Evaluation

How to Evaluate AI Agents: Telling a Real Agent From a Chatbot

Most "agents" shipping to production are chatbots in a trench coat — and most teams are shipping without real evaluation anyway. Here is a durable framework for evaluating AI agents before they reach users.

07/20/2026 · Model Evaluation · 8 min read

The Three Gaps Killing Enterprise AI Agents in Production: Security, Evaluation, and Context

54% of enterprises have already had an AI agent security incident — and most still let agents share credentials. Here are the three gaps behind failing AI agents in production, and a checklist to close them.

07/19/2026 · Industry Trends · 8 min read

How to Evaluate Coding Agents: Benchmarks, Trajectories, and Where Scores Lie

A leaderboard number is the least reliable way to pick a coding agent. Here's a durable coding agent evaluation method that pairs benchmarks with trajectory review and real task economics.

07/09/2026 · Model Evaluation · 8 min read

Are AI Agents Overhyped? A Data-Backed Reality Check for 2026

Zuckerberg says AI agents haven't moved as fast as he hoped, and the froth around AI IPOs is hard to ignore. Here's an honest look at where agents actually deliver in 2026 — and why execution, not intelligence, is the real gap.

07/04/2026 · Industry Trends · 9 min read

Agent Skills Best Practices: How to Structure Them (and the Mistakes to Avoid)

Most agent-skill failures aren't a model problem — they're a structure problem. Here are agent skills best practices: when to write a skill, how to scope and describe it, and how to benchmark whether it actually helps on your own tooling.

06/23/2026 · AI Tutorials · 9 min read

How to Run GLM-5.2 Locally: Setup, Hardware, and How It Stacks Up for Agents

GLM-5.2 is the strongest text-only open-weights LLM right now, and it's built for long-horizon agent work. Here's how to run GLM-5.2 locally, the hardware you actually need, and an honest read on whether it belongs in your agent stack.

06/23/2026 · AI Tutorials · 11 min read