Civic & Government Tools
Build an AI-powered road repair reporting system
Kliv is an AI app builder. Describe your road repair reporting flow, from resident photos to crew work orders and public status, and it builds the system around it.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a municipal complaint product you rent — it’s an AI app builder that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the database, resident forms, staff workflows, dashboards, permissions, files, and scheduled jobs. What you get is a real web app that’s yours, live on your own domain, and you can keep changing it by asking for changes.
On this page, that app is an AI-powered road repair reporting system. Kliv builds all kinds of web apps; civic reporting tools are one example.
Why build your own road repair reporting system?
When nine residents report the same pothole, an inbox sees nine chores. A real system sees one defect, nine photos, and nine people who should get the closed notice.
Kliv builds the part after the complaint: triage, duplicate detection, dispatch, material tracking, and a ward-by-ward dashboard. The same rows that crews update are the rows the council and the public read.
Report, defect, crew: three tables and a map
The system works because each step is stored as data.
The report
A photo, map pin, timestamp, and optional email. The reporter gets a status link; no account is required to care about a road.
The defect
Reports within 20 meters merge into one defect with size, road class, and severity. The ninth report adds another subscriber, not another ticket.
The work order
Each defect can have one open work order with crew, date, location, and material. A second dispatch attempt surfaces the existing order instead of creating a duplicate.
The season switch
Winter shows a cold-patch triage list. Spring ranks the hot-mix backlog by severity and traffic. The same defects can feed different queues.
The ward ledger
Cost, tonnage, average days to repair, and closed defects by ward. The council dashboard reads the work-order rows directly.
An example: Halvard’s streets department
Here’s how one department might use it. It’s only an example — you would describe your own streets, crews, and repair rules.
Nine reports become one defect
During a thaw, nine photos of the Birch Street crater arrive before noon. The map clusters them into one defect, and nine reporters become subscribers to that record.
A supervisor confirms the AI draft
Image recognition drafts the classification and severity: pothole, roughly 60 centimeters, in the wheel path. A supervisor confirms it before a crew is dispatched.
One crew gets one work order
Crew two receives the work order with location and material. The foreman closes it from the truck and attaches an after-photo, so the road and the record change state together.
Residents get the closed notice
Every subscriber gets a status update with the after-photo. The office gets fewer calls because the status link tells the truth.
A failed patch reopens with history
If the cold patch fails in June, the defect reopens with its photos, tonnage, and dates still attached. It joins the hot-mix backlog with its history intact.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Describe intake, duplicate rules, crew workflow, status notices, and dashboards. Here are three to build on:
Pothole intake queue
Photo reports, map pins, severity, and subscribers.
“Build an AI-powered pothole reporting app. Residents submit a photo and map pin, reports within 20 meters merge into one defect, image recognition drafts classification and severity for supervisor review, and every reporter gets status updates.”
Crew work orders
Single assignment, field closure, and before-and-after photos.
“Add crew dispatch for our streets department. Each defect should have only one open work order, with assigned crew, scheduled date, material used, before-and-after photos, and closure from a phone in the field.”
Council ward dashboard
Public repair status and operational metrics.
“Build a public ward dashboard that shows open defects, average days to repair, reopen rate, and tonnage by ward, computed from the live work-order table and updated automatically.”
What the council sees
The dashboard works because it is not a separate report. Days to repair by ward is calculated from the same work orders the crews close, so the public number and dispatch number cannot drift apart.
Roles are enforced where they matter. Residents follow their own reports, crews see their own work orders, and closing a work order requires a foreman’s sign-in. The button is not enough; the database checks again.
A scheduled job can send Halvard Monday’s ranked backlog and last week’s tonnage. When the annual paving survey needs numbers, the app is already counting reports per mile, reopen rates, and cost per ward.
Streets is one door in the municipal hallway. Behind the others — permits, fleet, parks — the same inbox problem is waiting for the same rebuild; the internal-tools rebuild walks the rest of the hallway.
Common questions
What exactly is Kliv?
Kliv is an AI app builder that creates custom web apps from a description. For road repair reporting, it builds the resident intake, maps, defect records, work orders, dashboards, roles, and scheduled updates.
Do I get a real app, or a template?
A real app. Kliv builds the workflow and database around your department’s streets, crews, seasons, and reporting needs.
Can I change it after it’s built?
Yes. You can ask Kliv to change duplicate rules, add a queue, revise dashboards, or add another report type later.
Do residents need accounts to report a pothole?
No. A report can be just a photo and a pin. An email is optional and only needed for status updates.
What does the AI actually do?
Image recognition can draft the defect classification and severity from photos. A supervisor confirms before dispatch. Clustering nearby reports and ranking queues are ordinary geometry and rules.
Can two crews end up on the same hole?
No. A defect can hold one open work order at a time. A second dispatch attempt shows the existing order instead of creating a duplicate.
Whose data is this?
The town’s. Reports, photos, work orders, and tonnage live in the department’s database and can be exported as public records.
Can the public see repair status?
Yes. You can publish a public dashboard showing open defects, closed notices, average repair time, and ward-level totals.
Can crews use it from the field?
Yes. Crews can open work orders, add photos, and close jobs from a phone, with permissions tied to their staff roles.
Can I use my own domain?
Yes. The reporting site can run on your own domain and go live as soon as you build it.
Can I move off Kliv later?
Yes. The code syncs to your own Git repository, so leaving is a git pull, not a rebuild.
Do I need a separate dashboard tool?
No. The app can include the public dashboard, staff dashboard, scheduled emails, and export views in the same system.
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Start with the street everyone calls about
Describe how residents report defects, how your crews work, and what the council needs to see. Kliv builds the intake and the workflow behind it.