AI Lab 🤖¶
My hands-on exploration of AI technologies—LLMs, agents, RAG systems, and the Model Context Protocol. This is a living lab where experiments evolve into insights, patterns, and production knowledge.
About This Lab
This AI Lab is primarily my personal knowledge base—a way to organize learnings and track experiments as I explore AI technologies. While it's built for my own reference, I hope it provides useful insights into how I approach problems and what I'm currently learning.
Scope & Focus
AI evolves at an extraordinary pace. This lab centers on AI technologies and incorporates other domains (cloud, deployment, frontend, APIs) as they relate to building AI systems. Content flows between raw experiments, polished blog posts, and curated resources as it matures.
What's Inside¶
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AI Concepts
Key concepts like AI Agents, RAG, MCP, Voice AI, and fundamental building blocks.
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AI Interview Proxy
Personal project showcasing voice AI integration with Twilio and OpenAI's Realtime API for natural phone conversations.
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LLM Experiments
Hands-on comparison of LLM providers, function calling capabilities, and real-world performance testing.
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Developer Resources
Curated frameworks, tools, deployment platforms, and learning materials for building AI systems at scale.