PlanetScale

PlanetScale dashboard builder:
AI tools that ship.

Connect your PlanetScale database, build admin panels, performance dashboards, and internal tools — all by describing what you want.

Deploy Request #847Ready to deploy
feature/user-analyticsmain
+3 additions0 deletions
--- a/schema/users.sql
+++ b/schema/users.sql
2 CREATE TABLE `users` (
3 `id` bigint NOT NULL AUTO_INCREMENT,
4 `email` varchar(255) NOT NULL,
5 `name` varchar(255) DEFAULT NULL,
6+ `tier` varchar(20) DEFAULT 'free',
7+ `upgraded_at` timestamp NULL DEFAULT NULL,
8 `created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
9 PRIMARY KEY (`id`),
10+ KEY `idx_users_tier` (`tier`),
11 UNIQUE KEY `idx_users_email` (`email`)
12 );
Schema changes will be applied with zero downtime via Vitess online DDL

Built for the scale you’re heading toward.

1B+
rows queried
0ms
downtime on deploy
<2s
schema migration
50+
integrations

Branch. Diff. Deploy. Build.

PlanetScale handles your schema workflow. camelAI handles the application layer. Together, you ship without fear.

PlanetScale

Create development branch

Branch from main for safe schema iteration

pscale branch create mydb feature/user-analytics
PlanetScale

Schema diff

Non-blocking schema change — zero downtime

+ ALTER TABLE users ADD COLUMN tier VARCHAR(20) DEFAULT 'free';
PlanetScale

Deploy request approved

Reviewed, approved, merged — production updated

camelAI

camelAI: "Build a dashboard on the new tier column"

The agent reads your schema, builds the app, and publishes it — in one conversation

What scale-stage teams build with camelAI.

Query performance dashboard

Monitor slow queries, connection pool usage, and queries-per-second across your PlanetScale branches. Spot bottlenecks before your users do.

Schema change tracker

Visualize your deploy request history, migration timeline, and column audit trail. Know exactly what changed, when, and who approved it.

Admin panel

CRUD on production data with role-based access controls — without giving engineers direct database access. Built in minutes, not sprints.

Data migration monitor

Track large migration progress in real time: row counts, error rates, estimated completion. Set up cron-based alerts when migrations stall.

From connection string to app.

camelAIPlanetScale connected
Y
You

Connect to my PlanetScale database — here's the connection string.

c
camelAI

Connected to mydb on PlanetScale (us-east-1). Found 14 tables.

users · orders · products · subscriptions · invoices · +9 more

Y
You

Build me an admin panel for users and orders. Add search, filters, and pagination.

c
camelAI

Done. Your admin panel is live →

admin-panel--acme.camelai.app

>Describe what you want to build...

Skip the boilerplate.

What it takes to build an admin panel on your PlanetScale data — the traditional way vs. camelAI.

Task
Traditional
camelAI
Set up ORM & connection
Install Prisma, write schema, generate client
Paste connection string
Build API layer
REST or tRPC routes, input validation, error handling
Describe your data needs
Design the UI
React components, table library, form state management
Auto-generated with shadcn/ui
Add authentication
Auth library, middleware, session management
Built-in to published apps
Deploy infrastructure
Docker, CI/CD, hosting, SSL, DNS
One-click publish
Time to ship
2–4 weeks
One conversation

What will you build on PlanetScale?

Connect to my PlanetScale database and build a query performance dashboard. Show slow queries, average execution time, and queries-per-second with a 24-hour trend chart.

Try this prompt

Create an admin panel for our users and subscriptions tables. Add search, inline editing, role-based access, and an audit log of every change.

Try this prompt

Analyze our orders table — 200M rows — and build a revenue dashboard with daily trends, top products, and cohort retention. Refresh every hour via cron.

Try this prompt

Build a schema change tracker that shows our deploy request history from PlanetScale, diffs for each migration, and alerts in Slack when a deploy completes.

Try this prompt

Your database already scales.

Now ship what matters.