Practical AI. Real workflows. What we've learned.
A 5-part guide that takes you from understanding why AI hallucinates, through the mechanics of RAG, to building, optimizing, and deploying production-ready systems.
A Reddit post about telling Claude you work at a hospital went viral. Turns out there's actual research explaining why this works across all LLMs.
Microsoft just told thousands of engineers to install Claude Code and compare it to Copilot. When you're running internal benchmarks against a competitor, you're not confident you're winning.
How you split your documents determines whether RAG finds what you need or returns noise. Here's the complete breakdown with code.
Long context windows are getting massive—but that doesn't mean RAG is dead. Here's when each approach actually works, with real numbers.
Everyone obsesses over prompts. The pros optimize their documents. Here's what actually moves the needle.
The consulting industry's biggest shift isn't happening at McKinsey or BCG. It's happening in home offices and co-working spaces, where independent consultants are using AI to punch above their weight.
Enterprise AI has a 5% success rate. Consumer tools hit 40%. No wonder employees are going rogue.
AI models invent facts because they're guessing, not looking things up. There's a fix — and it's the difference between an AI with amnesia and one with a library card.
RAG isn't magic — it's a four-step system. Here's how documents become answers, explained without code.
Most RAG tutorials skip the hard parts. This one doesn't — here's how to actually ship a working system.
Most RAG tutorials stop at "it works." This one shows you how to make it work well.
RAG and fine-tuning solve different problems. Here's how to decide which one your project actually needs.