Design Buddy

Design Buddy is an AI design reviewer for Canva, Figma, and Adobe Express. It reads real colors, fonts, spacing, and contrast from a design and returns specific fix-it feedback on layout, typography, and accessibility, aimed at marketers and non-designers who need a quality check before sharing work.

Design Buddy is an AI design reviewer that lives inside the tools many people already use to produce marketing assets, slides, social posts, and product interfaces. It reviews a design and returns specific, actionable feedback on layout, color, typography, and accessibility, so the person making the asset can fix problems before a manager, client, or stakeholder sees them. The stated audience is non-designers: marketing teams, product managers, startup founders, and anyone who ended up doing design work without formal training. The review runs against the actual structure of the file rather than a flattened picture of it. Design Buddy reads exact hex codes, font names, and sizes straight from the design, understands how elements are spaced and aligned, and calculates real contrast ratios. It also identifies what kind of asset it is looking at and adjusts the review accordingly, so a social post is not judged by the same checklist as a pitch deck. The claimed workflow is a loop: select the design, request a review, apply targeted changes, then request another review and watch the feedback change. The practical difference from a general chatbot is context. Tools like ChatGPT, Claude, and Gemini can comment on an image render of a design, but they cannot see the underlying color values, font sizes, or element structure, and they do not sit inside the editor. Design Buddy ships as a Figma plugin, a Canva app, and an Adobe Express add-on, so there is no exporting or re-uploading between steps. A single API key activates the tool across all three platforms. It sits in the pre-review stage of a design workflow, not the creation stage. It does not generate layouts or assets; it critiques what already exists. That makes it a reasonable substitute for a second pair of eyes on small teams without a dedicated designer, and a weaker fit for experienced designers who want generative help or deep craft critique beyond framework-based checks.