Use case

Build a dashboard app with AI — metrics, charts, and alerts

Mobile-first metrics, charts, drill-downs, and alerts, AI-generated.

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At a glance

Output
Mobile-first native + web
Data
Connects to any REST or GraphQL endpoint
Visuals
KPI cards, line/bar/area charts, tables
Alerts
Threshold-based push notifications
Stack
Expo + React Native, charting lib, REST/GraphQL
Time to first preview
Under five minutes

Example prompt

“Build a native dashboard app with KPI cards, line and bar charts, filters, drill-downs, and alerting.”

What AppGenie generates

AppGenie generates mobile-first dashboards with charts, filters, drill-downs, and alerts. Perfect for ops teams, SaaS metrics, and health monitoring.

KPI cards

At-a-glance KPIs on the home screen.

Charts

Line, bar, and area charts with time filters.

Drill-downs

Tap a chart to explore underlying rows.

Alerts

Threshold-based push notifications.

Inside the dashboard app AppGenie ships

A breakdown of the concrete features wired into the first generated build, grouped by area.

Visualization

  • KPI cards with delta vs previous period
  • Line, bar, and area charts with time filters
  • Tables with sort and filter
  • Drill-down from chart point to underlying rows

Data and refresh

  • REST or GraphQL data layer with auth headers
  • Pull-to-refresh and background refresh
  • Per-widget loading and error states

Alerts

  • Threshold-based alert rules per metric
  • Push notifications with deep link to the chart
  • Mute and snooze controls

Screens you get out of the box

  • Home
  • Report detail
  • Drill-down
  • Alerts
  • Settings

Key screens, and what each one does

  1. Home

    KPI overview with primary charts and key alerts.

  2. Report detail

    Single-metric view with time range and breakdown.

  3. Drill-down

    Underlying rows behind a chart point.

  4. Alerts

    Configure thresholds and review fired alerts.

  5. Settings

    Data sources, refresh intervals, and notifications.

Data model sketch

The default entities AppGenie scaffolds for a dashboard app. Edit the spec at sign-off to add fields, drop entities, or rename anything.

User

  • id
  • email
  • name
  • role
  • createdAt

DataSource

  • id
  • name
  • type
  • baseUrl
  • authHeaders

Metric

  • id
  • name
  • sourceId
  • query
  • unit
  • category

Widget

  • id
  • metricId
  • chartType
  • timeRange
  • position

AlertRule

  • id
  • metricId
  • operator
  • threshold
  • channel
  • isActive

AlertEvent

  • id
  • ruleId
  • triggeredAt
  • value
  • acknowledgedAt

Example prompts to start from

Paste any of these into the AppGenie builder to kick off a new dashboard app, then refine from chat.

“Build a mobile dashboard for SaaS metrics: MRR, active users, churn, and signups, with daily and weekly views.”

“Build an ops dashboard for an e-commerce store: orders, revenue, conversion, and refund rate.”

“Build a server health dashboard with latency, error rate, and uptime, plus a threshold alert on error rate.”

“Add a "compare to last week" toggle on every chart.”

How to build a dashboard app with ai

  1. 1

    Describe your metrics

    List the KPIs and data sources.

  2. 2

    Approve the spec

    Screens, charts, and alerts drafted.

  3. 3

    Iterate

    Refine with follow-up prompts.

  4. 4

    Ship

    Deploy to the team.

How AppGenie builds your dashboard app

A look at the multi-agent pipeline that turns your prompt into a generated codebase.

  1. 1

    A1 picks the dashboard preset

    IntentClassifier reads "dashboard" and routes to the metrics + charts pipeline.

  2. 2

    A3 drafts metrics and widgets

    PRDWriter outlines the metrics, chart types, time ranges, and alert rules for sign-off.

  3. 3

    A4 + A5 generate it

    Architect plans the data layer and chart components; CodeGenerator wires REST/GraphQL hooks and the alert engine.

  4. 4

    A6 validates the build

    Validator runs a build check; you can plug in your real endpoint and preview the dashboard with live data.

The bottom line

Dashboards usually live in a browser tab nobody opens. AppGenie ships a mobile-first dashboard with push alerts in one pipeline run, so the metrics that matter actually show up where your team is.

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Dashboard app — FAQ

Can AppGenie connect to my existing database?

Yes. The generated dashboard app can hit any REST or GraphQL endpoint. AppGenie scaffolds the data layer and you plug in your backend URL.

Ready to build a dashboard app with ai?

Describe it once. AppGenie generates a full production codebase you own, with live preview and diff-aware updates.

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