Personal AI

Personal AI is a small language model (SLM) platform focused on creating private, personalized AI agents built from an individual’s own knowledge, conversations, and digital history. Instead of relying solely on generic large language models, it lets users train an AI on their unique data—such as notes, messages, documents, and past interactions—so the system can answer questions, draft content, and communicate in their own style and context. The platform emphasizes data privacy and ownership, keeping personal memories and information under user control.

Personal AI supports programmable workflows and integrations, enabling developers and power users to embed customized agents into products, communities, or personal productivity stacks. Typical use cases include knowledge retention, personal CRM, personalized communication at scale, and context-aware assistance for creators, professionals, and founders. By combining a personal memory architecture with efficient SLMs, Personal AI aims to deliver precise, recallable responses that closely reflect the user’s actual experiences and expertise, rather than generic internet training data.