Core Insights - The CEO of Superblocks, Brad Menezes, believes that the next billion-dollar startup ideas are hidden within the system prompts used by existing AI unicorns [1] - Superblocks recently announced a $23 million extension to its Series A funding, bringing the total to $60 million, focusing on tools for non-developers in enterprises [1] Summary by Sections System Prompts - System prompts are lengthy instructions (often over 5000-6000 words) that guide foundational models like OpenAI or Anthropic in generating application-level AI products [1] - Each company uses unique system prompts tailored to specific domains and tasks, which are not always publicly available [1] Sharing Insights - As part of launching its AI programming assistant Clark, Superblocks shared 19 system prompt files from popular AI programming products [2] - Menezes noted that system prompts constitute only 20% of the core technology, with the remaining 80% being "prompt enhancement," which includes additional instructions and actions taken during response generation [2] Components of System Prompts - The research on system prompts includes three parts: role prompts, context prompts, and tool usage [3] - Role prompts help maintain consistency in LLMs by providing a defined persona, while context prompts set the necessary background for actions [4] - Tool usage allows the model to perform tasks beyond text generation, guiding it in executing various functions [4] Market Opportunity - Menezes sees an opportunity for Superblocks to enable non-programmers to build applications by handling more tasks, such as security and accessing enterprise data sources [5] - The company has already secured notable clients, including Instacart and Paypaya Global [5] - Superblocks adopts an internal practice where software engineers are not allowed to write internal tools, promoting the development of user-driven intelligent agents [5]