The plan bakes in the controls a real service operation needs:

• Login so only your team can use it.
• Row-level security so each organization only ever sees its own requests, roster, and bookings.
• A complete audit trail - who proposed a slot, who confirmed it, and exactly when.
• A human approval gate - the AI proposes tech + slot options, but nothing is booked until a coordinator confirms. The tool drafts; a person decides.
• Duplicate guards - one service request maps to one active appointment, so the same job can't be booked twice and a technician can't be double-booked for the same time.

Who it's for

Service coordinators and dispatchers who book field visits - HVAC, appliance repair, IT field service, property maintenance, medical equipment, anything where the right person has to be in the right place at the right time. If you live in a roster spreadsheet and a phone, this is for you. No coding experience needed.

You've got this - paste the first prompt and let the agent interview you.