Exploring AI, Engineering & What's Next

Building practical systems, learning by doing.

I'm Michael Tranchina, a business and technology leader exploring practical applications of artificial intelligence, automation, engineering, and self-hosted systems.

Explore My Work

About

About Michael

I'm Michael Tranchina, a business and technology leader with a long-standing interest in engineering, systems, automation, and practical problem-solving.

I'm currently focused on learning how artificial intelligence can be applied to real-world work, personal productivity, knowledge management, and business development. Much of that learning happens through hands-on projects—building a private AI lab, experimenting with AI agents, developing software tools, and exploring how technology can make complex work simpler and more effective.

I believe the best way to understand new technology is to build with it, test it, document what works, and improve it over time. GameToTrain.com is where I share selected projects, ideas, and lessons from that process.

Interests

Areas of Interest

These are the areas where I'm currently building, experimenting, and learning.

Artificial Intelligence & Agents

Exploring practical uses of large language models, AI agents, automation, and local AI systems that improve real work rather than simply demonstrate technology.

Personal AI Infrastructure

Building a private, flexible AI lab for experimentation, learning, software development, knowledge preservation, and future business opportunities.

Software & Workflow Development

Creating tools, integrations, and repeatable workflows that reduce manual effort, improve reliability, and make complex processes easier to manage.

Knowledge Management

Studying how people and AI systems can preserve experience, lessons learned, decisions, and evolving workflows so valuable knowledge is not lost.

Engineering & Hands-On Experimentation

Learning through practical projects involving systems design, electronics, automation, mechanical concepts, and technical problem-solving.

Projects

Selected Projects

Personal AI Lab

Active

Designing and building a private environment for learning about local AI, agent systems, automation, data organization, and future business applications.

AI Knowledge & Memory System

Active

Developing a structured approach for preserving project context, lessons learned, decisions, experience, and evolving workflows so both people and AI agents can build on prior work.

Voice AI for Small Business

Prototype / Active Learning

Exploring how an AI voice assistant can support a small business by answering calls, handling routine questions, and connecting safely with existing business systems.

Hands-On Engineering Experiments

Ongoing

Building and documenting practical experiments involving electronics, control circuits, sensors, mechanical concepts, and other learn-by-doing technical projects.

Learning

Current Learning Focus

Practical AI Agents

Learning how to design AI agents that can observe, plan, document, and perform useful work safely—with clear authority limits, human approval, and reliable audit trails.

Local and Private AI

Exploring how local models, self-hosted tools, and private infrastructure can support useful AI capabilities while preserving control over data, knowledge, and long-term system flexibility.

Knowledge Evolution

Developing better ways to capture not only facts, but also experience, lessons learned, decisions, and workflow improvements so future work does not repeatedly start from scratch.

AI-Enabled Business Development

Studying how practical AI tools, automation, and agent systems can create new services, improve small-business operations, and support future revenue-generating opportunities.

Contact

Get in Touch

Have a question or want to collaborate? Send a message and I'll get back to you.