Automation design principles

Automated templates work because they follow a small set of design rules consistently—not because the automation itself is clever. The rules matter more than the tooling.

Data-driven, not data-fragile

A good template holds up regardless of what data flows through it. Visual hierarchy should emphasize the most important number automatically—whether that's a 5K personal best or a 40% price swing—without needing to be manually rebalanced for each case.

One template, many uses

The same layout should work whether the underlying content is a workout, a price chart, or a tweet, with just the data and a few style choices changing. That's what makes a template durable rather than a one-off.

Consistency over novelty

Fonts, colors, and spacing should stay predictable across every generated image. It's tempting to vary things for visual interest, but consistency is what makes a feed or a brand recognizable—novelty for its own sake works against that.

What to automate vs. what to leave adjustable

Automate the mechanical parts: data formatting, layout positioning, color application based on rules (green for gains, red for losses, say). Leave brand choices adjustable: colors, fonts, template style. And leave content choices in the user's hands entirely: which data to show, what format to export.

Design for the platform, not just the data

Stories (9:16) need large, legible text because they're viewed briefly on a phone. Feed posts (1:1) need to hold up as a small thumbnail before anyone taps in. The same underlying data can need different treatment depending on where it's going.

Good automation isn't about generating something automatically—plenty of tools do that badly. It's about generating something that looks intentional every time, regardless of what data comes through.