Currently in beta

Your Voice, Accessible
to Any AI Assistant

RAG-powered voice cloning for startup founders. Generate authentic content that sounds like you — directly from your AI assistant.

See How It Works

Built with

Next.jsOpenAIPineconeMCPTypeScript
Live Demo

See the Difference

Compare standard AI output vs RAG-powered voice cloning

How this demo works

1

Left column — Standard GPT-4 with no context about the founder

2

Right column— RAG pipeline retrieves relevant chunks from the founder's writing, then generates content in their voice

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Both use the same prompt — the difference shows the power of RAG-based voice cloning

How It Works

Three Steps to Your Voice

From raw writing samples to AI-generated content that sounds like you

1

Train Your Voice

Upload 100,000+ words of your writing. RAG learns your authentic voice, vocabulary, and style patterns.

Planned
2

Generate Content

Create LinkedIn posts, investor updates, and more. Every piece sounds authentically like you.

Live — try demo above
3

Integrate with AI

Use MCP to connect with Claude Desktop, Cursor, and any AI assistant. Generate in your voice, anywhere.

Planned
Under the Hood

RAG Architecture

How retrieval-augmented generation powers authentic voice cloning

Embedding

Writing samples are chunked and converted to 512-dimensional vectors using OpenAI's text-embedding-3-small model.

Retrieval

Pinecone performs similarity search to find the most relevant chunks from the founder's writing for each prompt.

Generation

GPT-4 receives retrieved context plus a voice-matching system prompt to generate content in the founder's authentic style.

MCP Integration

Expose voice generation as MCP tools so Claude Desktop, Cursor, or any compatible assistant can use it natively.