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Notes on building AI systems, shipping products, and working through real-world constraints — not just theory.
Why Observability Matters More Than Accuracy
Tracking, logging, and debugging are often more critical than model performance.
When to Use APIs vs Build In-House Models
A decision framework for choosing between third-party AI tools and custom solutions.
The Hidden Cost of “Quick AI Integrations”
Why fast implementations often create long-term complexity in infrastructure, debugging, and scaling.
AI Agents vs Workflows: What Actually Works Today
A practical comparison of agent-based systems vs structured workflows, with real-world tradeoffs.