Step-by-step guide

How to Build a Real-Time Dashboard with AI — Charts, Tables, and Filters

Create interactive dashboards with AI. Real-time data visualization, charts, filterable tables, date pickers, and role-based access. Step-by-step guide.

1

Define Your Metrics

Tell AI what you need to track: 'A sales dashboard showing revenue over time (line chart), top products (bar chart), orders by region (map), and a real-time feed of recent transactions.'

2

AI Builds the Visualization

Interactive charts with hover tooltips, click-to-filter, and responsive sizing. Data tables with sorting, searching, pagination, and CSV export. Date range pickers with presets (today, this week, this month).

3

Connect Data Sources

Wire up your dashboard to real data: PostgreSQL queries, REST API endpoints, WebSocket for real-time updates. The AI generates the data layer and proper caching for fast load times.

4

Add Access Controls

'Admin sees everything, managers see their team, sales reps see their own data.' The AI implements role-based access control that filters data and hides sections based on user permissions.

5

Deploy and Share

Deploy your dashboard. Share specific views via URLs. Set up automated email reports. Embed charts in other apps via iframe. Your dashboard is production-ready from day one.

Typical completion time: 5-15 minutes

42
AI Models
71
Agent Skills
100M
Max Monthly Tokens
$0
To Start

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Follow the steps above with a free Multos AI account. No credit card required.

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