B2B marketing runs on numbers it cannot make legible. Campaign performance, funnel metrics, survey results: the data exists, but turning it into something on-brand and shareable means pasting a spreadsheet chart into a deck, in the spreadsheet's default colors, frozen as a picture. Change one number and you redo the whole thing. And it lives in one of the dozens of tools your data is scattered across, disconnected from the brand kit sitting in another.
We think a chart should be an on-brand page you can re-style, not a screenshot. Here is the difference, and why it changes how your reporting looks and how much it costs to maintain.
The real problem: a chart is a dead-end picture
The moment a chart becomes an image, it stops being data. You cannot re-color it to the brand without rebuilding it. You cannot change a value without regenerating it. You cannot export it at a different size or format without starting over. And nothing else can reuse the underlying numbers, because they are gone, flattened into pixels.
This is the file-format trap applied to data. The format of an output, a PNG, an HTML page, a PDF, should be a rendering concern, never a property baked into the data. When a chart is a screenshot, the format is baked in, and the data is trapped inside it.
Our take: one data spec, many renders, brand by default
Two principles.
A chart is a live, on-brand page. When you run the Create a Chart Job, the numbers stay live: the chart is filed as an on-brand HTML page whose data spec is the source of truth. That means you can re-style it into any brand and export it to PNG, HTML, or PDF from the same spec. The picture is a preview, not the artifact.
Brand is applied by the engine. The org's default brand style is resolved automatically. Even before you have built a brand kit, a chart saves brand-styled via a house default, with the accent color leading. You never pick colors, and the chart is never off-brand.
Never invents figures. Show what is there honestly rather than padding. That is a product principle, not a caveat, and the antidote to a hallucinated dashboard.
How the Jobs actually work
There are two complementary paths, for two real needs.
Create a Chart takes raw data (a CSV or JSON paste) plus an optional intent and a chart type. The model extracts a structured spec and binds only the numbers your data states, it never invents figures, and if the data yields nothing chartable it says so rather than fabricating a chart. The four types map to real, vetted visualization components: a bar chart, a pie chart, a data table, and a single KPI metric. Because the spec is the source of truth, the same chart re-renders in any brand style on export.
Build a Dashboard composes a whole on-brand dashboard page in one shot: a row of KPI cards with headline numbers and change-versus-prior where the data supports it, one or more charts, and a supporting table, laid out with clear hierarchy and brand color. Its grounding rule is pinned and blunt: use only the numbers present in the content, never invent metrics, and if the data is thin, show what is there honestly rather than padding.
Both open in the page editor for refinement, and both export to the formats a report actually needs.
Honesty is the feature
It is worth dwelling on the "never invent" rule, because it is the whole game for reporting. A dashboard's value is that you can trust it in front of a stakeholder. A tool that pads a thin dataset to look complete has destroyed that trust the first time someone checks a number. So the platform binds only real figures and, when the data is thin, shows the thin truth. An honest dashboard beats an impressive fabrication every time it matters.
Because charts are real blocks, they flow onward: into a sales deck, an infographic, or a performance report, all drawing on the same live spec instead of a stale screenshot.
Bind the real numbers. Let the engine apply the brand. Keep the spec live so one chart becomes any format. That is data visualization that stays useful long after the deck is closed.
Related: analyze what the numbers are telling you and act on it, and build a media plan whose funnel math you can trust.
