The possibility of creating an autonomous agent with current level hardware is not as far-fetched as it may seem. A single adept engineer could conceivably construct such an agent by amalgamating insights from disparate papers that have been divulged in the field of artificial intelligence. These papers may contain novel algorithms, techniques, or architectures that could be integrated into a coherent and functional system. Moreover, the open source implements that are available today, such as langchain/flow and pinecone db (or similar), could provide the necessary tools and frameworks to assemble an architecture that is self augmenting and self refining. Such an architecture could leverage the power of distributed computing, natural language processing, and machine learning to improve its own performance and capabilities over time. This could potentially enable the agent to surpass the optimal human capacities at most undertakings, or at least match them.