Founder & Solo Architect — ROCKRLite

Building ROCKRLite: an AI-native live-experience creation and auction platform on the custom ROCKRCOIN (RKS) blockchain. The platform removes upfront cost, legal risk, and financial risk from experience creators ("Creators") by handling the full lifecycle — creation, auction, settlement — on-chain, for every genre and type of live experience: Education, The Arts, Community, Sport, High Street Retail and Health.

AI is woven through the platform via a pluggable factory architecture, not bolted on — scoping ROCKRCOIN Protocol Issuance, Creator's structural inputs, venue requirements, production-scale classification, frequency shape, content enhancement, entity extraction, and ID validation — every provider swappable behind a clean interface (IDataService, ORCID, SerpApi/Google Scholar). The roadmap extends this into marketing automation and a full AI-driven live tutorial course experience: automated course-material generation, learner personalisation, and assessment — all delivered inside the same capsule-based architecture, with AI providers remaining pluggable per ROCKR instance.

Current main, post Phase 0 + Phase 1 of the multi-agent build:

~69,000 lines of application code across 939 files

The 9 production routes undersell the surface area. Each route is a step in a carousel composed of multiple capsules, and each capsule carries its own bottom sheets, validation, AI integration, and i18n. Flat route count, deep component tree — 231 React components implementing a reusable 9-step carousel + capsule pattern.

The hard part is built once. Profile creation/switching; the ROCKRCOIN auction module; ROCKRCOIN, RUIMA account balance management; all replicate this proven structure, so each new app surface ships at a fraction of the original cost. Built to accelerate with a team.

AI is a first-class, pluggable layer — every provider sits behind a factory interface so it can be swapped per ROCKR instance without touching the calling code.

Live today

• Scope ROCKRCOIN Protocol Issuance; the Creator's structural inputs; venue requirements; production-scale classification; frequency shape; content enhancement; entity extraction; ID validation.
• Identity — pluggable ID validation (IDV) behind a provider interface.
• Pluggable data providers — IDataService interface with ORCID and SerpApi (Google Scholar) integrations already wired in.
• Production-hardened — dual-source field locking, profile deduplication, and duplicate-call prevention.

Planned

• Marketing automation — AI-driven promotion and reach for ROCKR live auctions.
• AI-driven live-experience-centred courses / journeys.

All of the above remains provider-agnostic: the factory pattern means a ROCKR instance can plug in its own AI backend.

• Strict separation of concerns — business logic lives in hooks only; components never call services directly.
• Size budgets — components ≤200 lines · hooks ≤250 · services ≤200. A component creeping past budget signals a refactor through context, never an inline exception.
• Pluggable services via factory pattern — IDV, AI data sources, and fiat escrow all swap behind interfaces.
• No cross-step coupling — step dependencies flow through shared context or explicit props, never direct imports.
• Multi-instance open-source model — organisations run their own ROCKR instances with pluggable services.
• GDPR / wallet independence — profile deletion erases personal data but never touches wallet contents.
• Production-first, no mocks — golden-path E2E gate before every commit.

Frontend React · Next.js · TypeScript · Tailwind · shadcn/radix Backend & infra Supabase (auth + database) · Vercel Blockchain Custom ROCKRCOIN blockchain AI Pluggable provider layer (factory pattern) · IDataService · ORCID · SerpApi / Google Scholar Identity Pluggable IDV (Shufti Pro) Internationalisation EN / FR / ES Testing Playwright E2E

ROCKRCOIN — The Rainbow Digital Utility Asset.