Build a data reporting app with AI. Production-ready, in one prompt.

Operate the reporting pipeline: datasets that refresh on schedule, report definitions with recipients, run history with failures, and ad-hoc exports. Describe it once and Atomix builds the whole app — sign-in, database, payments and hosting built in — tested in a real browser before you see it.

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The screens it comes with
  • Pipeline Health

    Run successes vs failures, stale datasets and pending exports at a glance.

  • Datasets

    Every source table with cadence and freshness; select one to see its reports.

  • Reports

    Report definitions with schedule and recipients; pause or activate.

  • Run History

    Every run in time order with duration and failures; retry from here.

  • Exports

    Ad-hoc export requests from pending to downloaded.

  • Settings

    Delivery windows, export expiry and failure notification routing.

An example screen made with Atomix for a data reporting
An example made with Atomix components. Yours is designed for your business — never a template.
What it keeps track of
  • Dataset

    A refreshable source table that reports read from.

    namesourcerow countrefresh cadencerefresh statusowner

  • Report

    A defined deliverable with a format, schedule and recipients.

    nameformatschedulerecipient countowner namestatus

  • ReportRun

    One execution of a report, successful or not.

    duration secondsrow countstatuserror message

  • ExportJob

    A one-off export requested by a stakeholder.

    requested byformatfilter summaryrow countstatus

Who it is for
  • Data engineer

    Keeps datasets fresh and runs succeeding.

  • Analyst

    Defines reports and serves export requests.

  • Stakeholder

    Receives reports and requests one-off exports.

Built in, every time
  • Sign-up and sign-in
  • A real database
  • Payments with Stripe or Razorpay
  • Live on a link in one click
  • Light and dark, phone and laptop
  • Export the code (paid plans)