URBANGPT.AI
Premium
URBANGPT.AI
Saudi Urban Intelligence Studio
Upload your site, configure your destination brief — then generate AI-customised, non-repetitive prompts for every planning and design stage, tailored to Saudi and Gulf hospitality, tourism, resort, hotel, cultural-destination, and visitor-experience planning.
A worked example of what the 35-stage workflow produces — the Jeddah Waterfront Destination taken end-to-end, from waterfront diagnosis and strategic site analysis through design framework, hospitality masterplan and final cinematic visualisation. Competition-grade boards, generated stage by stage.
◈ Case Study · Jeddah Waterfront Destination
The workflow opens by diagnosing the site: a waterfront physically and visually cut off from the city — fragmented edges, weak gateways, exposed open land and an underutilised marina. The board maps every constraint and opportunity that the destination concept must resolve.
Strategic intelligence over the real parcel: high-value waterfront zones, destination nodes, development potential and movement corridors weighed against heat exposure, coastal risk and operational-sensitivity areas — the evidence base for the masterplan.
The destination's design DNA — objectives, principles and measurable KPIs: an ≥80% accessible waterfront, ≥60% shaded area, activity nodes at 150–250m, climate-comfort corridors and a continuous guest experience along the water's edge.
The resolved masterplan: land-use zoning across public waterfront, active retail/F&B edge and mixed-use districts, woven with a walkability and cycling network, primary entry plazas, breeze corridors and a green-and-blue climate strategy.
An eye-level and aerial read of the developed waterfront fabric — accommodation blocks, shaded promenades, marina edge and landscaped public realm resolved into a coherent, walkable hospitality destination along the Corniche.
The signature hero render — the full Jeddah Waterfront Destination at golden hour: marina, resort promenade, pools and landmark frontages reading as one premium, internationally competitive coastal destination.
Generate Saudi and Gulf hospitality & tourism destination planning packages combining the full spectrum of intelligence required for competition-grade output — from site reading and guest-journey design to hospitality masterplanning, destination identity, operations, sustainability and investment logic.
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 hospitality and tourism destination 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 one domain: the full spectrum of Saudi and Gulf hospitality & tourism destination types.
12 non-negotiable principles governing quality hospitality & tourism design in the Saudi and Gulf context. Every prompt generated by this system is built on these foundations.
UrbanGPT.AI separates universal destination-intelligence rules from stage-specific outputs. Global quality standards, Saudi/Gulf context, climate logic, hospitality operations, visual identity and board-formatting rules are inherited once, while each stage focuses only on its unique objective, output type and anti-duplication controls.
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).