About rj-rogers-digital-demo
Landscaping quote intake, field operations and human-reviewed AI in one system
RJ Rogers LandscapeOps — Quote Intake, Field Operations & Human-Reviewed AI RJ Rogers LandscapeOps is a professionally developed landscaping-business application foundation connecting public discovery, structured project requests, staff lead review, scheduling, jobs, customers, crews, materials, invoices, and bounded assistive AI in one responsive experience. Current status and data This is an independent, polished, deployed, pre-revenue portfolio demonstration and is not affiliated with or endorsed by RJ Rogers Landscaping. All people, projects, business records, financial values, and imagery are fictional or synthetic. No verified customers, users, revenue, invoices, leads, or production operating history are represented. Business identity, copy, service scope, policies, destinations, media rights, and production behavior require buyer approval. Core features • Responsive public website with home, services and detail pages, projects and case studies, process, about, community, FAQ guide, contact, privacy, accessibility, and authentic loading/error/404 states • Three-step quote request covering proposed service, timeline, location, project goals, budget range, optional photo context, contact details, review, consent, non-binding disclosure, and demo reference • Portfolio-only sign-in experience that opens a complete Directors AI Workspace without accepting or storing real credentials • Directors dashboard with new leads, site visits, active jobs, open invoices, quote pipeline, AI attention queue, and daily schedule • Operational modules for quote leads, scheduling, jobs, customers, crews, services, materials, invoices, AI workspace, and settings • Bounded assistive AI surfaces for approved public-source guidance, saved-lead summaries, reply drafting, and authorized job briefs • AI safety boundaries: no binding quotes, automatic messages, schedule promises, autonomous job changes, or unreviewed operational mutations • Responsive table-to-card behavior, mobile dashboard dock, visible focus, reduced motion, semantic labels, route metadata, and accessibility-aware interaction • Single synthetic content source, optimized provenance-labelled imagery, strict typing, linting, unit/integration tests, build verification, and route acceptance tests • Architecture and production-boundary documentation covering authentication, persistence, uploads, AI audit, retention, deployment, security, and accessibility Technology stack Next.js 16.3.1, React 19.2.8, TypeScript 5.9.3, Node.js 22.13+, Drizzle ORM 0.45, Tailwind CSS 4.3, ESLint 9, Vinext 1.0 beta/Vite 8 for Sites compatibility, native Next.js builds for Vercel, Cloudflare tooling, strict type checking, Node test runner, route acceptance tests, and a synthetic in-code content layer. The repository includes schema-generation and migration scripts, while production services remain disabled. Target customers Landscaping contractors, hardscape and interlock businesses, outdoor-living specialists, design/build firms, multi-crew service operators, home-improvement contractors, and software businesses seeking a modern landscaping lead-to-invoice foundation. Monetization opportunities Potential models include per-company, per-location, per-user, or per-crew SaaS subscriptions; onboarding and data migration; branded or white-label licensing; managed hosting/support; premium scheduling, estimating, invoicing, and reporting modules; and an optional human-reviewed AI assistant tier. These are opportunities only—no revenue or customers have been verified. Current operating costs The synthetic demonstration can run on a Vercel entry-level plan. Production costs will depend on database activity, private upload storage, email volume, shared rate limiting, observability, backups, analytics, maps/routing, document generation, and optional AI usage. Exact current monthly spend has not been independently verified. Database persistence, production authentication, private uploads, email, Redis, payments, and live AI providers are not currently enabled. Current development stage A polished, production-shaped, pre-revenue application foundation with a full public acquisition journey, structured quote intake, Directors AI Workspace, lead-to-invoice operational surfaces, responsive behavior, bounded AI patterns, synthetic imagery/data, automated verification, and production-boundary documentation. Real infrastructure, official business content, provider integrations, and commercial operations remain deferred. What the buyer receives The private GitHub repository and application source; original digital-experience design, custom RJ demo icon, responsive public pages, synthetic project imagery, quote workflow, Directors AI Workspace, operational modules, bounded AI interaction patterns, Drizzle schema/migration foundations, tests, route metadata, design manifests, implementation report, production-boundary documentation, and source/provenance records. A remote architecture/deployment walkthrough...