What I'm Building

Why this problem matters

As a parent, I have seen this problem up close. Part of growing into independence now includes learning how to manage the less glamorous parts of adult life - deadlines, forms, reminders, account notices, and institutional communication that still arrives by email whether or not email feels native to you. Students may live in text messages, apps, and DMs, but the important message about financial aid, registration, housing, or a hold on an account often still lands in the inbox. And when it gets missed, the consequences are real.

Why I was positioned to build it

This idea did not come from chasing an AI trend. It came from years of working close to systems where communication, trust, scale, and operational reliability mattered. Over the course of my career, I have seen email from multiple angles. At Iron Mountain, I was part of work connected to email archives and long-term information management for some of the largest organizations in the world. At Constant Contact, I led engineering and operations in an environment where high-volume sending, deliverability, reliability, and customer support all mattered. At Amazon Alexa, I saw what it takes to run consumer-facing systems at massive scale. At Veracode, I worked in a culture shaped by security, compliance, and trust from the start.

That background changed how I see email. For all the attention on new communication channels, email remains the system of record for many of the most important messages in a person's life - especially messages from schools, healthcare providers, financial institutions, and other organizations that still expect people to keep up. The problem is that the inbox is noisier than ever, and many people, especially younger users, do not naturally treat email as their primary operating system for adult life.

Why now

For years, I had ideas about how technology could help people build better email habits and avoid missing important messages without creating more noise. What changed recently is that modern AI-enabled product development made it practical to build that vision in a lightweight, focused, and responsible way. It became possible to create software that can review email signals, identify what is actually important, and surface the right message at the right time - without requiring a giant team or a bloated product footprint.

Email Cheat Code is the result. It is a privacy-conscious, read-only email monitoring product designed to detect critical institutional messages and send timely SMS alerts before deadlines are missed or problems snowball. It is built for students and families, but it is informed by enterprise-grade thinking about architecture, operational resilience, data handling, and user trust.

How it connects to my consulting work

Just as important, it reflects the same judgment I bring to my consulting work. Validate the problem before overbuilding. Design for privacy and security early. Be practical about tradeoffs. Use AI where it creates real leverage, not where it adds novelty. Focus on outcomes for real users. In this case, the outcome is simple: fewer missed messages, fewer preventable surprises, and a better bridge between how institutions communicate and how people actually live.

Email Cheat Code is not separate from my consulting work - it is an example of it. It reflects how I think about product strategy, operational discipline, trustworthy systems, and the practical use of AI to solve messy real-world problems.