Case studies, strategies, and projects - some professional, some personal. All built to solve real problems.
A multi-agent architecture that grows with you. How AI agents collaborate to take a problem from intake to shipped solution - and learn from every build.
When should code decide, and when should a human? A framework for trust boundaries in agentic systems — and why prompt injection makes this the most important design decision you'll make.