AI-Integrated Systems We've Built
AI has been integrated into several of our internal tools, enhancing automation and decision-making. These are production systems — not experiments — that use AI to solve specific problems within our existing applications.
Our Email Reminder application uses AI to classify incoming emails, extract actionable items, and automatically create tasks in TickTick through Office 365 integration. The AI layer processes natural language content and maps it against custom rule sets to determine priority, category, and required actions — replacing manual email triage with intelligent automation.
Every production application in our portfolio was built with AI-assisted development workflows. From architecture planning and code generation to debugging and testing, AI tools have been a core part of our software development process — accelerating delivery while maintaining code quality across 13+ applications.
Our trading platforms — Tasty Bot and Alpaca Bot — employ algorithmic decision-making for trade execution, position sizing, and risk management. These systems use data-driven automation to process market signals, evaluate entry/exit criteria, and execute trades without manual intervention.
Several of our applications handle large-scale data ingestion and transformation. From processing millions of financial transactions to aggregating portfolio data across multiple brokerages, our systems are designed for efficient, reliable data pipeline operations.
We view AI as a tool that amplifies existing capabilities rather than a standalone product. Every AI integration in our portfolio was driven by a specific need — reducing manual work, improving accuracy, or enabling capabilities that weren't previously feasible. Our experience spans natural language processing, automated classification, algorithmic decision systems, and AI-assisted software development.