Guide
Key Guides
No guides published for this topic yet.
Latest Signals
No signals published for this topic yet.
Building RAG Systems That Actually Work
73% of enterprise RAG deployments fail, with 80% of failures traced to chunking decisions. This guide covers the implementation decisions that separate working RAG from abandoned prototypes.
Transformer Architecture Explained: The Engine Behind Every AI Model
Every frontier AI model runs on transformers. This guide explains self-attention, scaling laws, Mixture of Experts, FlashAttention, and the modern innovations that determine cost and capability.
Deploying AI Agents to Production: What Actually Works
Only 5.2% of engineering teams have AI agents live in production. This guide covers the infrastructure, reliability, and cost management patterns that separate working deployments from abandoned prototypes.
The AI Agent Security Playbook
AI agents create attack surfaces that chatbots don't. This playbook covers prompt injection, tool misuse, data exfiltration, multi-agent attacks, defense-in-depth, and the compliance timeline.
Fine-Tuning vs RAG vs Prompt Engineering: A Decision Framework
Every AI builder hits the crossroads: better prompts, retrieval, or fine-tuning? This guide provides a concrete decision tree based on data freshness, accuracy needs, cost, and latency.
How to Evaluate AI Models Without Trusting Benchmarks
Benchmarks are contaminated, gamed, and misleading. Here's how to build evaluation systems that predict real-world model performance.
The True Cost of Running AI Agents in Production
Raw API pricing is 30-50% of total agent cost. This guide breaks down where the money actually goes, from orchestration overhead to the Jevons paradox, and how to cut spend without cutting capability.
AI Alignment Explained: What It Actually Means to Make AI Do What We Want
What AI alignment actually means as an engineering problem. The three core challenges, the techniques that exist today, and why agents make everything harder.
Chain-of-Thought Prompting: When It Works, When It Fails, and Why
Chain-of-thought is the most studied prompting technique in AI, and the most misapplied. A decision framework for when it helps, when it hurts, and what it costs.
How to Read AI Research Papers Without a PhD
A practical guide to reading AI research papers. Learn the three-pass method, spot red flags in benchmarks and methodology, and build a sustainable reading practice.