Feature Requests

“undo last fix” functionality (client-side state rollback) outreach to design creators, collect early feedback prepare post-launch marketing outcome: ready for early adopters, feedback cycle, and marketing push

final deploy: webapp (vercel), supabase (live db), addon (signed package) submit addon to adobe express add-on marketplace prepare fallback for unsupported node types and media assets add analytics + error logging for post-launch monitoring outcome: product is live, connected across surfaces, and submitted to adobe

internal qa for canvas parsing, fix engine edge cases, fail states cross-browser test adobe addon panel + sandbox fix engine export report as json / png / pdf (branded format) finalize billing tier logic (free/paid prompt usage) set up adobe auth to sync users across addon and webapp prepare the needed assets from the publishing guide outcome: crevia ai mvp is functional, testable, and ready for deployment

build brand setup ui (name, industry, logo, colors, fonts, target audience) store user brand profile in supabase (postgresql schema) create dashboard for report history, average score, most common issues display score trends over time and ai fixes performed connect brand profile to prompt engine dynamically outcome: webapp is functional with persistent brand data + report tracking