PatchOptic: LLM workflows with projected views and verified patches

Workflows based on large language models (LLMs) face a crucial challenge: managing shared states efficiently and securely. The technique of projected views allows each step of the process to access only the necessary data portion, reducing token consumption and improving performance. However, the true innovation lies in verified patches, which ensure that any proposed local modification is valid when applied to the global state. This approach, similar to compositional optics, establishes contracts between authorized reads and writes, avoiding inconsistencies and vulnerabilities. At Q2BSTUDIO, we integrate principles like these into our custom application solutions, combining artificial intelligence with cybersecurity and AWS and Azure cloud services. Additionally, we offer business intelligence services with Power BI and design AI for businesses that implement robust AI agents. Our custom software adopts architectures like PatchOptic to ensure reliable and scalable processes.