URBANGPT.AI
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URBANGPT.AI
Saudi Urban Intelligence Studio
Upload your site, configure your commercial brief, and generate AI-customized, non-repetitive prompts for retail, mixed-use, F&B, entertainment, high-street, souk, and commercial-center planning in Saudi Arabia and the Gulf.
A worked example of what the 35-stage workflow produces — the Terraced Lifestyle Promenade, an open-air retail and entertainment destination for Saudi Arabia's Aseer Region, generated end-to-end from concept comparison and master planning through to the final cinematic visualisation.
◈ Case Study · Terraced Lifestyle Promenade, Aseer Region
Stage 6–7 output: a Linear Promenade Mall, a Retail Loop Village and a Terraced Wadi Mall compared across retail performance, climate comfort, identity, leasing and feasibility — resolving to a recommended hybrid, the Terraced Lifestyle Promenade.
Stage 11: the chosen concept developed into a full masterplan — anchor positions, lifestyle and luxury retail courts, the cooling wadi spine, family leisure terraces, an experience journey and a four-phase delivery strategy.
Stages 9–18: zoning strategy, circulation hierarchy, facade DNA, climate-responsive systems, rooftop activation and a section through the wadi promenade — every system coordinated on a single competition board.
Stage 18: a photoreal section-perspective revealing the climate-responsive retail canyon — terraced retail levels, shaded arcades, evaporative cooling water spine, and the service/parking corridor below grade.
Stage 32: leasing hierarchy by frontage rent, parking and access strategy, public-realm value and an investor metrics panel — ~1.6M annual visitors, SAR 2.5B+ projected sales, 10–12% IRR, 7–8 year payback.
Stage 35: the signature hero render — a golden-hour aerial of Aseer's first open-air lifestyle destination, ~70,000 m² site, 45,000–65,000 m² retail GLA, aligned with Vision 2030.
Generate Saudi and Gulf commercial-retail planning packages combining site intelligence, catchment logic, tenant mix, GLA strategy, access and parking systems, climate-responsive public realm, cultural identity, commercial feasibility, and competition-grade visual outputs.
User Guide
UrbanGPT.AI generates expert, project-specific AI prompts — it does not create the images itself. You copy each prompt into your own AI image tool (Midjourney, ChatGPT, Firefly, Stable Diffusion, Leonardo or Flux). Work through the stages in order: each one builds on the last, from site reading to a complete 35-stage commercial-retail planning package.
Step 1 — Your Project
Fill in your project details below. Once all fields are complete, each stage unlocks a ⚡ Generate button — click it to produce AI-customized prompts for that stage on demand.
Purpose-built for commercial, retail, mixed-use, lifestyle, entertainment, F&B, souk, high-street, transit-oriented, and waterfront retail environments across Saudi Arabia and the Gulf region.
12 non-negotiable principles governing quality commercial and retail design in the Saudi and Gulf context. Every prompt generated by this system is built on these foundations.
UrbanGPT.AI now separates universal system rules from stage-specific prompts. Global quality, Saudi/Gulf context, visual standards and board formatting are inherited once, while each stage defines only its unique purpose, output family and prohibited overlaps.
Complete the project setup above — then generate prompts for any stage on demand.
Generate ten print-ready A0 category boards — one per category — built automatically from your project inputs and your developed design.
These lock your design identity and layout so all 10 boards read as one coherent project. Defaults are derived from your theme & climate — edit any field to match your finalized design, then Save. Everything here is injected identically into every board prompt.
--sref or --cref, or img2img). Text alone cannot force identical geometry across separate generations.
For project enquiries, custom configurations, or institutional licences.
Summarise what Stages 1–5 concluded about the site. Defaults are derived from your climate, density, theme and brief — edit to match your analysis, then Apply. This is injected into the Stage 6 concept prompt as the binding basis for scenario formation, and it re-sorts the concept list so the best-fit options for your site surface first (all stay selectable).