PeakQi has shipped 30+ live AI systems, custom platforms and brand sites across 8+ industry scenarios — weddings, interior design, real estate, beauty, group-buy commerce and more. Everything on this page is a real product screenshot, not a concept mock. Each featured case covers the problem before rollout, what was deployed, how AI and people split the work, and the outcomes in that case — each with its own citable page.
What follows is the inside of the system itself.
Where things were stuck, what we deployed, and how AI and people split the work.
Dress styles, dates, makeup trials and package questions all piled into LINE. Support answered on repeat, then re-typed everything into forms and group chats.
Dress try-on, hair and makeup previews, scene generation — plus AI intake.
AI handles FAQs and try-on previews first; pricing, dates and special requests go to a person.
Every style change meant redrawing, re-rendering and rebuilding the deck. Designers spent their time on revisions, not design.
Space renders, style previews and auto proposal decks — one platform.
AI drafts the styles and deck layout; materials, quotes and the final deck ship only after the designer signs off.
Every SEO article meant keyword research, outlining, drafting, images and uploading — from scratch each time. Articles had no site structure between them, output was a few a month, and nobody tracked rankings.
A senior SEO consultant's method turned into an 8-step workflow: keyword clustering, SEO MAP, batch generation, images, checks, one-click WordPress publishing, GSC tracking.
AI produces the structure, drafts and check scores; which keywords to pursue and whether a piece goes live is confirmed by the marketer in the editor before publishing.
Posts, review replies, closure notices and banquet quotes waited until after closing and were written from scratch each time. When things got busy they were set aside — reviews went unanswered for days.
One AI manager dispatching 23 specialist assistants: one sentence in, ready-to-use posts, review replies, notices and quotes out — into a review queue.
AI only drafts, and asks first when hard facts like prices or dates are missing; every piece is approved by the restaurant before it goes out.
Start with one high-value scenario — then, once it proves out, grow it into a cross-team operations platform.
Custom track record: the Chiayi Expo official site, brand sites, warehouse monitoring, ticketing, a community app and more — including city-level event sites.