Imagine you’re an inventory manager for a retail business and you need to quickly verify stock levels for an unexpected large order while away from your computer. Instead of logging into a dashboard, navigating through menus, and analyzing spreadsheets, you simply send a text message: "Do we have enough iPhones to fulfill an order for 100 units?" Within seconds, you receive a reply: "You have 157 iPhones currently in stock, so you can fulfill this order. Based on your current sales rate of...

Introduction There’s been a lot of excitement lately in our P2 Labs team about the possibilities opened up by Anthropic’s Model Context Protocol, which enables AI tools to connect to a rapidly growing range of external tools and services. One question we've been exploring: how effectively can AI-powered coding assistants handle real-world development tasks when given access to the same resources a human would? The Experiment Since we’ve also been doing some work lately updating our Resume Sizzler demo, that provided use with...

Mobile application deployment has historically been a cumbersome process. Each deployment typically requires two builds (one iOS and one Android), each deployed to a separate store instance that must be manually configured and managed. While several effective tools have emerged in recent years to streamline this process, they all are understandably tuned to the most common use case: building one application for each platform and deploying those applications to the App Store and Play Store, respectively.  However, business needs are varied...

How Multi-Modal LLMs are Revolutionizing Document Processing Anyone who has worked with historical archives, ancestral records, or aged business documents knows the frustration all too well. You're staring at a handwritten letter from the 1800s, a faded hospital record, or a weathered legal document that holds valuable information—if only you could reliably extract it. Traditional Optical Character Recognition (OCR) promised to bridge this gap between physical documents and digital data, but for many challenging documents, it has fallen persistently short. For decades,...

Executive Summary Organizations today face a critical inflection point in managing their data assets. According to Ocient, a leading data intelligence firm, global data creation will reach 200 zettabytes in 2025 (Ocient 2022). This explosive growth, combined with increasing regulatory requirements like GDPR, CCPA, and industry-specific mandates, creates urgent challenges in data management, security, and value creation. The cost of poor data management is substantial. Industry research from Gartner indicates that organizations lose an average of $12.9 million per year due to...