What if your content could think?
Turn your life's work into an AI that thinks like you.
Your books, blogs, and ideas—alive and conversational. Scholar, not clone.
A force multiplier for your content.
You've built a corpus—books, research, podcasts, years of thinking. It exists, but it doesn't engage. People can read it, but they can't ask it questions. They can't explore it. They can't see how the pieces connect.
You can capture how people interact with your content.
How It Works
From corpus to selflet
Ingest Your Corpus
Books, blogs, videos, podcasts, tweets—anything that represents your thinking or your body of work. The corpus is the foundation.
Configure Your Approach
Voice-first? We emphasize fine-tuning to capture how you think. Knowledge-first? Context engineering takes the lead, with fine-tuning as polish.
Deploy & Evolve
Your selflet is live. As you create more content, it grows. As models improve, it improves. The corpus endures.
Two Tracks
Choose your approach
Voice & Persona
A living extension of your mind
For creators and artists who want to explore and extend their voice. A selflet is capable of engaging with your ideas, reasoning the way you reason, expressing insights you might have expressed yourself.
Self-exploration
Dialogue with a version of yourself. Ask: What themes appear across my writing that I haven't consciously named? Where do my pieces contradict each other?
Sharing your mind
Give readers, fans, or collaborators access to how you think—not just what you've written. Let them explore your worldview on their own terms.
Technical approach: Fine-tuning captures your cognitive patterns and voice. Retrieval grounds every response in your actual corpus. The goal is to capture patterns of unexpectedness in your language and make that generative.
Knowledge Products
Faithful to the corpus
For those building products around a body of work—scientific research, podcast archives, blog catalogs. The goal is a knowledge product, not a pure persona product.
Research accessibility
Make dense academic work conversational. Let students and peers engage with your findings without wading through papers.
Content at scale
Turn years of podcasts or writing into an explorable resource. Visitors find what they need through dialogue, not search.
Technical approach: Context engineering is the engine—sophisticated retrieval and grounding. Fine-tuning is a finishing tool for tone and style.
Both paths share a core principle: your content is the foundation. Selflet architecture ensures your corpus survives and remains responsive to the rapid pace of LLM development—for both inference and training.
You're not locked into today's models.
The corpus is the product
A reading partner with total recall and no loyalty. Whether you're building a living extension of your mind or a knowledge product for your audience, your content is the foundation.
Selflet architecture grows with you—and with the rapid evolution of AI capabilities.