Hardcore AAA

Problem

Every brand I touched needed the same stack: compiled design tokens, a structured brand DNA document, a CRM for lead intake, automation pipelines for content distribution, and AI agents that stayed on-brand. I was rebuilding this from scratch every time.

The ask: one Brand Operating System that could onboard a new brand in a week. Give it the brand DNA once, and it should compile tokens, seed the agent context, wire the CRM schema, and be ready to generate on-brand content across every channel.

Approach

Hardcore AAA is a Next.js 16 + FastAPI monorepo with 47 routes and a production-grade design token compiler at its core. Point it at an Airtable with a brand DNA schema, run the compiler, and it emits three authoritative artifacts:

• BRAND_DNA.md — voice, tone, prohibited concepts, persona rules
• TOKENS.json — design system primitives (color, type, spacing, motion)
• brand.context.seed.json — agent system prompt scaffold

Every other surface in the platform — landing pages, the multi-brain content router, the HVC (Hardcore Voice Compliance) validator — reads from these three artifacts. Change the brand DNA in Airtable, recompile, and every downstream output updates.

Build Notes

Multi-brain content router. Not every generation task maps to the same model. Claude is the default for technical writing and long-form reasoning. ChatGPT for creative iteration. Gemini for multimodal and voice. The router picks per-task based on metadata and cost budget, with a fallback chain if the primary fails.

HVC validation is the secret weapon. Every AI output scores against the brand DNA before it leaves the system. Score ≥60 passes; below gets rerolled with the voice failure injected into the retry prompt. This is the difference between "AI-generated content" and "brand-aligned content." It kills the generic-AI-smell that breaks trust with brand owners.

9-table Airtable CRM with 10 pipeline stages. Lead intake → enrichment → classification → matched SLA → assigned agent → follow-ups → outcome. The CRM schema is the control plane; n8n flows enforce the SLAs with reminders, escalations, and notifications.

Mem0 + Neo4j for memory and knowledge. Mem0 holds long-term memory (client preferences, campaign history, past outputs). Neo4j maps the knowledge graph between brand entities, assets, and outputs. Queries to "show me every campaign we ran for client X in Q1" hit the graph, not the SQL layer.

OpenAI Agents SDK 0.0.10. Autonomous agent execution with tool-calling, session state, and tracing. Agents compose from a shared tool library so every brand inherits the same capabilities.

Results

Staging deployment with 47 routes, working compiler pipeline, and the multi-brain router in production use for client content. The token compiler has onboarded three brands so far. The HVC validator is the pattern I pitch to every new client — it's the single most important piece of the system.

This is the stack the Hardcore Portfolio v2 site you're reading was explicitly built to showcase — if you're evaluating whether to work with me, this is what you're buying.