Live Operational Dashboards

Turn workflow output into live dashboards where every chart is powered by a real, inspectable workflow.

Discuss your use case View the template

The problem

Operational numbers live in scattered sheets and ad hoc queries. Building a live dashboard usually means a BI project, and nobody can verify how a chart was computed.

How it runs today

Teams export CSVs, paste numbers into slides, and rebuild the same charts by hand every week, with no reliable way to trace a figure back to its source.

With Heym

Every widget is a workflow ending in a Chart Output node, so the chart and its logic live together. Describe a widget and AI builds it, with TTL caching keeping it fast.

The workflow, end to end

The KPI Anomaly Slack Watch template is an importable starting point: it reads KPI rows from Google Sheets, detects unusual changes with AI, and alerts Slack. Add a Chart Output node to publish the same series as a live dashboard widget.

Data sourcesWorkflow with Chart OutputDashboard widgetLive, cached charts

KPI Anomaly Slack Watch

Sticky Note

KPI watch setup

Connect a KPI sheet with date, metric, value, segment, and owner.
Tune thresholds in detectKpiAnomalies.
The condition looks for ANOMALY_REVIEW.
Test with known normal and abnormal rows.

kpiWatchSchedule

readKpiRows

detectKpiAnomalies

GLM-4.7

kpiAnomalyCheck

true

false

postKpiAnomaly

kpiAnomalyResult

kpiWatchResult

Sticky Note

Live run checklist

Test both exits around kpiAnomalyCheck before going live.
Tune the schedule, wait, or batch size first so repeated runs stay predictable.
Double-check postKpiAnomaly before sending alerts or messages to a live destination.

Open this template, inspect every node, and import it

See it in Heym

A short walkthrough recorded in the product.

Heym Dashboards: Build Interactive Dashboards with AI — Building an interactive dashboard with AI, from describing a widget to seeing the workflow-powered chart render.

Where control lives

Each widget is inspectable: open its workflow to see exactly which data sources and transformations produced the chart, with every refresh recorded in workflow history.

Live dashboards the team can trust, because every chart traces back to a workflow you can open and audit.

Built with these Heym capabilities

Chart Output node

AI widget generation

Widget fine-tuning

TTL caching

Drag and resize layouts

DataTable storage

Cron scheduled refresh

Slack and email alerts

Common applications

Sales and pipeline dashboardsSupport quality metricsCost and usage trackingMarketing campaign metricsData pipeline health boardsKPI anomaly monitoring

Deployment and integration

Self-host with Docker or Kubernetes, keeping data on your infrastructure.
Connect your own model providers: OpenAI, Ollama, vLLM, and more.
Integrate over HTTP, webhooks, Slack, email, and MCP tools.
Expose finished workflows as APIs, portals, or MCP servers.

Have a process that fits this pattern?

Show us the workflow, data sources, tools, and human decisions involved. We will help map it to Heym.

Discuss your use case Explore workflow templates