Structured AI: The Next Leap in Business Efficiency Alex Kancewick of P2 Labs’ most recent blog explores how Anthropic’s Sequential Thinking MCP Server showcases the practical power of structured reasoning in AI. More than a technical proof of concept, this approach signals a shift in how businesses can operationalize artificial intelligence to address real-world challenges with clarity, precision, and speed. What Is the Sequential Thinking MCP Server—and Why It Matters for Business The Sequential Thinking MCP Server is built on Anthropic’s Model Context...

AI introduces new interaction patterns—and with them, new uncertainties. These systems are non-deterministic. That means even when a user asks the same question twice, the answers might not match. So what does it look like to design for that kind of unpredictability? How do we help users spot AI mistakes—without tanking their trust? One of the biggest UX challenges right now is figuring out how to acknowledge that AI gets things wrong—sometimes confidently wrong—without undermining the entire experience. Some evolving approaches:  Confidence indicators: Simple...

Parsing, Matching, and Acting with Context: A Foundation for the Future of AI Labor Unlocking New Possibilities with Multi-Modal AI The Resume Sizzler, developed by P2 Labs, is more than a resume builder—it's a glimpse into the future of applied intelligence. A few years ago, extracting meaningful insights from unstructured data at scale was nearly impossible. Built on advanced multi-modal AI, this system transforms unstructured data into actionable insights, enabling businesses to automate complex workflows, extract meaning from documents, and make smarter...

What is the Sequential Thinking MCP Server from Anthropic? The Sequential Thinking MCP Server is one of many Reference MCP Servers released by Anthropic to demonstrate the capabilities of their MCP protocol. This server in particular serves the purpose of providing structure to help augment a given AI’s thinking process. The Sequential Thinking server does not do any of it’s own “thinking” or decomposing of a problem. Instead it deterministically receives structured input from an AI, validates the data in the...

Office Manager Magic, Powered by Multi-Modal AI Introduction AI isn’t a futuristic concept, it’s practical labor, available today. Not just for call centers or simple tasks, but for real, dynamic work that used to require a person. This isn’t about replacing people; it’s about helping teams do more with less. The following example highlights how a LangGraph-powered system is already handling quoting and scheduling—tasks that apply to nearly any business. The bigger point: AI agents are here, and they’re ready to do...