🏢 Cafe / Restaurant · Craigieburn, Melbourne
Craigieburn · Local Business
Research Phase
Before writing a single line of code, our research agent studied Waterside Cafe — their current website, social presence, reviews, team, and services. Here's what stood out.
Located at 1 North Shore Drive, Craigieburn — a lakeside address suggesting the cafe sits directly on the shores of Craigieburn's wetlands area, likely one of the only waterfront dining options in Melbourne's northern growth corridor
Yelp photo captions from reviewer Mic W. reveal a menu including Big Breaky, scrambled eggs, lattes, and donuts — alongside interior photos showing a fireplace, suggesting a cosy lakeside dining experience that spans breakfast through dessert
No website, no confirmed hours, no email — yet the cafe has generated Yelp listings, photos, and review content purely through its unique waterside location in a suburb that has grown rapidly as one of Melbourne's largest residential development zones
Design Phase
Every design decision was intentional — informed by the research, not pulled from a template library.
Visual Direction
A 9-component, 6-page site featuring a bespoke Rush Predictor component — designed for a lakeside cafe where weekend crowds and weather directly impact wait times. The build includes an order/book page to manage the capacity constraints inherent in a waterfront venue, an image gallery to showcase the lake views and fireplace interior, and a menu page structured around the breakfast-through-dessert offering confirmed via Yelp.
Design Rationale
Waterside Cafe's entire value proposition is its location — lakeside dining in a northern suburbs growth area with zero comparable competitors. The Rush Predictor component directly addresses the customer experience pain point of arriving to find a packed waterfront cafe with no table. The design creates the complete digital presence this location-driven business needs, from discoverable hours to menu browsing, turning a hidden lakeside gem into a findable destination.
Build Phase
Site Architecture
// Next.js App Router
Methodology
Spark (research agent) scraped Waterside Cafe's current website, Google reviews, social media, and business listings. Every piece of real data — team names, service pricing, business hours, unique details — was extracted into a structured profile.
Based on the research, a bespoke design direction was created specifically for Waterside Cafe. No templates — the typography, color palette, layout patterns, and visual effects were all chosen to match this business's personality and industry.
Pixel (design agent) built the entire 6-page Next.js application from scratch — 9 custom components, real content from the research phase, App Router with proper routing, and production-grade code.
Sentinel (QA agent) verified the build compiles cleanly, checked for placeholder content, validated all routes render correctly, and confirmed the design is unique (not recycled from another demo).
Additional Notes
Research checked 8 sources but was severely limited — Brave Search API was exhausted, and Google, Zomato, TripAdvisor, Yellow Pages, and TrueLocal all blocked scraping. Primary data came from Yelp structured data (phone, suburb, photo captions from reviewer Mic W.) and the business brief. No hours, email, or website could be confirmed. The phone prefix 9333 typically covers Melbourne's northwest, which is consistent with Craigieburn. Data completeness rated low.
More from the experiment
This case study is part of the AI Web Lab — a 30-day experiment where AI agents build bespoke websites for real Melbourne businesses. Every site is researched, designed, and built from scratch by a team of five specialist AI agents. The full methodology, code, and results are documented transparently.
This study is being prepared for publication as part of a research paper on AI-assisted web development at scale.
We built Waterside Cafe's site in 10 minutes. Same process, same quality — a custom website built for you, not a template.