Blog
Patterns, strategies, and engineering insights for building enterprise AI systems that actually work.
Why RAG Beats Fine-Tuning for Most Enterprise Use Cases
Fine-tuning sounds impressive, but retrieval-augmented generation solves 80% of enterprise knowledge problems with less cost, less risk, and faster iteration cycles.
The Tool Use Pattern: How AI Agents Actually Work
AI agents aren't magic. They're a loop: the model decides which tool to call, your code executes it, and the result goes back to the model. Understanding this pattern is the key to building reliable AI systems.
Human-in-the-Loop: The Enterprise AI Guardrail Nobody Skips
Fully autonomous AI sounds exciting until you're explaining to the CEO why the bot approved a $2M purchase order. Every serious enterprise AI system has human checkpoints — here's how to design them.
From Prototype to Production: The 4 Stages of Enterprise AI Deployment
The gap between a working demo and a production AI system is enormous. Here's the 4-stage framework that separates teams who ship from teams who stay in pilot mode forever.