Deep Dives
Our deep thoughts about complex AI issues, architectures, and implementation strategies, going beyond the surface.
The Reality of RAG
RAG (Retrieval Augmented Generation) combines LLMs with external data sources for enhanced AI responses. While perfect for simple Q&A and chatbots with custom data, our real-world implementation revealed significant limitations with accuracy, debugging, and complex queries that required a more sophisticated multi-layered approach.
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Building a HIPAA Compliance Agent with Claude's Agent SDK
I built a HIPAA audit agent that reads code like a human. Here’s the setup, the surprises, and what finally made it click.
AI ROI Metrics: A Practical Guide for CTOs
Learn how to use AI ROI metrics to measure cost savings, revenue, and risk reduction from AI projects without overpromising.
ChatGPT Wrapper vs AI Product: What Are the Key Differences?
Learn the ChatGPT wrapper vs AI product difference so you can spot shallow tools, avoid AI washing, and pick tools that truly help your team.
Rules-Based vs AI-Driven Systems: How to Choose for Your First Product Version
Compare rules-based automation vs AI for your first product version. Learn when to start with rules, when to add AI, and how to avoid costly mistakes.
How to Make Any AI Model Safe through HIPAA Compliance
Is HIPAA compliance stopping you from using Claude, GPT-4, or Gemini in your healthcare projects? In this video, I reveal the "secret" that 95% of healthcare companies don't know: how to make almost ANY AI model HIPAA compliant through cloud provider hosting.
How to Learn AI: A Complete Beginner-to-Executive Learning Path
Discover how to learn AI with our complete beginner-to-executive learning path. Explore effective AI training and learning resources on our blog!