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 #847
Ready to deploy
feature/user-analyticsmain
+3 additions 0 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.
Create development branch
Branch from main for safe schema iteration
pscale branch create mydb feature/user-analytics
Schema diff
Non-blocking schema change — zero downtime
- ALTER TABLE users ADD COLUMN tier VARCHAR(20) DEFAULT 'free';
Deploy request approved
Reviewed, approved, merged — production updated
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
Connect to my PlanetScale database — here's the connection string.
camelAI
Connected to mydb on PlanetScale (us-east-1). Found 14 tables.
users · orders · products · subscriptions · invoices · +9 more
You
Build me an admin panel for users and orders. Add search, filters, and pagination.
camelAI
Done. Your admin panel is live → admin-panel--acme.camelai.app
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.”
“Create an admin panel for our users and subscriptions tables. Add search, inline editing, role-based access, and an audit log of every change.”
“Analyze our orders table — 200M rows — and build a revenue dashboard with daily trends, top products, and cohort retention. Refresh every hour via cron.”
“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.”
Your database already scales.
Now ship what matters.