MCP Discoverability: The Hidden Cost of Scale
As the agentic ecosystem matures, tools are no longer scarce. They're everywhere. The hard part now isn't wiring up tools — it's helping models discover which ones to use.
About
I love building things, exploring, and learning. I write about robotics, AI, spiritual growth and mental health.
This space is where I explore the intersection of technology and humanity, from training neural networks to understanding our own neural pathways.
Building
2025 — Enterprise RAG with 89% accuracy. FastSentiment API with sub-100ms inference. AI research agent processing 100+ papers daily.
2024 — ML systems engineering. Traffic sign classification at 96% accuracy. Attention mechanism visualizer for education.
Latest Writing
Context Engineering: The Hidden Lever Behind Agent Performance
In the past year, agent architectures have gone from niche experiments to front-page product strategies. But one area remains dramatically under-discussed: context engineering.
Building Better AI Evals: Lessons from the Trenches
Evaluation has quietly become the backbone of modern AI products. It's what separates a system that 'looks cool in demos' from one that actually works.