Brand voice infrastructure · Define once, enforce everywhere

One brand voice.
Every single output.

Brand consistency breaks down not because people don't care — but because there's no machine-readable source of truth to care about. Ramoira turns your brand voice into a structured schema any system can consume, enforce, and build against.

$ npx ramoira initView on GitHub
$ npx ramoira init
 
↳ Loading brand methodology...
↳ Brand interview (10 questions)
↳ Generating 5-layer schema...
 
✓ brand.schema.json written
✓ schema strictly validated
✓ layers: 5
 
→ ramoira validate
→ ramoira publish
The same problem. Four different angles.
Solo Builder
"My AI content sounds different every time I post."
Every session starts from scratch. Early recognition requires consistency.
Developer
"I rebuild the same brand context for every project."
The brief never travels with the code. Every handoff is a re-brief.
Brand Founder
"My website says one thing. My ads say another."
The brand lives in your head. Every vendor reinterprets it slightly.
Agency
"Our review cycles eat 30% of our production time."
Violations happen because the spec isn't machine-readable. Every piece is a judgment call.
How to use it

Free to generate. Free to publish.

Local
FreeNo account required
npx ramoira init
  • ✓Full 5-layer schema generated locally
  • ✓Works with Cursor, Claude Code, v0
  • ✓Local validation against spec
  • ✓Ramoira holds nothing
Read the docs
Published
FreeComing soon
ramoira publish
  • ✓Everything in Local
  • ✓Public summary at ramoira.com/brands/[slug]/
  • ✓Machine-readable status endpoint
  • ✓Remote agents and pipelines can consume it
Coming soon
What publishing gives you

Your schema at a stable URL.
The brief travels with the work.

Publishing extracts the Identity, Narrative, and Voice layers of your schema and serves them at a public, cacheable endpoint. Any agent, pipeline, or collaborator can fetch your brand spec without you managing a hosted file or re-briefing from scratch. The schema travels with the work.

GET/brands/[slug]/schema.summary.json
Identity, Narrative, Voice layers. Cached. Any agent can fetch it.
GET/brands/[slug]/status
workflowState, certified flag, confidence score. Machine-readable.
Cache-Control: public, max-age=300, stale-while-revalidate=3600
Open source

Open source infrastructure.

The CLI and schema spec are entirely open source. You can integrate brand validation natively into your GitHub repos, CI pipelines, and Cursor rules without any vendor lock-in.

ramoira/cli
npx ramoira init
GitHub →

The CLI that generates brand.schema.json locally. Fully open source so you can inspect exactly how it works before bringing it into your workflow. The CLI runs locally and only connects to the platform if you choose to publish.

npx ramoira initGenerate schema from Q&A
ramoira validateValidate against spec
ramoira publishPush summary to platform
ramoira statusCheck certification status
ramoira/brand-schema-spec
SPEC.md
GitHub →

The open schema format specification. Designed to be completely transparent and open so you can build internal tools and automations without proprietary lock-in.

SPEC.mdFull format specification
examples/Worked examples (Little Rituals, etc.)
validators/JSON Schema validators
layers/Per-layer documentation
ramoira/docs
agent-readable
GitHub →

Integration guides for Cursor, Claude Code, Lovable, and v0. Written for agents and developers, not humans.

integrations/cursor.mdCursor rules integration
integrations/claude-code.mdClaude Code CLAUDE.md setup
integrations/v0.mdv0 system prompt setup
No vendor lock-in
The schema format is open by design. Every brand.schema.json file on GitHub, every Cursor rules reference, and every CLAUDE.md you create belongs to you. You can use the format with or without the Ramoira platform.
Complete transparency
When you run npx ramoira init, you can read the CLI source and see exactly what's happening. Openness is the difference between a tool you trust and a black box you avoid.
Built for the ecosystem
The schema is designed to be the connective tissue between your brand and the AI agents you use. By keeping the specification open, we ensure it can be natively supported by any tool, pipeline, or agent.