🏢 Pest Management · Footscray, Melbourne
Protect Your Property. Eliminate Pests.
Research Phase
Before writing a single line of code, our research agent studied Westbourne Pest Control — their current website, social presence, reviews, team, and services. Here's what stood out.
SOURCES.md documents category 'Pest Management' and local focus 'Melbourne, Melbourne'.
The demo defines 6 App Router pages (/, /about, /areas, /contact, /services, /services/[slug]), based on app/**/page.tsx files.
SOURCES.md is flagged NEEDS_RESEARCH, so provenance/business specificity is explicitly marked as incomplete.
Design Phase
Every design decision was intentional — informed by the research, not pulled from a template library.
Visual Direction
Route-led Next.js App Router build with a hero-first home page and dedicated /about, /areas, /contact, /services, /services/[slug] pages, plus shared navigation/footer components.
Design Rationale
Source content positions this business in Pest Management and local context around Footscray, so the information architecture prioritizes clear paths to services and contact instead of complex interaction patterns.
Build Phase
Site Architecture
// Next.js App Router
Methodology
Spark (research agent) scraped Westbourne Pest Control'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 Westbourne Pest Control. 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 — 4 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
Compiled strictly from source files in each demo (`app/**/page.tsx`, `components/**`, optional `data/business.json`, and `SOURCES.md`). No external claims were added; unknown facts are left null or explicitly marked as not stated. `buildTimeMinutes` is a conservative estimate derived from page/component counts, not a measured runtime.
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 Westbourne Pest Control's site in 5 minutes. Same process, same quality — a custom website built for you, not a template.