Introducing the Basedash Dashboard Agent

Today we’re launching the Dashboard Agent — the first AI agent that can build an entire dashboard end-to-end.

You describe a dashboard in plain English. The agent picks the chart types, writes the SQL, lays everything out, and hands you something useful in seconds. No more composing a board chart by chart, naming each metric, choosing each visualization, or arranging the grid by hand.

Build dashboards in seconds, not afternoons.

Why we built it

When we first launched Basedash, our vision was to be the most AI-native BI platform on the planet. Back then, the state of the art was text-to-SQL inside the query editor of a single chart. We had a prototype of a full-dashboard agent on day one — but it wasn’t good enough to ship.

So we waited. We invested in our internal harness, the schema understanding, the planning loop, and the small details that make AI-generated charts feel hand-crafted. Models got better. Our system got better. And the gap between “describe a chart” and “describe a dashboard” closed.

The Dashboard Agent is the result. It’s the workflow we always wanted Basedash to have — and the one we believe every team should expect from a modern BI tool.

How the Dashboard Agent works

Tell the agent what you want to see. It does the rest:

1. Reads your schema — across every connected database, warehouse, and SaaS integration
2. Plans the dashboard — picks the metrics, chart types, time series, and grouping that match the intent of your prompt
3. Writes the SQL — generates and validates queries against your real data
4. Lays out the grid — composes a clean dashboard with KPIs at the top and supporting charts beneath
5. Hands you the controls — every chart is a real, editable Basedash chart you can refine, rename, or extend

Vague prompts get a thoughtful default. Prescriptive prompts get exactly what you asked for. Either way, you land on a useful dashboard in seconds instead of an afternoon.

What you can ask for

The Dashboard Agent works for any team and any prompt shape. A few examples we’ve seen internally:

• Growth. “Everything about new user signups this week” — sign-up volume, source breakdown, activation rate, day-over-day deltas.
• Revenue. “Revenue, churn, and expansion this quarter” — MRR over time, net revenue retention, expansion vs. contraction, churn by cohort.
• Support. “Support health — ticket volume, response time, CSAT” — open ticket trends, time-to-first-response, satisfaction scores by channel.
• Product. “Onboarding funnel and where users drop off” — step-by-step conversion, drop-off rates, time between steps.
• Ops. “Pipeline coverage by segment for the next two quarters” — coverage ratios, deal velocity, segment-level forecasts.

You can stay vague and let the agent infer what matters, or pin down the exact metrics, time windows, and breakdowns you want. The output adapts to the level of detail you bring.

How we use it at Basedash

We’ve been running the Dashboard Agent internally for months. The pattern is the same across every team: dashboards that used to be afternoon projects are now the thing we ask for before a meeting.

Before a growth review, someone types out the slice they want and the dashboard exists by the time the call starts. When a support spike shows up in Slack, we generate a board around it, share the link, and dig in together. When a new feature ships, we don’t wait for a data analyst to wire up tracking views — we describe what success looks like and the agent assembles a starting point we can iterate on.

The dashboards aren’t disposable, either. Because every chart is a real Basedash chart, the boards we generate quickly become the boards we live in. The agent gets us 80% of the way there in seconds, and the last 20% is the kind of refinement humans should be doing anyway.

Getting started

The Dashboard Agent is available today for all Basedash users.

1. Sign up for Basedash (or log in)
2. Connect your data sources
3. Open a new dashboard and type what you want to see
4. Refine, save, and share

For more on what’s possible, see the Dashboards feature page or the docs.

What’s next

The Dashboard Agent is a major step toward our vision of an AI-native BI platform — one where the people closest to the question are the ones building the answer.

Combined with AI chat for ad-hoc questions, Insights for proactive findings, and Automations for scheduled workflows, Basedash now covers the full surface of how teams work with data: ask, build, monitor, and deliver.

We’re excited to see what you build with it.

Try the Dashboard Agent today and turn an afternoon of dashboard work into a sentence.