Build an Operations Dashboard with AI

Anything with an API or a Postgres connection string. Built-in: Supabase, Stripe, OpenAI, Anthropic. Add others by giving the AI an API key and asking it to wire the integration. For warehouses (BigQuery, Snowflake, Redshift), expose a Postgres-compatible read replica or a query API.

Yes. Add Supabase auth with a role field on each user. The dashboard reads the role and shows the matching layout. Ops manager sees overview + drill-downs; fulfilment sees the order queue only; support sees their tickets and SLA. One codebase, role-based rendering.

Two patterns. Polling (refresh every N seconds for low-volume dashboards) is the default. For real-time, use Supabase realtime subscriptions or Postgres LISTEN/NOTIFY, the AI scaffolds either based on the prompt. Dashboards under 50 viewers can poll cheaply; high-traffic ones should use realtime.

Yes. Add a thresholds table per metric (low-stock count > 5, SLA breach minutes > 30) and a scheduled function that checks every N minutes. When tripped, send via Resend (email) or Slack incoming webhook. Webtwizz scaffolds the cron and the alert logic from one prompt.

Add a separate route /executive that pulls the same data but renders a stripped-down read-only view. Magic-link auth so execs don't need accounts. For clients (e.g. agency reporting to a brand), scope the data via row-level security so each client sees only their slice.