Guides
Evergreen study guides on AI concepts - written to build understanding, not just familiarity.
Qwen3.8-27B: How to Actually Install and Run It
August 15, 2026
A practical guide to running Qwen3.8-27B locally with Ollama, llama.cpp, LM Studio, vLLM, and Apple Silicon, including quantization and troubleshooting.
How to Audit AI Benchmark Claims: A Practical Guide
August 8, 2026
Audit AI benchmark claims for contamination, grader errors, harness effects, cherry-picked comparisons, cost per solved task, and independent replication.
How to Build an AI Agent: Start Here
April 30, 2026
A practical map for building your first AI agent, from direct APIs and frameworks to no-code workflows, local models, and MCP.
RAG Works in Theory. Here's Why It Fails in Production.
March 2, 2026
Your RAG pipeline worked in the notebook. Then real users showed up. This guide walks through the failure modes that don't appear until production - bad chunking, misleading similarity scores, context window abuse - and how to think about fixing each one.
Your Model Hit 99% Accuracy. Then You Shipped It.
March 2, 2026
Your training loop finished. Loss curve looked clean. Accuracy: 99.3%. Then production happened. 58%. This guide walks through why dataset filtering is the most consequential decision in your pipeline - and why most developers make it without realizing they made it at all.