Brand Operating System, not another prompt library

Keep every AI output on-brand across tools, teams, and models.

A versioned brand brain for non-technical teams. Define your voice once, score outputs continuously, and detect drift before your market does.

Why now

Marketing stacks are fragmented. Teams jump between ChatGPT, Claude, Notion AI, CMS plugins, automations, and design tools.

Brand policy gets diluted in every handoff. Kajsa makes brand a protocol layer, not a PDF no one opens.

Foundation pillars

Versioned source of truth for tone, values, visual rules, and forbidden language.

Score every generated output against your brand policy before it ships.

Detect when teams, tools, or models move away from your intended brand voice.

Inject brand policy into AI tools, CMS flows, and automations via MCP and API.

Data moat

Every scored asset improves the brand graph and compounds proprietary quality data over time.

Workflow moat

Integrations with MCP/API and automation platforms create switching costs at the process level.

Trust moat

Audit trails and drift history make compliance and consistency measurable, reportable, and defensible.

Phase 1 roadmap

1. Brand schema
Set up versioned brand profile in Supabase (voice, values, claims, forbidden terms).
2. Scoring API
Launch text scoring endpoint that returns score, violations, and suggestions.
3. MCP connector
Expose brand context and scoring over MCP/API for external AI tools and automations.