Blaz Lab | AI Marketing Operating System

An AI Marketing Operating System that transforms business data into insights, campaigns, creative briefs, production-ready content, and measurable growth

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Inspiration

Small businesses often have access to marketing data but struggle to transform it into consistent marketing actions.

Most AI tools start with a prompt. We believe marketing should start with business context, performance insights, and campaign objectives.

Blaz Lab AI was created to bridge that gap by connecting marketing analytics, growth planning, campaign management, and AI-assisted content creation into one structured workflow.

What it does

Blaz Lab AI is an AI-powered Marketing Intelligence Platform that helps businesses transform marketing data into actionable insights, growth plans, campaigns, and production-ready content.

The platform follows a structured workflow:

Marketing Analytics

↓

Insights

↓

Growth Intelligence

↓

Growth Plans

↓

Campaigns

↓

AI-assisted Content

↓

Publishing Preparation

Instead of asking AI what to create, users first understand what should be created and why.

Current capabilities include:

  • Marketing Analytics
  • Insight Management
  • Growth Intelligence
  • Growth Plans
  • Campaign Workspace
  • AI-assisted Content Generation
  • Prompt Studio
  • Asset Manager
  • Multi-brand Management

How we built it

Blaz Lab AI is built as a local-first web application.

Frontend:

  • React
  • TypeScript
  • Vite
  • Tailwind CSS

Backend:

  • Express
  • tRPC

Data Layer:

  • SQLite

AI:

  • OpenAI
  • Google Gemini
  • Provider-neutral Prompt Studio

The platform separates marketing intelligence, planning, prompt composition, and content production into independent workflow layers, allowing businesses to keep control of their data and review every AI-generated result before publishing.

Challenges we ran into

One of the biggest challenges was designing a workflow that keeps business context connected across analytics, insights, campaigns, and AI-generated content.

Another challenge was building a provider-neutral architecture so businesses are not locked into a single AI provider while maintaining a consistent user experience.

Accomplishments that we're proud of

We are proud of building a complete marketing workflow that starts with business data instead of prompts.

Highlights include:

  • Marketing Analytics workflow
  • Growth Intelligence
  • Campaign-based planning
  • Prompt Studio
  • AI-assisted content generation
  • Structured Single Image and Carousel Blueprints
  • Provider-neutral AI architecture

What we learned

Building AI products is not only about generating content.

The real value comes from combining business context, structured workflows, reusable knowledge, and human review to support better marketing decisions.

What's next

Our next goal is to expand Blaz Lab AI into a complete Marketing Operating System by adding richer historical analytics, deeper marketing intelligence, smarter recommendations, and broader integrations while keeping the platform open, provider-neutral, and business-focused.

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