The provided sources outline The Experiment Engine, a sophisticated personal innovation operating system designed to transform raw information and fleeting insights into structured enterprise experiments. The system utilizes a Workflow Layer based on a five-stage lifecycle—Capture, Hypothesis, Design, Execution, and Synthesis—which is governed by formal Board Gates to ensure business alignment and professional approval. Powering this process is a Two-Agent AI model where Agent 1 acts as an overnight researcher handling data ingestion and link discovery, while Agent 2 serves as a real-time Socratic thinking partner. All data is maintained in plain markdown files versioned with Git, ensuring that the knowledge base remains portable, transparent, and human-readable. By integrating semantic search through a vector database, the engine surfaces non-obvious connections from a user's past research to solve current challenges. Ultimately, this framework aims to prevent the loss of compounding innovation value by providing a disciplined, AI-assisted path from a simple observation to an industrial-scale pitch.