AI Benchmarks Explained: How to Actually Compare Models in 2026
A practical guide to reading AI benchmarks, understanding what they measure, and using real usage data to choose the right model.
Blogs
View:
Build Systems That Improve Themselves: The Flywheel Effect for AI Workflows
How to design AI workflows with built-in feedback loops that get better every cycle. Real architecture from a working content pipeline.
DOL AI Literacy Framework: What It Means for Power Users and Trainers
A deep dive into TEN 07-25, the Department of Labor's AI literacy framework. Five content areas, seven delivery principles, and what they mean for anyone building AI training programs.
How We Set Up AI Agents to Review Each Other's Code
A two-agent code review pattern where the implementer and reviewer operate in separate contexts. Architecture, configs, and real bugs caught.
Building a CLAUDE.md That Actually Works
Most CLAUDE.md files are a dumping ground. Here's how to build a three-tier memory system that gives your AI agent exactly the context it needs.
How to Automate an Entire Job With Claude Cowork (Step by Step)
Build persistent, scheduled AI workflows that run without you. Covers role mapping, manual-first automation, scheduled tasks, and real examples from production use.
How to Build an AI-Powered Second Brain with Obsidian
Put your AI agent and your knowledge base in the same folder. Here's the setup that turns Obsidian into a shared workspace your AI can actually use.
How to Build an Autonomous AI Agent Team That Actually Runs
Practical guide to running multiple AI agents that coordinate, remember, and operate on a schedule. Real configs, real costs, real failure modes.
How to Build Custom Skills for Claude (Complete Walkthrough)
Build a custom Claude skill from scratch. Covers folder structure, SKILL.md anatomy, description optimization, testing, and iteration.
How to Compare AI Models Side by Side (And Why You Should)
A practical framework for choosing the right AI model for each task. Covers OpenRouter for comparison testing, model categories, cost analysis, and cross-model workflows.
How to Stop AI Coding Agents from Hallucinating APIs
Practical fixes for AI agents that hallucinate API parameters, use deprecated methods, and forget context between sessions. Covers Context Hub, memory tiers, and curated documentation strategies.
How to Write AI Role Instructions That Actually Work
We audited our own AI role files and found 95+ instances of vague language. Here are the 7 patterns that cause inconsistency and how to fix them.
Systems Thinking for AI Power Users: Build Workflows That Scale
Stop using AI one task at a time. Build pipelines that chain together, run on autopilot, and improve themselves with every cycle.
The GSD Method: How to Actually Get Stuff Done with AI Workflows
A practical system for managing AI workflows. Covers the GSD philosophy, our GSDF funnel variant, and how to stop drowning in prompts without a process.
Claude Code Best Practices in 2026: What Actually Works
Opinionated guide to Claude Code workflows that hold up in production. CLAUDE.md management, cross-model dispatch, context control, and the tips that actually matter.
Commands vs Agents vs Skills in Claude Code: When to Use Each
A decision framework for choosing between Commands, Sub-Agents, and Skills in Claude Code. Architecture, trade-offs, and real examples of each pattern.