BRANDAI — The design system that travels with you
Brand identity that is portable across AI tools · SaaS · B2C · Freelancers & Creators
- Client
- Side project — RBT Studio
- Role
- Product design · Full-stack · Multi-agent architecture · Prompt engineering
- Timeline
- Own product
- Stack
- Next.js, Supabase, OpenRouter, Upstash Redis, Multi-agent, Markdown
The visual consistency problem in small projects isn’t about talent — it’s about memory. Every time you use an LLM to generate something for your brand, you start from scratch. BrandAI orchestrates five specialised agents to generate a complete design.md: palette, typography, verbal tone, spacing, tokens. A Markdown file that travels with you to any LLM, Cursor or pipeline.
The problem: LLMs don’t remember who you are
A complete design system in Figma or Notion is out of reach for small projects in time and money. But without brand context, every AI generation produces something inconsistent with the last. The result is a visual identity that fragments with every tool you use.
orchestration pipeline — 5 agents: Natural-language input → Orchestrator → Palette agent → Typography agent → Verbal tone agent → Redis · hash cache → Consistency validator → design.md assembly → Supabase · v+1
Solution: A portable artefact generated by specialised agents
Five agents in a pipeline — orchestrator, palette, typography, verbal tone, consistency validator — generate a complete design.md in 60–90 seconds. The validator detects inconsistencies between layers and re-runs the affected agents. The result travels to the IDE, to the chat, to the image generator’s prompt.
Product decisions
- my role: Product design · Full-stack · Multi-agent architecture · Prompt engineering
- users: Wellness founders — no design budget
Freelancers — consistency across clients
Content creators — multiple brands of their own - key product decision: Markdown as the output format. Not Figma, not Notion, not JSON. The most portable file in the digital ecosystem — it works in any editor, any LLM, any CI/CD.
- key AI decision: A different model per agent: haiku for palette and typography, sonnet for orchestrator and validator, gpt-4o-mini for verbal tone. ~30% cost reduction with a Redis cache keyed by semantic hash.
Results
- 60–90s — to generate a complete design.md
- ~30% — cost reduction via Redis cache
- 40% — return rate for evolution mode within 30 days
"The most important decision in the product wasn’t technical — it was about format. Markdown is the most portable artefact in the digital ecosystem."
What was learned
- The consistency validator is the most expensive agent and the most valuable. Without it, the orchestrator assembles sections that contradict each other — a cold palette with a “warm and earthy” tone. With it, average satisfaction rises by 0.8 points out of 5.
- Evolution mode retains more than generation mode. With design.md versioned in Supabase, the cost of switching tools is high. Every brand update that comes back to BrandAI is a natural retention loop.
- Different models per agent via OpenRouter was decisive. GPT-4o-mini outperformed Claude Haiku on verbal tone for English-language wellness brands. A one-line config change, no refactor.